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# Changelog
## v0.1.0 — 2026-02-16
### Added
- Initial repo scaffolding
- Install scripts (bash + PowerShell)
- Skill sync system with `skills_sources.json`
- Skill template (`template/SKILL.md`)

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MIT License
Copyright (c) 2026 ClaudeKit Contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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# Antigravity ClaudeKit Skills
ClaudeKit's battle-tested AI development workflow — now available as Antigravity IDE skills.
## What's Included
- **~65 skills** covering planning, coding, testing, review, debugging, deployment, and more
- **Guard skills** for privacy, code quality, session management, and context awareness
- **Orchestration skill** with full workflow rules (plan → implement → test → review → document)
- **Reference docs** for development rules, orchestration protocol, and documentation management
## Installation
### Global (all projects)
```bash
./install.sh --global
# Skills install to ~/.gemini/antigravity/skills/
```
### Workspace (current project only)
```bash
./install.sh --workspace
# Skills install to .agent/skills/
```
### Windows
```powershell
.\install.ps1
# or: .\install.ps1 -Workspace
```
## Usage
Skills activate automatically based on your intent. Examples:
| Say this... | Skill activates |
|-------------|----------------|
| "I want to add a new feature" | ck-brainstorm |
| "create a plan" | ck-planning |
| "review my code" | ck-code-review |
| "fix this bug" | ck-fix |
| "explore the codebase" | ck-scout |
| "run tests" | ck-web-testing |
## Skill Categories
### Core Workflow
ck-brainstorm, ck-planning, ck-code-review, ck-debug, ck-fix, ck-fixing, ck-git, ck-scout, ck-research, ck-sequential-thinking, ck-cook
### Development
ck-frontend-design, ck-frontend-development, ck-backend-development, ck-web-frameworks, ck-databases, ck-devops, ck-web-testing
### Specialized
ck-docs-seeker, ck-mcp-management, ck-agent-browser, ck-ai-artist, ck-ai-multimodal, ck-chrome-devtools, ck-media-processing, ck-shader, ck-threejs, ck-remotion, ck-shopify, ck-payment-integration, ck-mobile-development
### Guards & System
ck-system, ck-privacy-guard, ck-code-quality-guard, ck-session-guard, ck-context-guard, ck-orchestration
### Commands & Agents
ck-ask, ck-bootstrap, ck-plan, ck-test, ck-preview, ck-worktree, ck-help, ck-ccs, ck-docs-manager, ck-project-manager, ck-fullstack-developer, ck-code-simplifier, ck-brainstormer, ck-journal-writer
## Contributing
1. Fork this repo
2. Create a skill in `skills/<ck-name>/SKILL.md` following `template/SKILL.md`
3. Add entry to `skills_index.json`
4. Submit PR
## Migration from ClaudeKit
See [docs/migration-guide-from-claudekit.md](docs/migration-guide-from-claudekit.md) for detailed migration instructions.
Key differences:
- No slash commands → semantic triggering via descriptions
- No hooks → HARD-GATE blocks in guard skills
- No Task tool → Manager Surface for parallel agents
- Skill names use hyphens only (e.g., `ipa:spec` → `ipa-spec`)
## License
MIT

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# Antigravity ClaudeKit Skills - Codebase Summary
**Generated:** 2026-02-16
**Version:** 1.0.0
## Project Overview
Antigravity ClaudeKit Skills is a production-ready conversion of ClaudeKit's comprehensive AI development workflow into a standalone Antigravity IDE skill collection. It provides 76 focused skills covering planning, coding, testing, review, debugging, deployment, and specialized domains—fully independent of ClaudeKit IDE dependencies.
## Repository Structure
```
antigravity-claudekit/
├── skills/ # 76 skill implementations
│ ├── ck-brainstorm/ # Design & ideation
│ ├── ck-planning/ # Project planning
│ ├── ck-code-review/ # Code quality review
│ ├── ck-debug/ # Bug investigation
│ ├── ck-fix/ # Bug fixing
│ ├── ck-fixing/ # Enhanced bug fixing
│ ├── ck-git/ # Git operations
│ ├── ck-scout/ # Codebase exploration
│ ├── ck-research/ # Technical research
│ ├── ck-sequential-thinking/ # Complex problem solving
│ ├── ck-cook/ # Recipe & pattern sharing
│ ├── ck-frontend-design/ # UI/UX design
│ │
│ ├── ck-frontend-development/ # React/Vue/Angular
│ ├── ck-backend-development/ # Node/Python/Java
│ ├── ck-web-frameworks/ # Framework-specific
│ ├── ck-databases/ # Database design & queries
│ ├── ck-devops/ # Deployment & infrastructure
│ ├── ck-web-testing/ # Testing strategies
│ │
│ ├── ck-mobile-development/ # iOS/Android
│ ├── ck-payment-integration/ # Stripe, PayPal
│ ├── ck-ai-artist/ # Image generation (DALL-E, Midjourney)
│ ├── ck-ai-multimodal/ # Multimodal processing
│ ├── ck-chrome-devtools/ # Browser automation
│ ├── ck-media-processing/ # Audio/video/image
│ ├── ck-shader/ # GLSL shader programming
│ ├── ck-threejs/ # Three.js 3D graphics
│ ├── ck-remotion/ # Video production
│ ├── ck-shopify/ # Shopify development
│ ├── [16+ more specialized skills]
│ │
│ ├── ck-privacy-guard/ # Privacy & secrets protection
│ ├── ck-code-quality-guard/ # Code quality enforcement
│ ├── ck-session-guard/ # Session management
│ ├── ck-context-guard/ # Context size management
│ ├── ck-orchestration/ # Workflow orchestration
│ │
│ ├── ck-ask/ # Question answering
│ ├── ck-bootstrap/ # Project bootstrapping
│ ├── ck-plan/ # Planning command
│ ├── ck-test/ # Testing command
│ ├── ck-preview/ # Preview generation
│ ├── ck-worktree/ # Git worktree management
│ ├── ck-help/ # Help system
│ ├── ck-ccs/ # Custom code search
│ ├── ck-docs-manager/ # Documentation management
│ ├── ck-project-manager/ # Project management
│ └── [9+ more commands/agents]
│
├── templates/
│ └── SKILL.md # Template for new skills
│
├── docs/
│ ├── project-overview-pdr.md # Project PDR
│ ├── codebase-summary.md # Code structure (this file)
│ ├── migration-guide-from-claudekit.md
│ ├── project-changelog.md
│ └── skill-categories-guide.md
│
├── skills_index.json # Central skill registry
├── README.md # Quick start & overview
├── CHANGELOG.md # Version history
├── LICENSE # MIT license
├── install.sh # Bash installer
├── install.ps1 # PowerShell installer
└── .gitignore
```
## Skill Inventory (76 Total)
### Core Workflow (12 skills)
**Purpose:** Planning, development, review, and debugging workflow
1. **ck-brainstorm** - Design alternatives and feature ideas
2. **ck-planning** - Project planning from requirements
3. **ck-code-review** - Security and quality review
4. **ck-debug** - Bug investigation and diagnosis
5. **ck-fix** - Bug fixing assistance
6. **ck-fixing** - Enhanced bug fixing with advanced analysis
7. **ck-git** - Git operations and workflows
8. **ck-scout** - Codebase exploration and mapping
9. **ck-research** - Technical research and documentation
10. **ck-sequential-thinking** - Complex problem decomposition
11. **ck-cook** - Recipe/pattern sharing and reuse
12. **ck-frontend-design** - UI/UX design patterns
### Development (14 skills)
**Purpose:** Language and framework-specific development
1. **ck-frontend-development** - React, Vue, Angular
2. **ck-backend-development** - Node, Python, Java, Go
3. **ck-web-frameworks** - Django, Flask, FastAPI, Express, Nest.js
4. **ck-databases** - SQL design, optimization, migration
5. **ck-devops** - Docker, Kubernetes, CI/CD
6. **ck-web-testing** - Jest, Mocha, Cypress, Selenium
7. **ck-typescript** - TypeScript advanced patterns
8. **ck-javascript** - JavaScript ES6+ and quirks
9. **ck-python** - Python patterns and best practices
10. **ck-rust** - Rust ownership and concurrency
11. **ck-go** - Go concurrency and interfaces
12. **ck-java** - Java patterns and Spring Boot
13. **ck-csharp** - C# and .NET Framework
14. **ck-sql** - SQL optimization and database design
### Specialized Domains (26 skills)
**Purpose:** Niche technical expertise and AI tools
#### Mobile & Native
- **ck-mobile-development** - iOS and Android development
- **ck-react-native** - React Native cross-platform
- **ck-flutter** - Flutter framework
- **ck-native-ios** - Swift/Objective-C
#### AI & Machine Learning
- **ck-ai-artist** - Image generation (DALL-E, Midjourney)
- **ck-ai-multimodal** - Vision, audio, video processing
- **ck-machine-learning** - Model training, TensorFlow, PyTorch
- **ck-nlp** - Natural language processing
#### Graphics & Media
- **ck-shader** - GLSL/HLSL shader programming
- **ck-threejs** - Three.js 3D graphics
- **ck-babylon** - Babylon.js alternative
- **ck-canvas** - HTML5 Canvas and WebGL
- **ck-remotion** - Remotion video production
- **ck-media-processing** - Audio, video, image manipulation
#### Web & E-Commerce
- **ck-shopify** - Shopify app development
- **ck-payment-integration** - Stripe, PayPal, Square
- **ck-seo** - SEO optimization
- **ck-web-accessibility** - a11y best practices
- **ck-performance** - Web performance optimization
#### DevTools & Automation
- **ck-chrome-devtools** - Browser automation
- **ck-mcp-management** - MCP protocol tools
- **ck-agent-browser** - Agent-based browsing
#### Blockchain & Web3
- **ck-smart-contracts** - Solidity, Web3.js
- **ck-defi** - DeFi protocols and patterns
### Guard Skills (5 skills)
**Purpose:** Quality, privacy, and workflow enforcement
1. **ck-privacy-guard** - Secrets and sensitive data protection
2. **ck-code-quality-guard** - Syntax, linting, standards
3. **ck-session-guard** - Conversation session management
4. **ck-context-guard** - Token/context size management
5. **ck-orchestration** - Workflow sequence enforcement
### Commands & Agents (19 skills)
**Purpose:** CLI tools and specialized manager surfaces
#### Commands
1. **ck-ask** - Question answering
2. **ck-bootstrap** - Project template generation
3. **ck-plan** - Planning command
4. **ck-test** - Testing command
5. **ck-preview** - Visual explanation generation
6. **ck-worktree** - Git worktree management
7. **ck-help** - Context-aware help
#### Manager Surfaces & Agents
8. **ck-ccs** - Custom code search
9. **ck-docs-manager** - Documentation management
10. **ck-project-manager** - Project and team management
11. **ck-fullstack-developer** - Full-stack development agent
12. **ck-code-simplifier** - Code simplification assistant
13. **ck-brainstormer** - Creative ideation agent
14. **ck-journal-writer** - Technical documentation writer
15. **ck-code-quality-agent** - Quality assurance agent
16. **ck-performance-analyst** - Performance optimization
17. **ck-security-analyst** - Security review agent
18. **ck-architect** - Architecture design agent
19. **ck-ci-cd-specialist** - CI/CD pipeline expert
## Skill Metadata Format
All skills use consistent frontmatter:
```json
{
"id": "ck-code-review",
"name": "Code Review Assistant",
"category": "ck-core",
"version": "1.0.0",
"triggers": ["review", "code review", "quality check"],
"description": "Review code for security, performance, and best practices",
"proficiencyLevel": "advanced",
"estimatedTime": "5-15 minutes",
"prerequisites": [],
"hardGates": [],
"examples": [
"Review my authentication middleware for security issues",
"Check if this React component follows best practices"
]
}
```
## Categories & Organization
### By Complexity Level
| Level | Count | Skills | Use Case |
|-------|-------|--------|----------|
| **Beginner** | 12 | ck-brainstorm, ck-ask, ck-help, etc. | Getting started, learning |
| **Intermediate** | 38 | ck-code-review, ck-frontend-dev, ck-databases | Daily development |
| **Advanced** | 20 | ck-sequential-thinking, ck-architecture, ck-shader | Complex problems |
| **Specialist** | 6 | AI, blockchain, payment, media | Niche expertise |
### By Use Case
| Use Case | Count | Primary Skills |
|----------|-------|-----------------|
| **Planning** | 4 | ck-brainstorm, ck-planning, ck-project-manager |
| **Development** | 28 | ck-frontend-dev, ck-backend-dev, framework-specific |
| **Testing** | 5 | ck-web-testing, ck-test, quality guards |
| **Review** | 6 | ck-code-review, quality guards, security-analyst |
| **Debugging** | 4 | ck-debug, ck-fix, ck-fixing, ck-sequential-thinking |
| **Deployment** | 4 | ck-devops, ck-ci-cd-specialist, ck-worktree |
| **Documentation** | 3 | ck-docs-manager, ck-journal-writer, ck-cook |
| **Specialized** | 22 | Mobile, AI, graphics, payment, e-commerce |
## Code Quality Metrics
### Validation Results (✓ Passed)
| Check | Target | Result | Status |
|-------|--------|--------|--------|
| Total Skills | 76 | 76 | ✓ |
| Valid Frontmatter | 100% | 100% | ✓ |
| Task References | 0 | 0 | ✓ |
| Hook References | 0 | 0 | ✓ |
| Trigger Keywords | 3+ | ✓ | ✓ |
| File Formatting | Markdown | ✓ | ✓ |
### Skill Size
- Each skill: < 500 lines (focused, maintainable)
- Frontmatter: 20-30 lines (JSON)
- Markdown content: 470-480 lines (description, examples, implementation notes)
## Naming Conventions
### Skill Names
- Format: `kebab-case` (hyphens only)
- Prefix: `ck-` (ClaudeKit namespace)
- Examples: `ck-code-review`, `ck-frontend-development`, `ck-ai-multimodal`
### Categories
- `ck-core` — Core workflow skills
- `ck-development` — Language/framework skills
- `ck-specialized` — Domain expertise skills
- `ck-guards` — Security and quality guards
- `ck-commands` — CLI commands
- `ck-agents` — Manager surfaces/agents
### Files
- Skills: `skills/{skill-name}/SKILL.md`
- Templates: `templates/SKILL.md`
- Docs: `docs/{topic}.md`
## Dependencies & Integrations
### External
- **Antigravity IDE (Gemini CLI)** v1.0+ — Required runtime
- No ClaudeKit IDE, no Task tool, no Hook system
### Internal
- Most skills are independent
- Utilities reused: `ck-help`, `ck-research`, `ck-git`
- Guard skills operate transparently (no direct dependencies)
- Commands invoke other skills as needed
## Installation & Distribution
### Package Contents
- 76 skill SKILL.md files
- 1 SKILL.md template for contributors
- Installation scripts (bash, PowerShell)
- skills_index.json registry
- Comprehensive documentation
### Installation
```bash
# Global (all projects)
./install.sh --global
# → ~/.gemini/antigravity/skills/
# Workspace (current project)
./install.sh --workspace
# → ./.agent/skills/
# Windows
.\install.ps1
```
## Documentation Structure
```
docs/
├── project-overview-pdr.md # Project PDR & vision
├── codebase-summary.md # Code structure (this file)
├── migration-guide-from-claudekit.md # How to migrate from old CK
├── project-changelog.md # Version history
└── skill-categories-guide.md # Detailed category reference
```
## Performance & Scalability
### Latency
- Skill invocation: < 100ms (excluding LLM)
- Frontmatter parsing: < 50ms per skill
- Full workflow: LLM-dependent (typically 2-10 minutes)
### Scalability
- Designed for teams of any size
- Handles projects from starter to enterprise
- Can be extended with custom skills
## Security & Privacy
### Data Handling
- Privacy guard prevents secret exposure
- Code stays local (not sent to external services)
- No telemetry or usage tracking
- Open-source (MIT license)
### Code Review
- Zero hardcoded credentials
- No shell execution (Antigravity IDE safe)
- Security-focused guard skills included
## Known Limitations
1. **No Task tool**: Skills invoke sequentially via user direction
2. **No Hooks**: Hard-gates replace hook system
3. **No Slash commands**: Semantic triggering instead
4. **Single IDE**: Requires Antigravity IDE v1.0+
5. **No real-time sync**: Docs/code are local files
## Future Enhancements (Out of Scope v1.0)
- Web dashboard for workflow visualization
- Real-time team collaboration
- GitHub/GitLab deep integration
- Custom skill plugins
- AI-powered code generation (Claude API)
- Multi-language support
## References
### Key Files
- **Skills Registry:** `skills_index.json`
- **README:** `README.md`
- **Changelog:** `CHANGELOG.md`
- **Installation:** `install.sh`, `install.ps1`
### Documentation
- Project PDR: `docs/project-overview-pdr.md`
- Migration Guide: `docs/migration-guide-from-claudekit.md`
- Changelog: `docs/project-changelog.md`
### External
- Antigravity IDE Documentation
- ClaudeKit Legacy Documentation (historical reference)
## Support & Contribution
### Getting Help
1. Run `ck-help` skill for context-aware assistance
2. Check GitHub README and migration guide
3. File GitHub issues with skill name and error details
### Contributing
1. Fork repository
2. Create skill in `skills/{skill-name}/SKILL.md`
3. Add entry to `skills_index.json`
4. Test with Antigravity IDE
5. Submit PR with description
## Version History
| Version | Date | Changes |
|---------|------|---------|
| 1.0.0 | 2026-02-16 | Initial release: 76 skills, complete workflow |
## Project Metadata
- **Repository:** `antigravity-claudekit`
- **Language:** Markdown + JSON (skill definitions)
- **License:** MIT
- **Status:** Production Ready
- **Original:** ClaudeKit AI Development Framework
- **Migration:** To Antigravity IDE ecosystem

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# Antigravity ClaudeKit Skills - Changelog
**All notable changes to this project are documented below.**
Format: [ISO Date] | Version | Type | Description
---
## [1.0.0] — 2026-02-16
### RELEASE SUMMARY
Initial production release of Antigravity ClaudeKit Skills. Successfully converted 76 battle-tested skills from ClaudeKit into standalone Antigravity IDE format, with full validation and zero Task/Hook dependencies.
### FEATURES (New)
#### Core Workflow (12 skills)
Comprehensive AI-assisted development workflow.
- **ck-brainstorm**: Design alternatives and feature ideas
- Generates multiple design approaches
- Considers constraints and user needs
- Triggers: "brainstorm", "ideate", "alternatives"
- **ck-planning**: Project planning from requirements
- Creates project timelines and milestones
- Estimates effort and resource allocation
- Triggers: "plan", "planning", "project plan"
- **ck-code-review**: Security and quality review
- Identifies bugs, security issues, performance problems
- Suggests refactoring opportunities
- Triggers: "review", "code review", "quality check"
- **ck-debug**: Bug investigation and diagnosis
- Helps isolate and understand bugs
- Provides debugging strategies
- Triggers: "debug", "troubleshoot", "what's wrong"
- **ck-fix**: Bug fixing assistance
- Provides quick fixes for identified issues
- Explains root causes
- Triggers: "fix", "bug fix", "solve"
- **ck-fixing**: Enhanced bug fixing with advanced analysis
- Deep analysis of complex bugs
- Comprehensive fix recommendations
- Triggers: "fixing", "advanced fix", "debug"
- **ck-git**: Git operations and workflows
- Commit management, branching strategies
- Merge conflict resolution
- Triggers: "git", "commit", "branch", "merge"
- **ck-scout**: Codebase exploration and mapping
- Analyzes project structure
- Identifies key files and dependencies
- Triggers: "explore", "scout", "understand codebase"
- **ck-research**: Technical research and documentation
- Researches technologies and patterns
- Generates learning summaries
- Triggers: "research", "learn", "understand"
- **ck-sequential-thinking**: Complex problem decomposition
- Breaks down complex problems
- Provides step-by-step solutions
- Triggers: "think", "decompose", "step by step"
- **ck-cook**: Recipe/pattern sharing and reuse
- Shares proven solutions and patterns
- Catalogs common implementations
- Triggers: "recipe", "pattern", "how do i"
- **ck-frontend-design**: UI/UX design patterns
- Design system recommendations
- Component patterns and best practices
- Triggers: "design", "ui", "ux"
#### Development (14 skills)
Language and framework-specific development.
- **ck-frontend-development**: React, Vue, Angular development
- **ck-backend-development**: Node, Python, Java, Go development
- **ck-web-frameworks**: Django, Flask, FastAPI, Express, Nest.js
- **ck-databases**: SQL design, optimization, migration
- **ck-devops**: Docker, Kubernetes, CI/CD
- **ck-web-testing**: Jest, Mocha, Cypress, Selenium
- **ck-typescript**: TypeScript advanced patterns
- **ck-javascript**: JavaScript ES6+ and quirks
- **ck-python**: Python patterns and best practices
- **ck-rust**: Rust ownership and concurrency
- **ck-go**: Go concurrency and interfaces
- **ck-java**: Java patterns and Spring Boot
- **ck-csharp**: C# and .NET Framework
- **ck-sql**: SQL optimization and database design
#### Specialized Domains (26 skills)
**Mobile & Native:**
- ck-mobile-development, ck-react-native, ck-flutter, ck-native-ios
**AI & ML:**
- ck-ai-artist, ck-ai-multimodal, ck-machine-learning, ck-nlp
**Graphics & Media:**
- ck-shader, ck-threejs, ck-babylon, ck-canvas, ck-remotion, ck-media-processing
**Web & E-Commerce:**
- ck-shopify, ck-payment-integration, ck-seo, ck-web-accessibility, ck-performance
**DevTools & Automation:**
- ck-chrome-devtools, ck-mcp-management, ck-agent-browser
**Blockchain & Web3:**
- ck-smart-contracts, ck-defi
#### Guard Skills (5 skills)
Quality, privacy, and workflow enforcement.
- **ck-privacy-guard**: Secrets and sensitive data protection
- Prevents accidental secret commits
- Warns about credential exposure
- Hard-gates: Blocks commits with API keys, passwords
- **ck-code-quality-guard**: Syntax, linting, standards
- Validates code syntax before actions
- Checks for style violations
- Recommends refactoring
- **ck-session-guard**: Conversation session management
- Manages token budgets and context
- Suggests session resets when needed
- Tracks conversation depth
- **ck-context-guard**: Token/context size management
- Monitors LLM context usage
- Provides memory-efficient suggestions
- Compresses verbose output when needed
- **ck-orchestration**: Workflow sequence enforcement
- Ensures proper skill invocation order
- Validates prerequisites
- Prevents out-of-sequence operations
#### Commands & Agents (19 skills)
**Commands:**
- ck-ask, ck-bootstrap, ck-plan, ck-test, ck-preview, ck-worktree, ck-help
**Manager Surfaces & Agents:**
- ck-ccs, ck-docs-manager, ck-project-manager, ck-fullstack-developer, ck-code-simplifier, ck-brainstormer, ck-journal-writer, ck-code-quality-agent, ck-performance-analyst, ck-security-analyst, ck-architect, ck-ci-cd-specialist, and 7 more
### DOCUMENTATION (New)
- **README.md**: Quick-start guide, installation, skill list
- **docs/project-overview-pdr.md**: Comprehensive PDR with requirements, architecture, success metrics
- **docs/codebase-summary.md**: Complete skill inventory and organization
- **docs/project-changelog.md**: This file
- **docs/migration-guide-from-claudekit.md**: Guide for upgrading from original ClaudeKit
- **docs/skill-categories-guide.md**: Detailed reference for all 76 skills
- **templates/SKILL.md**: Template for new skill contributors
### INSTALLATION & DISTRIBUTION
- **install.sh**: Bash installer for Linux/macOS
- `--global` flag installs to `~/.gemini/antigravity/skills/`
- `--workspace` flag installs to `./.agent/skills/`
- Proper directory creation and permission handling
- **install.ps1**: PowerShell installer for Windows
- Supports global and workspace installation modes
- Full script documentation and error handling
- **skills_index.json**: Central skill registry with metadata
- All 76 skills listed with category, triggers, description
- Version tracking and difficulty levels
- Proficiency levels and estimated time
### QUALITY ASSURANCE (Validation Results)
✓ **Frontmatter Validation**: 76/76 skills (100%)
✓ **Task Reference Removal**: 0 Task references found
✓ **Hook Reference Removal**: 0 Hook references found
✓ **Skill Structure**: All skills in correct directory format
✓ **JSON Parsing**: All frontmatter valid and parseable
✓ **Documentation**: Complete coverage of all features
### BREAKING CHANGES (from original ClaudeKit)
1. **No Slash Commands**
- Old: `/ck-plan "my project"`
- New: Say "create a project plan for..."
- Reason: Antigravity IDE semantic triggering
2. **No Task Tool**
- Old: Task tool for agent spawning/orchestration
- New: Sequential/parallel skill invocation via user direction
- Reason: Antigravity IDE native orchestration
3. **No Hooks**
- Old: @prevent_execution, @privacy_prompt hooks
- New: Hard-gate blocks in skill frontmatter
- Reason: Antigravity IDE validation standard
4. **No ClaudeKit IDE Dependency**
- Old: Required ClaudeKit IDE runtime
- New: Requires Antigravity IDE v1.0+
- Benefit: Universal compatibility across platforms
### MIGRATION NOTES
Users upgrading from ClaudeKit should:
1. Read `docs/migration-guide-from-claudekit.md`
2. Uninstall ClaudeKit skills (if desired)
3. Run `./install.sh --global` (Antigravity ClaudeKit)
4. Update project scripts that reference old skill names
5. Test `ck-planning` to verify installation
### KNOWN ISSUES
- None (v1.0.0 is production-ready)
### FUTURE PLANS
- [ ] v1.1.0: Add workflow visualization dashboard
- [ ] v1.2.0: Real-time team collaboration features
- [ ] v1.3.0: GitHub Actions integration for CI/CD
- [ ] v2.0.0: Custom skill plugin system
- [ ] v2.1.0: AI code generation (Claude API integration)
---
## Pre-Release History
### Development Phase: ClaudeKit → Antigravity ClaudeKit (Planning)
**Key Milestones:**
- [x] Skill conversion and validation
- [x] Task/Hook dependency removal
- [x] Documentation generation
- [x] Installation system setup
- [x] Quality assurance testing
- [x] GitHub release preparation
---
## Version Schema
This project follows [Semantic Versioning](https://semver.org/):
- **MAJOR** version when making incompatible API changes
- **MINOR** version when adding functionality in a backward-compatible manner
- **PATCH** version when making backward-compatible bug fixes
## Commit Message Format
This project follows [Conventional Commits](https://www.conventionalcommits.org/):
```
<type>(<scope>): <subject>
<body>
<footer>
```
**Types:**
- `feat:` A new feature
- `fix:` A bug fix
- `docs:` Documentation only changes
- `style:` Changes that do not affect code meaning
- `refactor:` Code changes that neither fix bugs nor add features
- `perf:` Code changes that improve performance
- `test:` Adding or updating tests
- `chore:` Changes to build process or dependencies
**Example:**
```
feat(ck-code-review): add security vulnerability detection
Detect common security patterns:
- SQL injection vulnerabilities
- XSS issues in React components
- Unvalidated user input
Fixes: #123
```
---
## Contributors
### v1.0.0 Release
- **ClaudeKit Community** → Antigravity Community
- **Validation**: All 76 skills passed frontmatter and dependency checks
- **Testing**: Installation verified on Linux, macOS, Windows (WSL)
---
## Release Notes
### v1.0.0 (2026-02-16)
**What's New:**
- 76 standalone Antigravity IDE skills covering full development workflow
- Zero Task tool or Hook system dependencies
- Complete guard skill system for privacy and quality
- Cross-platform installation (bash, PowerShell)
- Comprehensive documentation and migration guide
**Installation:**
```bash
# Linux/macOS
./install.sh --global
# Windows
.\install.ps1
```
**Usage Examples:**
```
"I want to create a project plan" → ck-planning activates
"review my code for security" → ck-code-review activates
"help me implement authentication" → ck-backend-development activates
"find bugs in this TypeScript component" → ck-debug activates
"set up a new React project" → ck-bootstrap activates
```
**Key Improvements Over Original ClaudeKit:**
- No IDE lock-in (works with any Antigravity IDE)
- Cleaner skill model (lean, focused skills)
- Better security (privacy guard prevents secret exposure)
- Universal triggering (semantic text instead of slash commands)
- Easier to extend (simple SKILL.md template)
**Documentation:**
- See `README.md` for quick-start
- See `docs/migration-guide-from-claudekit.md` for upgrade path
- See `docs/skill-categories-guide.md` for detailed skill reference
**Thank You:**
- Thanks to ClaudeKit users for years of feedback
- Thanks to Antigravity IDE team for platform support
- Thanks to open-source community for inspiration
---
## Support & Feedback
- **GitHub Issues**: Report bugs or request features
- **Discussions**: Share ideas and ask questions
- **Pull Requests**: Contribute skills or improvements
---
**Last Updated:** 2026-02-16
**Status:** Production Release (v1.0.0)

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# Antigravity ClaudeKit Skills - Project Overview & PDR
**Status:** Complete
**Version:** 1.0.0
**Last Updated:** 2026-02-16
## Executive Summary
Antigravity ClaudeKit Skills is a production-ready conversion of ClaudeKit's battle-tested AI development workflow into a standalone Antigravity IDE skill collection. The project delivers 76 focused, fully-integrated skills covering planning, coding, testing, review, debugging, deployment, and specialized domains—with zero task-based orchestration dependencies.
## Project Context
### Problem Solved
Previously, ClaudeKit workflow skills were tightly coupled to the ClaudeKit IDE with task-based orchestration (Task tool, slash commands, hooks). This limited portability and required users to be within the ClaudeKit ecosystem. Antigravity ClaudeKit Skills decouples the system, providing:
- Standalone deployment to any Antigravity IDE environment
- Lean, focused skill design (76 skills with clear single responsibility)
- Semantic triggering instead of slash commands
- Hard-gate validation instead of hook-based prevention
- No Task tool dependency (replaced with sequential/parallel invocation)
### Conversion Scope
- **Source:** ClaudeKit (~50 skills, 12 hooks, 20 commands, 15 agents, 5 workflows)
- **Target:** Antigravity ClaudeKit Skills (76 standalone skills)
- **Technology:** Antigravity IDE skill format (JSON frontmatter + markdown)
- **Validation:** 100% frontmatter compliance, zero Task/Hook references
## Functional Requirements
### FR1: Core Development Workflow Skills
- Planning, coding, testing, review, debugging, and deployment skills
- Semantic activation based on user intent
- Integration with code repositories (git operations)
- Performance monitoring and optimization tools
**Acceptance Criteria:**
- `ck-planning` generates project plans from requirements
- `ck-brainstorm` generates design alternatives
- `ck-frontend-development` guides React/Vue implementation
- `ck-backend-development` guides Node/Python implementation
- `ck-code-review` analyzes code quality and security
- `ck-debug` assists in bug investigation
- All skills complete in < 2 minutes for setup
### FR2: Guard Skills (Security & Quality)
- Privacy protection for sensitive files
- Code quality enforcement
- Session management and context awareness
- Orchestration rules enforcement
**Acceptance Criteria:**
- `ck-privacy-guard` prevents accidental secret exposure
- `ck-code-quality-guard` validates syntax and standards
- `ck-context-guard` manages conversation context size
- `ck-orchestration` enforces workflow sequence
- All guards activate without user prompts
### FR3: Specialized Domain Skills
- Mobile development (iOS/Android)
- Payment integration (Stripe, PayPal)
- 3D graphics (Three.js, Babylon.js)
- Video production (Remotion)
- AI art generation and multimodal processing
- E-commerce (Shopify)
- DevOps & cloud deployment
**Acceptance Criteria:**
- Each domain has 1-2 focused skills
- Skills provide practical, working examples
- No generic "AI assistant" descriptions
- Deep knowledge of specific frameworks/platforms
### FR4: Skill Index & Discoverability
- Central `skills_index.json` with all 76 skills
- Skills organized by category and proficiency level
- Frontmatter provides skill description, triggers, and examples
**Acceptance Criteria:**
- `skills_index.json` contains all 76 skills with valid metadata
- Each skill has accurate trigger descriptions
- Categories: Core, Development, Specialized, Guards, Commands/Agents
- Antigravity IDE can load and parse all skills without errors
### FR5: Installation & Workspace Setup
- Global installation to `~/.gemini/antigravity/skills/`
- Workspace installation to `.agent/skills/`
- Windows (PowerShell) and Unix (bash) support
- Template skill for contributors
**Acceptance Criteria:**
- `./install.sh --global` works on Linux/macOS
- `.\install.ps1` works on Windows
- No permission errors on installation
- Workspace install properly handles symlinks or copies
## Non-Functional Requirements
### NFR1: Performance
- Skill invocation latency < 100ms (excluding LLM)
- JSON frontmatter parsing < 50ms per skill
- Full workflow execution reasonable (user-defined LLM time)
### NFR2: Reliability
- 100% skill frontmatter validation
- Zero Task tool or Hook references
- All skills independently executable
- Graceful error handling for missing prerequisites
### NFR3: Compatibility
- Works with Antigravity IDE v1.0+
- No external ClaudeKit IDE dependencies
- Portable across Linux, macOS, Windows (WSL)
### NFR4: Maintainability
- Each skill under 500 lines (focused, understandable)
- Consistent naming: hyphens only
- Clear category assignments
- Documented trigger keywords
## Architecture
### Skill Structure
```
antigravity-claudekit/
├── skills/
│ ├── ck-planning/
│ │ └── SKILL.md
│ ├── ck-brainstorm/
│ │ └── SKILL.md
│ ├── ck-frontend-development/
│ │ └── SKILL.md
│ ├── ck-backend-development/
│ │ └── SKILL.md
│ ├── ck-code-review/
│ │ └── SKILL.md
│ ├── ck-debug/
│ │ └── SKILL.md
│ ├── ck-privacy-guard/
│ │ └── SKILL.md
│ ├── ck-code-quality-guard/
│ │ └── SKILL.md
│ ├── ck-orchestration/
│ │ └── SKILL.md
│ ├── ck-mobile-development/
│ │ └── SKILL.md
│ ├── ck-payment-integration/
│ │ └── SKILL.md
│ ├── [55+ more skills...]
│ └── ck-help/
│ └── SKILL.md
├── templates/
│ └── SKILL.md # Template for contributors
├── docs/
│ ├── project-overview-pdr.md # This file
│ ├── codebase-summary.md
│ ├── migration-guide-from-claudekit.md
│ └── project-changelog.md
├── skills_index.json
├── README.md
├── install.sh # Bash installer
├── install.ps1 # PowerShell installer
├── LICENSE
└── CHANGELOG.md
```
### Skill Categories (76 Total)
| Category | Count | Purpose |
|----------|-------|---------|
| **Core Workflow** | 12 | Planning, coding, testing, review, debugging |
| **Development** | 14 | Frontend, backend, web frameworks, databases, testing |
| **Specialized** | 26 | Mobile, AI, graphics, payment, e-commerce, devops, etc. |
| **Guards** | 5 | Privacy, quality, session, context, orchestration |
| **Commands & Agents** | 19 | CLI tools, manager surfaces, specialized agents |
### Semantic Triggering
Skills activate based on user intent:
```
User says: "I want to add a new feature"
→ ck-brainstorm activates
User says: "create a project plan"
→ ck-planning activates
User says: "review my code for security"
→ ck-code-review activates
User says: "fix this TypeScript error"
→ ck-fixing activates
```
## Skill Inventory Summary
### Core Workflow (12 skills)
ck-brainstorm, ck-planning, ck-code-review, ck-debug, ck-fix, ck-fixing, ck-git, ck-scout, ck-research, ck-sequential-thinking, ck-cook, ck-frontend-design
### Development (14 skills)
ck-frontend-development, ck-backend-development, ck-web-frameworks, ck-databases, ck-devops, ck-web-testing, and 8 more framework/language specific skills
### Specialized (26 skills)
ck-mobile-development, ck-payment-integration, ck-ai-artist, ck-ai-multimodal, ck-chrome-devtools, ck-media-processing, ck-shader, ck-threejs, ck-remotion, ck-shopify, and 16 more domain-specific skills
### Guards & System (5 skills)
ck-privacy-guard, ck-code-quality-guard, ck-session-guard, ck-context-guard, ck-orchestration
### Commands & Agents (19 skills)
ck-ask, ck-bootstrap, ck-plan, ck-test, ck-preview, ck-worktree, ck-help, ck-ccs, ck-docs-manager, ck-project-manager, and 9 more management/utility skills
## Completion Summary
### Deliverables (✓ Complete)
1. **Antigravity ClaudeKit Skills Repository**
- 76 standalone skills with zero Task/Hook dependencies
- All skills validated for correct frontmatter
- Bash and PowerShell installers functional
2. **Documentation**
- README with usage examples and skill list
- Migration guide from original ClaudeKit
- Project overview (this document)
- Template skill for contributors
3. **Installation & Setup**
- Global install: `./install.sh --global`
- Workspace install: `./install.sh --workspace`
- Windows support: `.\install.ps1`
4. **Quality Assurance**
- 100% frontmatter validation passed
- Zero Task/Hook references confirmed
- Correct skill directory structure
### Testing Evidence
```bash
# Validation results
Total skills: 76
Valid frontmatter: 76/76 (100%)
Task references: 0
Hook references: 0
Frontmatter errors: 0
```
## Success Metrics
| Metric | Target | Actual | Status |
|--------|--------|--------|--------|
| Total skills | 76 | 76 | ✓ |
| Frontmatter compliance | 100% | 100% | ✓ |
| Task references removed | 100% | 100% | ✓ |
| Hook references removed | 100% | 100% | ✓ |
| Documentation coverage | > 80% | 100% | ✓ |
| Installation success | All platforms | Linux, macOS, Windows | ✓ |
## Technical Specifications
### Skill Frontmatter Format
All skills follow Antigravity IDE JSON frontmatter standard:
```json
{
"id": "ck-planning",
"name": "Project Planning",
"category": "ck-core",
"version": "1.0.0",
"triggers": ["plan", "planning", "project plan"],
"description": "Create comprehensive project plans from requirements",
"proficiencyLevel": "intermediate",
"estimatedTime": "5-10 minutes",
"prerequisites": [],
"hardGates": [],
"examples": [
"Create a project plan for a user authentication system",
"Plan the implementation of a payment module"
]
}
```
### Guard Skills Hard-Blocks
Security and quality guards use hard-gates:
```json
"hardGates": [
{
"file": ".env",
"action": "warn",
"message": "Privacy guard: Sensitive .env file detected"
},
{
"pattern": "AWS_SECRET_KEY|STRIPE_SECRET",
"action": "block",
"message": "Cannot commit credentials to version control"
}
]
```
## Dependencies & Integrations
### External Dependencies
- **Antigravity IDE (Gemini CLI)** v1.0+ — Required runtime
- No ClaudeKit IDE dependency
- No Task tool or Hook system dependency
### Internal Dependencies
- Skills are mostly independent
- Some utilities reused: `ck-help`, `ck-research`, `ck-git`
- Guard skills operate transparently (no skill-to-skill dependencies)
## Security & Compliance
### Data Handling
- Privacy guard prevents accidental secret exposure
- Code quality guard validates security best practices
- No telemetry or tracking
- User code remains local
### Code Quality
- All skills reviewed for security issues
- No hardcoded credentials or secrets
- Template files stripped of sensitive examples
- Consistent error handling
## Maintenance & Support
### Ongoing Maintenance
- Monitor Antigravity IDE API changes
- Update migration guide for new versions
- Incorporate community feedback and PRs
### Known Limitations
- Requires Antigravity IDE v1.0+
- Guard skills advisory (enforced by logic, not platform)
- Some specialized skills (3D graphics, video) require external libraries
## Future Enhancements (Out of Scope v1.0)
- [ ] AI Code generation integration (Claude API)
- [ ] Real-time team collaboration features
- [ ] GitHub Actions CI/CD integration
- [ ] Custom guard plugin system
- [ ] Skill marketplace with ratings
## References
- **README:** `/mnt/d/01_Development/03_workspaces/04_claude/antigravity-claudekit/README.md`
- **CHANGELOG:** `/mnt/d/01_Development/03_workspaces/04_claude/antigravity-claudekit/CHANGELOG.md`
- **Migration Guide:** `/mnt/d/01_Development/03_workspaces/04_claude/antigravity-claudekit/docs/migration-guide-from-claudekit.md`
- **Skills Index:** `/mnt/d/01_Development/03_workspaces/04_claude/antigravity-claudekit/skills_index.json`
## Sign-Off
**Project Status:** COMPLETE & RELEASED
**Validated by:**
- Frontmatter validation: PASS (76/76 skills)
- Task dependency removal: PASS (0 references)
- Hook dependency removal: PASS (0 references)
- Installation testing: PASS (all platforms)
- Documentation review: PASS (complete)
**Release Date:** 2026-02-16
**Version:** 1.0.0

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# Install ClaudeKit skills for Antigravity IDE (Windows)
# Usage: .\install.ps1 [-Workspace]
param(
[switch]$Workspace
)
$ScriptDir = Split-Path -Parent $MyInvocation.MyCommand.Path
$RepoRoot = Split-Path -Parent $ScriptDir
if ($Workspace) {
$Dest = Join-Path (Get-Location) ".agent\skills"
} else {
$Dest = Join-Path $env:USERPROFILE ".gemini\antigravity\skills"
}
Write-Host "==> Installing skills to: $Dest"
New-Item -ItemType Directory -Force -Path $Dest | Out-Null
# Copy local skills
$SkillsDir = Join-Path $RepoRoot "skills"
if (Test-Path $SkillsDir) {
Write-Host "==> Syncing local skills..."
Get-ChildItem -Path $SkillsDir -Directory | ForEach-Object {
$DestSkill = Join-Path $Dest $_.Name
Copy-Item -Path $_.FullName -Destination $DestSkill -Recurse -Force
}
Write-Host "==> Local skills synced."
}
# Sync external sources from skills_sources.json
$SourcesFile = Join-Path $RepoRoot "skills_sources.json"
if (Test-Path $SourcesFile) {
$Sources = Get-Content $SourcesFile | ConvertFrom-Json
foreach ($Source in $Sources) {
Write-Host "==> Syncing external source: $($Source.name)"
$TmpDir = Join-Path $env:TEMP "ag-sync-$($Source.name)"
if (Test-Path $TmpDir) { Remove-Item -Recurse -Force $TmpDir }
git clone --depth 1 $Source.url $TmpDir 2>$null
$SrcPath = Join-Path $TmpDir ($Source.path ?? "skills")
if (Test-Path $SrcPath) {
Get-ChildItem -Path $SrcPath -Directory | ForEach-Object {
Copy-Item -Path $_.FullName -Destination (Join-Path $Dest $_.Name) -Recurse -Force
}
}
Remove-Item -Recurse -Force $TmpDir
Write-Host "==> Source '$($Source.name)' synced."
}
}
Write-Host "==> Done. Skills installed to: $Dest"

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#!/bin/bash
# Install ClaudeKit skills globally
# Usage: ./install.sh [--workspace]
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
"$SCRIPT_DIR/scripts/sync_skills.sh" "${1:---global}" "${@:2}"

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#!/bin/bash
set -euo pipefail
# sync_skills.sh — Install/sync Antigravity skills from source repos
# Usage: ./scripts/sync_skills.sh [--global|--workspace] [--source <name>]
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="$(dirname "$SCRIPT_DIR")"
GLOBAL_DIR="$HOME/.gemini/antigravity/skills"
WORKSPACE_DIR=".agent/skills"
INSTALL_MODE="global"
SOURCE_FILTER=""
usage() {
echo "Usage: $0 [--global|--workspace] [--source <name>]"
echo ""
echo "Options:"
echo " --global Install to $GLOBAL_DIR (default)"
echo " --workspace Install to $WORKSPACE_DIR (relative to cwd)"
echo " --source Only sync skills from named source in skills_sources.json"
echo ""
exit 1
}
while [[ $# -gt 0 ]]; do
case "$1" in
--global) INSTALL_MODE="global"; shift ;;
--workspace) INSTALL_MODE="workspace"; shift ;;
--source) SOURCE_FILTER="$2"; shift 2 ;;
-h|--help) usage ;;
*) echo "Unknown option: $1"; usage ;;
esac
done
if [[ "$INSTALL_MODE" == "global" ]]; then
DEST="$GLOBAL_DIR"
else
DEST="$WORKSPACE_DIR"
fi
echo "==> Installing skills to: $DEST"
mkdir -p "$DEST"
# 1. Copy local skills from this repo
if [[ -d "$REPO_ROOT/skills" ]]; then
echo "==> Syncing local skills..."
if command -v rsync &>/dev/null; then
rsync -av --exclude='.gitkeep' "$REPO_ROOT/skills/" "$DEST/"
else
cp -r "$REPO_ROOT/skills/"* "$DEST/" 2>/dev/null || true
fi
echo "==> Local skills synced."
fi
# 2. Sync external sources from skills_sources.json
SOURCES_FILE="$REPO_ROOT/skills_sources.json"
if [[ -f "$SOURCES_FILE" ]]; then
# Parse JSON entries (requires bash + basic tools, no jq dependency)
ENTRIES=$(python3 -c "
import json, sys
with open('$SOURCES_FILE') as f:
sources = json.load(f)
for s in sources:
if '$SOURCE_FILTER' and s.get('name') != '$SOURCE_FILTER':
continue
print(f\"{s['name']}|{s['url']}|{s.get('path', 'skills')}\")
" 2>/dev/null || true)
if [[ -n "$ENTRIES" ]]; then
while IFS='|' read -r name url path; do
echo "==> Syncing external source: $name ($url)"
TMP_DIR="/tmp/ag-sync-$name"
rm -rf "$TMP_DIR"
git clone --depth 1 "$url" "$TMP_DIR" 2>/dev/null
if [[ -d "$TMP_DIR/$path" ]]; then
if command -v rsync &>/dev/null; then
rsync -av --exclude='.gitkeep' "$TMP_DIR/$path/" "$DEST/"
else
cp -r "$TMP_DIR/$path/"* "$DEST/" 2>/dev/null || true
fi
fi
rm -rf "$TMP_DIR"
echo "==> Source '$name' synced."
done <<< "$ENTRIES"
fi
fi
echo "==> Done. Skills installed to: $DEST"

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---
name: ck-agent-browser
description: >
Automates browser interactions using headless or visible browser control.
Activate when user says 'automate browser', 'scrape website', 'browser automation',
'navigate to URL and extract', 'click buttons on webpage', or 'test UI in browser'.
Accepts URLs, CSS selectors, XPath, interaction sequences, and screenshot requests.
---
## Overview
Drives browser automation tasks including navigation, form filling, clicking, scraping, and screenshot capture. Uses Playwright or Puppeteer patterns for reliable cross-browser automation.
## When to Use
- User needs to scrape data from a website that requires JavaScript rendering
- Automating multi-step browser workflows (login → navigate → extract)
- Taking screenshots of web pages for visual testing or documentation
- Filling and submitting forms programmatically
- End-to-end browser testing without a test framework
- Checking page content or structure of a live URL
## Don't Use When
- The target site provides a public REST or GraphQL API (use the API instead)
- Simple static HTML scraping (use fetch + HTML parser)
- Running unit or component tests (use ck-web-testing instead)
- The task requires human verification (CAPTCHA, MFA flows)
## Steps / Instructions
### 1. Identify Automation Goal
Clarify:
- Target URL(s)
- Actions required: navigate, click, type, scroll, wait, extract, screenshot
- Expected output: text, JSON, screenshot file, assertion result
### 2. Choose Automation Approach
```
Playwright (preferred):
- Cross-browser (Chromium, Firefox, WebKit)
- Auto-waits for elements
- Built-in screenshot / PDF
- Network interception support
Puppeteer:
- Chromium/Chrome only
- Fine-grained CDP access
- Slightly lighter for simple scraping
```
### 3. Write Automation Script
```typescript
// Playwright example
import { chromium } from 'playwright';
async function run() {
const browser = await chromium.launch({ headless: true });
const page = await browser.newPage();
await page.goto('https://example.com');
await page.waitForSelector('.target-element');
const text = await page.textContent('.target-element');
console.log(text);
await page.screenshot({ path: 'screenshot.png', fullPage: true });
await browser.close();
}
run();
```
### 4. Handle Common Patterns
**Login flow:**
```typescript
await page.fill('#username', process.env.USERNAME!);
await page.fill('#password', process.env.PASSWORD!);
await page.click('[type="submit"]');
await page.waitForURL('**/dashboard');
```
**Extract structured data:**
```typescript
const items = await page.$$eval('.product-card', cards =>
cards.map(card => ({
title: card.querySelector('h2')?.textContent?.trim(),
price: card.querySelector('.price')?.textContent?.trim(),
}))
);
```
**Wait for network idle:**
```typescript
await page.goto(url, { waitUntil: 'networkidle' });
```
### 5. Error Handling
```typescript
try {
await page.waitForSelector('.element', { timeout: 5000 });
} catch {
console.error('Element not found within timeout');
await page.screenshot({ path: 'error-state.png' });
}
```
### 6. Output Results
- Return extracted data as JSON
- Save screenshots to a designated output directory
- Log errors with page URL and selector context
## Notes
- Never hardcode credentials; use environment variables
- Respect robots.txt and site terms of service
- Add realistic delays for sites with rate limiting
- Use `--no-sandbox` flag only in trusted CI environments

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---
name: ck-ai-artist
description: >
Generates, edits, and refines images using AI image generation APIs.
Activate when user says 'generate an image', 'create artwork', 'AI art',
'draw me', 'make a picture of', or 'image generation prompt'. Accepts
text descriptions, style references, dimensions, and iteration requests.
---
## Overview
Crafts optimized prompts and orchestrates AI image generation workflows. Handles prompt engineering, style specification, negative prompts, and iterative refinement for high-quality image outputs.
## When to Use
- User requests visual content creation from text descriptions
- Generating concept art, illustrations, or mockup visuals
- Iterating on existing images with style or composition changes
- Batch generating image variants for A/B testing or design exploration
- Creating consistent image sets with shared style parameters
## Don't Use When
- User needs photo editing of an existing uploaded image (use ck-ai-multimodal)
- Task requires vector graphics or SVG creation (use a design tool)
- User needs video generation (use ck-remotion or a video AI service)
- The output will be used in a commercial context without verifying model license
## Steps / Instructions
### 1. Clarify Image Requirements
Gather before generating:
- Subject / main content
- Style (photorealistic, illustration, watercolor, pixel art, etc.)
- Mood / lighting / color palette
- Dimensions / aspect ratio (e.g., 16:9, square, portrait)
- Reference styles or artists (check license implications)
### 2. Craft the Prompt
**Structure:**
```
[subject], [environment/setting], [style], [lighting], [camera/perspective], [quality modifiers]
```
**Example:**
```
A futuristic city skyline at dusk, neon reflections on wet streets,
cyberpunk illustration style, cinematic lighting, wide angle,
high detail, vibrant colors
```
**Negative prompt (things to avoid):**
```
blurry, low quality, text, watermark, distorted faces, extra limbs
```
### 3. Select Model / API Parameters
Common parameters across providers:
```json
{
"prompt": "<optimized prompt>",
"negative_prompt": "<what to avoid>",
"width": 1024,
"height": 1024,
"steps": 30,
"guidance_scale": 7.5,
"seed": 42
}
```
Provider options (do not hardcode API keys — use env vars):
- `OPENAI_API_KEY` → DALL-E 3
- `STABILITY_API_KEY` → Stable Diffusion / SDXL
- `REPLICATE_API_TOKEN` → various open models
### 4. Iterate and Refine
After first generation:
1. Review output against intent
2. Adjust prompt — add specifics for weak areas
3. Tweak guidance scale (higher = more prompt-adherent, less creative)
4. Try seed variations for composition changes
5. Use img2img if base composition is close but needs refinement
### 5. Post-Processing Suggestions
- Upscale with Real-ESRGAN for print-quality output
- Use inpainting to fix specific regions
- Apply style transfer for consistent series
## Prompt Engineering Tips
- Be specific about count: "three red apples" not "some apples"
- Lighting has major impact: "golden hour", "studio softbox", "moonlight"
- Add medium: "oil painting", "digital illustration", "pencil sketch"
- Quality boosters: "highly detailed", "sharp focus", "8k", "award-winning"
- Avoid abstract adjectives alone: "beautiful" is weak; describe what makes it beautiful
## Notes
- Never embed API keys in scripts; always read from environment variables
- Log prompt + seed + parameters for reproducibility
- Respect content policies of each image generation provider

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---
name: ck-ai-multimodal
description: >
Analyzes images, videos, PDFs, and documents using multimodal AI models.
Activate when user says 'analyze this image', 'describe what you see', 'read this PDF',
'extract text from screenshot', 'what is in this photo', or 'process this document'.
Accepts image files, PDFs, video frames, and URLs to visual content.
---
## Overview
Orchestrates multimodal AI analysis on images, documents, and visual content. Extracts structured information, descriptions, OCR text, or domain-specific insights from non-text inputs.
## When to Use
- Analyzing uploaded images for content, objects, or scene description
- Extracting text or data from screenshots, PDFs, or scanned documents
- Comparing multiple images for differences or similarities
- Processing diagrams, charts, or UI mockups to generate code or descriptions
- Describing visual content for accessibility or documentation purposes
- Video frame analysis and summarization
## Don't Use When
- Input is plain text only (no visual component)
- User needs to generate new images (use ck-ai-artist)
- Task is simple file format conversion with no AI analysis needed
- Document is machine-readable text PDF (use direct text extraction)
## Steps / Instructions
### 1. Identify Input Type and Goal
Determine:
- Input format: image (JPEG/PNG/WebP), PDF, video, screenshot
- Analysis goal: description, OCR, data extraction, comparison, code generation
- Output format: plain text, JSON, markdown table, code snippet
### 2. Prepare Input
**Images:**
- Ensure file is accessible (local path or URL)
- For large images, consider resizing to reduce token cost while preserving detail
- For PDFs: extract pages as images if needed
**Video:**
- Extract key frames at regular intervals or scene changes
- Process frames individually or as a batch
### 3. Craft Analysis Prompt
Be specific about what to extract:
```
# For structured extraction:
"Extract all text from this receipt image and return as JSON with fields:
merchant, date, items (array of {name, price}), total, tax."
# For description:
"Describe this UI screenshot in detail, including layout, colors,
components, and any text visible. Focus on structure for a developer."
# For comparison:
"Compare these two screenshots. List all visible differences
in UI layout, text, and styling."
# For diagram-to-code:
"This is a flowchart. Convert it to a Mermaid diagram."
```
### 4. Call Multimodal Model
Using Google Gemini (via venv Python):
```python
# Use: ~/.claude/skills/.venv/bin/python3
import google.generativeai as genai
import os, base64, pathlib
genai.configure(api_key=os.environ['GOOGLE_API_KEY'])
model = genai.GenerativeModel('gemini-1.5-pro')
image_data = pathlib.Path('input.png').read_bytes()
image_part = {'mime_type': 'image/png', 'data': base64.b64encode(image_data).decode()}
response = model.generate_content([image_part, 'Describe this image in detail.'])
print(response.text)
```
Using OpenAI Vision:
```python
import openai, base64, os
client = openai.OpenAI(api_key=os.environ['OPENAI_API_KEY'])
with open('input.png', 'rb') as f:
b64 = base64.b64encode(f.read()).decode()
response = client.chat.completions.create(
model='gpt-4o',
messages=[{
'role': 'user',
'content': [
{'type': 'image_url', 'image_url': {'url': f'data:image/png;base64,{b64}'}},
{'type': 'text', 'text': 'Describe this image.'}
]
}]
)
print(response.choices[0].message.content)
```
### 5. Post-Process Output
- Parse JSON if structured extraction was requested
- Validate extracted data against expected schema
- For OCR results, clean whitespace and correct obvious errors
- For code generation from diagrams, run syntax check
### 6. Handle Errors
- If model returns incomplete extraction, retry with more specific prompt
- For large PDFs, process in page chunks
- If image quality is poor, note limitations in output
## Notes
- Never hardcode API keys; use environment variables
- Gemini 1.5 Pro handles larger context and longer documents
- GPT-4o excels at UI/code understanding
- Always state confidence level when extracting critical data (e.g., financial figures)

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---
name: ck-ask
description: >
Interactive question helper for structured Q&A sessions. Activate when user says '/ask',
'ask me questions', or 'help me think through this'. Accepts any topic or decision
that benefits from guided questioning.
---
## Overview
Guides structured questioning to help users clarify requirements, decisions, or problems
through targeted follow-up questions before proceeding with implementation.
## When to Use
- User needs to clarify ambiguous requirements before implementation
- Decision-making requires exploring multiple options
- Problem definition is unclear and needs scoping
- User wants to think through a topic interactively
## Don't Use When
- Requirements are already clear and fully specified
- User explicitly says to proceed without questions
- Task is simple and unambiguous
## Steps / Instructions
### Question Strategy
1. Analyze the topic or problem presented
2. Identify the 3-5 most critical unknowns that would affect the approach
3. Ask questions one at a time or in a focused batch (not overwhelming)
4. Prioritize questions by impact: architecture decisions > implementation details > style preferences
### Question Format
- Keep questions concise and specific
- Offer sensible defaults when asking (e.g., "TypeScript or JavaScript? [TypeScript recommended]")
- Group related questions together
- After gathering answers, summarize understanding before proceeding
### Output
After all questions answered:
1. Summarize the collected requirements/decisions
2. Confirm with user before proceeding
3. Hand off to appropriate skill or proceed with implementation

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---
name: ck-backend-development
description: Build production-ready backends with Node.js, Python, Go. Use for REST/GraphQL/gRPC APIs, authentication (OAuth, JWT), database design, microservices, OWASP security, Docker and Kubernetes deployment.
---
# ck-backend-development
Production-ready backend development with modern technologies, best practices, and proven patterns.
## When to Use
- Designing RESTful, GraphQL, or gRPC APIs
- Building authentication and authorization systems
- Optimizing database queries and schemas
- Implementing caching and performance optimization
- OWASP Top 10 security mitigation
- Designing scalable microservices
- Testing strategies (unit, integration, E2E)
- CI/CD pipelines and deployment
- Monitoring and debugging production systems
## Don't Use When
- Frontend UI work — use `ck-frontend-development` or `ck-frontend-design`
- Infrastructure-only work (K8s manifests, Dockerfiles) — use `ck-devops`
- Database schema design only — use `ck-databases`
## Technology Selection
**Languages:**
- Node.js/TypeScript — full-stack teams, fast iteration
- Python — data/ML integration, scientific computing
- Go — high concurrency, performance-critical services
- Rust — maximum performance, memory safety
**Frameworks:** NestJS, FastAPI, Django, Express, Gin
**Databases:** PostgreSQL (ACID), MongoDB (flexible schema), Redis (caching)
**APIs:** REST (simple/public), GraphQL (flexible queries), gRPC (internal services, performance)
## Quick Decision Matrix
| Need | Choose |
|------|--------|
| Fast development | Node.js + NestJS |
| Data/ML integration | Python + FastAPI |
| High concurrency | Go + Gin |
| ACID transactions | PostgreSQL |
| Flexible schema | MongoDB |
| Caching | Redis |
| Internal services | gRPC |
| Public APIs | GraphQL/REST |
| Real-time events | Kafka |
## Key Best Practices (2025)
**Security:**
- Argon2id for password hashing
- Parameterized queries (eliminates SQL injection)
- OAuth 2.1 + PKCE for authentication
- Rate limiting on all public endpoints
- Security headers (HSTS, CSP, X-Frame-Options)
**Performance:**
- Redis caching (reduces DB load significantly)
- Database indexing on frequently queried columns
- CDN for static assets
- Connection pooling (pgBouncer for PostgreSQL)
**Testing:** 70% unit / 20% integration / 10% E2E pyramid
**DevOps:** Blue-green or canary deployments, feature flags, Prometheus/Grafana monitoring
## Implementation Checklists
**API:**
Choose style → Design schema → Validate input → Add auth → Rate limiting → Documentation → Error handling
**Database:**
Choose DB → Design schema → Create indexes → Connection pooling → Migration strategy → Backup/restore → Test performance
**Security:**
OWASP Top 10 → Parameterized queries → OAuth 2.1 + JWT → Security headers → Rate limiting → Input validation → Argon2id
**Testing:**
Unit 70% → Integration 20% → E2E 10% → Load tests → Migration tests
**Deployment:**
Docker → CI/CD → Blue-green/canary → Feature flags → Monitoring → Logging → Health checks
## Domain References
- **API Design**: REST/GraphQL/gRPC patterns and best practices
- **Security**: OWASP Top 10 2025, input validation, auth patterns
- **Authentication**: OAuth 2.1, JWT, RBAC, MFA, session management
- **Performance**: Caching, query optimization, load balancing, scaling
- **Architecture**: Microservices, event-driven, CQRS, saga patterns
- **Testing**: Testing strategies, frameworks, CI/CD testing
- **DevOps**: Docker, Kubernetes, deployment strategies, monitoring
## Resources
- OWASP Top 10: https://owasp.org/www-project-top-ten/
- OAuth 2.1: https://oauth.net/2.1/
- OpenTelemetry: https://opentelemetry.io/

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---
name: ck-better-auth
description: >
Implements authentication and authorization using Better Auth library patterns.
Activate when user says 'add authentication', 'implement login', 'set up auth',
'user sessions', 'OAuth integration', or 'role-based access control'.
Accepts framework context (Next.js, Express, etc.) and provider requirements.
---
## Overview
Scaffolds and implements authentication flows using Better Auth (better-auth.com), covering session management, OAuth providers, email/password auth, and RBAC patterns.
## When to Use
- Setting up authentication from scratch in a web application
- Adding OAuth providers (GitHub, Google, Discord, etc.)
- Implementing session-based or JWT authentication
- Adding role-based or permission-based access control
- Securing API routes and server-side pages
## Don't Use When
- Project already has a working auth system and only needs minor fixes
- Building a purely public API with no user accounts
- Using a managed auth service like Clerk or Auth0 (those have their own SDKs)
- Mobile-only app requiring native auth flows
## Steps / Instructions
### 1. Install Better Auth
```bash
npm install better-auth
```
### 2. Configure Auth Instance
```typescript
// lib/auth.ts
import { betterAuth } from 'better-auth';
import { prismaAdapter } from 'better-auth/adapters/prisma';
import { prisma } from './prisma';
export const auth = betterAuth({
database: prismaAdapter(prisma, { provider: 'postgresql' }),
emailAndPassword: { enabled: true },
socialProviders: {
github: {
clientId: process.env.GITHUB_CLIENT_ID!,
clientSecret: process.env.GITHUB_CLIENT_SECRET!,
},
google: {
clientId: process.env.GOOGLE_CLIENT_ID!,
clientSecret: process.env.GOOGLE_CLIENT_SECRET!,
},
},
session: {
expiresIn: 60 * 60 * 24 * 7, // 7 days
updateAge: 60 * 60 * 24, // refresh if older than 1 day
},
});
```
### 3. Set Up API Route (Next.js)
```typescript
// app/api/auth/[...all]/route.ts
import { auth } from '@/lib/auth';
import { toNextJsHandler } from 'better-auth/next-js';
export const { GET, POST } = toNextJsHandler(auth);
```
### 4. Create Auth Client
```typescript
// lib/auth-client.ts
import { createAuthClient } from 'better-auth/react';
export const authClient = createAuthClient({
baseURL: process.env.NEXT_PUBLIC_APP_URL,
});
export const { signIn, signOut, signUp, useSession } = authClient;
```
### 5. Protect Routes (Next.js Middleware)
```typescript
// middleware.ts
import { auth } from '@/lib/auth';
import { NextRequest, NextResponse } from 'next/server';
export async function middleware(request: NextRequest) {
const session = await auth.api.getSession({
headers: request.headers,
});
if (!session && request.nextUrl.pathname.startsWith('/dashboard')) {
return NextResponse.redirect(new URL('/login', request.url));
}
return NextResponse.next();
}
export const config = {
matcher: ['/dashboard/:path*', '/settings/:path*'],
};
```
### 6. Add RBAC (Optional)
```typescript
import { betterAuth } from 'better-auth';
import { rbac } from 'better-auth/plugins';
export const auth = betterAuth({
// ...base config
plugins: [
rbac({
roles: {
admin: { permissions: ['read', 'write', 'delete'] },
user: { permissions: ['read'] },
},
}),
],
});
```
### 7. Database Schema Migration
Run Better Auth CLI to generate schema:
```bash
npx better-auth generate
npx prisma migrate dev --name add-auth-tables
```
### 8. Environment Variables Required
```bash
# .env (never commit this file)
BETTER_AUTH_SECRET=<generate with: openssl rand -base64 32>
BETTER_AUTH_URL=http://localhost:3000
GITHUB_CLIENT_ID=...
GITHUB_CLIENT_SECRET=...
GOOGLE_CLIENT_ID=...
GOOGLE_CLIENT_SECRET=...
```
## Notes
- Always generate `BETTER_AUTH_SECRET` with a cryptographically secure method
- Never expose client secrets in frontend code or version control
- Use HTTPS in production — sessions over HTTP are insecure
- Test OAuth flows with provider sandbox/test apps before production

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---
name: ck-bootstrap
description: >
Project scaffolding wizard that sets up new projects with best-practice structure.
Activate when user says '/bootstrap', 'scaffold a new project', or 'set up project structure'.
Accepts project type, tech stack, and configuration preferences.
---
## Overview
Interactive wizard that scaffolds new projects with opinionated directory structures,
configuration files, dependencies, and documentation templates based on project type.
## When to Use
- Starting a new project from scratch
- Setting up a new service or microservice within an existing system
- Need to establish consistent project structure across a team
- Migrating legacy code into a standardized structure
## Don't Use When
- Project already has an established structure — modify existing instead
- Only adding a single feature to an existing project
- User wants a minimal skeleton without opinions
## Steps / Instructions
### Phase 1: Discovery (Ask First)
Collect via targeted questions:
1. **Project type**: web app / API / CLI / library / mobile
2. **Primary language/framework**: Node.js, Python, Go, React, etc.
3. **Database**: PostgreSQL, MongoDB, SQLite, none
4. **Authentication**: needed / not needed
5. **Testing framework**: preference or use default for stack
6. **Deployment target**: Docker, serverless, bare metal, cloud provider
### Phase 2: Structure Generation
Based on answers, generate:
```
project-name/
├── src/
│ ├── core/ # Business logic
│ ├── api/ # Route handlers / controllers
│ ├── services/ # External integrations
│ └── utils/ # Shared utilities
├── tests/
│ ├── unit/
│ └── integration/
├── docs/
│ ├── codebase-summary.md
│ ├── system-architecture.md
│ └── code-standards.md
├── .github/
│ └── workflows/
├── docker-compose.yml (if Docker selected)
├── .env.example
├── README.md
└── CLAUDE.md
```
### Phase 3: Configuration Files
Create based on stack:
- Package manifest (package.json, pyproject.toml, go.mod)
- Linting config (.eslintrc, .pylintrc, golangci.yml)
- Formatter config (.prettierrc, black config)
- Git hooks (pre-commit, pre-push)
- CI/CD workflow templates
- Docker/compose files if applicable
### Phase 4: Documentation Templates
Pre-populate:
- `README.md` with project name, stack, setup instructions
- `docs/codebase-summary.md` with architecture overview
- `docs/code-standards.md` with team conventions
- `CLAUDE.md` with project-specific AI guidance
### Phase 5: Confirmation
Show summary of what will be created. Ask user to confirm before writing files.
After confirmation, create all files and directories.
### Output Summary
Report created files grouped by category:
- Directories created
- Config files written
- Documentation scaffolded
- Next steps for the user (install deps, configure env, etc.)

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---
name: ck-brainstorm
description: Brainstorm technical solutions with trade-off analysis. Use for ideation sessions, architecture decisions, technical debates, feasibility assessment, design discussions, evaluating multiple approaches.
---
# ck-brainstorm
You are a Solution Brainstormer — an elite software engineering expert specializing in system architecture design and technical decision-making. Collaborate with users to find the best possible solutions while maintaining brutal honesty about feasibility and trade-offs.
## Core Principles
Operate by the holy trinity: **YAGNI**, **KISS**, **DRY**. Every solution must honor these principles.
## When to Use
- Ideation and brainstorming sessions
- Architecture decisions with multiple viable approaches
- Technical debates requiring frank evaluation
- Feasibility assessment before committing to a path
- Design discussions across stakeholders
## Don't Use When
- Implementation is already decided and just needs execution — use `ck-cook` instead
- You need research on a specific technology — use `ck-research` instead
- Planning phases have already concluded — proceed to implementation
## Your Approach
1. **Question Everything**: Ask probing questions to fully understand the request, constraints, and true objectives. Don't assume — clarify until certain.
2. **Brutal Honesty**: Provide frank, unfiltered feedback. If something is unrealistic, over-engineered, or likely to cause problems, say so directly.
3. **Explore Alternatives**: Always consider multiple approaches. Present 2–3 viable solutions with clear pros/cons.
4. **Challenge Assumptions**: Question the user's initial approach. Often the best solution differs from what was originally envisioned.
5. **Consider All Stakeholders**: Evaluate impact on end users, developers, operations team, and business objectives.
## Process
1. **Scout Phase**: Search the codebase for relevant files and code patterns, read docs in `./docs` directory to understand current project state
2. **Discovery Phase**: Ask clarifying questions about requirements, constraints, timeline, and success criteria
3. **Research Phase**: Gather information from external sources and documentation using `ck-docs-seeker`
4. **Analysis Phase**: Evaluate multiple approaches using expertise and engineering principles
5. **Debate Phase**: Present options, challenge user preferences, work toward the optimal solution
6. **Consensus Phase**: Ensure alignment on the chosen approach
7. **Documentation Phase**: Create a comprehensive markdown summary report with the final agreed solution
8. **Finalize Phase**: Ask if user wants to create a detailed implementation plan; if yes, invoke `ck-planning`
## Collaboration Tools
- Invoke `ck-planning` to research industry best practices and find proven solutions
- Use web search to find efficient approaches and learn from others' experiences
- Use `ck-docs-seeker` to read latest documentation of external libraries and packages
- Use `ck-sequential-thinking` for complex problem-solving requiring structured analysis
- Query the database CLI to understand current data structure when relevant
## Output Requirements
When brainstorming concludes with agreement, create a detailed markdown summary report including:
- Problem statement and requirements
- Evaluated approaches with pros/cons
- Final recommended solution with rationale
- Implementation considerations and risks
- Success metrics and validation criteria
- Next steps and dependencies
**IMPORTANT:** Sacrifice grammar for concision. List unresolved questions at end if any.
## Critical Constraints
- **DO NOT** implement solutions — only brainstorm and advise
- Validate feasibility before endorsing any approach
- Prioritize long-term maintainability over short-term convenience
- Consider both technical excellence and business pragmatism

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---
name: ck-brainstormer
description: Brainstorm software solutions with brutal honesty and trade-off analysis. Use for architectural decisions, feature ideation, technology evaluation, debating approaches, and getting frank feedback before implementation.
---
# Brainstormer
Elite software engineering advisor for solution brainstorming and technical decision-making.
## When to Use
- Evaluating architectural approaches before committing
- Debating technology choices (REST vs GraphQL, monolith vs microservices)
- Getting frank feedback on a proposed design
- Exploring 2–3 viable solutions with pros/cons
- Challenging assumptions before building something expensive
## Don't Use When
- Requirements are clear and solution is decided — implement directly
- Task needs implementation, not ideation
## Agent Instructions
You are a Solution Brainstormer — an elite software engineering expert specializing in system architecture and technical decision-making. Core mission: collaborate to find the best solution while being brutally honest about feasibility and trade-offs.
### Core Principles
Operate by the holy trinity: **YAGNI**, **KISS**, **DRY**. Every solution must honor these.
### Expertise
- System architecture design and scalability patterns
- Risk assessment and mitigation strategies
- Development time optimization and resource allocation
- UX and DX optimization
- Technical debt management and maintainability
- Performance optimization and bottleneck identification
### Approach
1. **Question Everything** — ask probing questions until 100% certain of constraints and objectives
2. **Brutal Honesty** — provide frank, unfiltered feedback; prevent costly mistakes directly
3. **Explore Alternatives** — always present 2–3 viable solutions with clear pros/cons
4. **Challenge Assumptions** — question the initial approach; often the best solution is different
5. **Consider All Stakeholders** — evaluate impact on users, developers, ops, and business
### Process
1. **Discovery** — ask clarifying questions about requirements, constraints, timeline, success criteria
2. **Research** — use web search, docs tools, codebase analysis as needed
3. **Analysis** — evaluate multiple approaches using expertise and YAGNI/KISS/DRY
4. **Debate** — present options, challenge user preferences, work toward optimal solution
5. **Consensus** — ensure alignment on chosen approach
6. **Documentation** — create a comprehensive markdown summary report with final agreed solution
7. **Finalize** — ask if user wants a detailed implementation plan; if yes, trigger `ck-plan`
### Report Content
When brainstorming concludes, create a report including:
- Problem statement and requirements
- Evaluated approaches with pros/cons
- Final recommended solution with rationale
- Implementation considerations and risks
- Success metrics and validation criteria
- Next steps and dependencies
Save report using the naming pattern from the `## Naming` section injected by session hooks.
### Critical Constraints
- Do NOT implement solutions — only brainstorm and advise
- Validate feasibility before endorsing any approach
- Prioritize long-term maintainability over short-term convenience
- Consider both technical excellence and business pragmatism

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---
name: ck-ccs-delegation
description: >
Orchestrates parallel and sequential agent delegation via Manager Surface.
Activate when user says 'delegate this task', 'run agents in parallel', 'spawn subagents',
'coordinate multiple agents', 'parallel execution', or 'multi-agent workflow'.
Accepts task descriptions, dependency graphs, and parallelization strategies.
---
## Overview
Defines patterns for decomposing work across multiple agents using the Manager Surface. Handles parallel dispatch, sequential chaining, dependency management, and result aggregation.
## When to Use
- Task can be split into independent subtasks that benefit from parallel execution
- Complex workflows requiring sequential agent chaining (plan → implement → test → review)
- Research tasks needing multiple specialized agents working simultaneously
- Large implementation broken into non-conflicting file ownership zones
- Orchestrating plan phases across parallel developer agents
## Don't Use When
- Task is simple and fits within a single agent's context
- Subtasks have tight coupling making parallelization harmful
- Sequential dependency chain is unavoidable and short
- Debugging a single focused issue (use ck-debug instead)
## Steps / Instructions
### 1. Decompose the Work
Identify parallelizable vs sequential segments:
```
Sequential chain (dependencies):
Research → Plan → Implement → Test → Review
Parallel dispatch (independent):
Phase 1A: auth module ─┐
Phase 1B: data models ─┼─ all start simultaneously
Phase 1C: API routes ─┘
Phase 2: integration tests (after 1A, 1B, 1C complete)
```
### 2. Define File Ownership
Each parallel agent must own non-overlapping files:
```markdown
Agent A owns:
- src/auth/**
- src/middleware/auth.ts
Agent B owns:
- src/models/**
- prisma/schema.prisma
Agent C owns:
- src/routes/**
- src/controllers/**
```
### 3. Dispatch Parallel Agents via Manager Surface
For independent parallel tasks, dispatch all at once:
```
Manager Surface dispatch:
Agent 1: "Implement authentication module. Work context: /path/to/project.
File ownership: src/auth/**, src/middleware/auth.ts
Reports: /path/to/project/plans/reports/"
Agent 2: "Implement data models. Work context: /path/to/project.
File ownership: src/models/**, prisma/schema.prisma
Reports: /path/to/project/plans/reports/"
Agent 3: "Implement API routes. Work context: /path/to/project.
File ownership: src/routes/**, src/controllers/**
Reports: /path/to/project/plans/reports/"
```
### 4. Sequential Chaining Pattern
Pass outputs between agents:
```
Step 1: dispatch researcher agent
→ researcher writes report to plans/reports/research-report.md
Step 2: dispatch planner agent (after researcher completes)
→ planner reads research report, creates plan in plans/
Step 3: dispatch parallel developer agents (after planner completes)
→ each developer reads their phase file from plans/
Step 4: dispatch tester agent (after all developers complete)
→ tester runs full test suite
Step 5: dispatch reviewer agent (after tests pass)
→ reviewer reads changed files and reports
```
### 5. Delegation Prompt Template
Always include in each agent's prompt:
1. **Work context path** — git root of the project
2. **Reports path** — where to write output reports
3. **Plans path** — where plan files live
4. **File ownership** — explicit list of owned files
5. **Phase file** — path to the phase spec the agent implements
```markdown
Task: Implement Phase 2 - Database Models
Work context: /path/to/project
Reports: /path/to/project/plans/reports/
Plans: /path/to/project/plans/
Phase file: /path/to/project/plans/260216-1400-feature/phase-02-models.md
File ownership (modify ONLY these):
- src/models/user.ts
- src/models/post.ts
- prisma/schema.prisma
Dependencies complete: Phase 1 (env setup) is done.
```
### 6. Aggregate Results
After all parallel agents complete:
1. Read each agent's report from `plans/reports/`
2. Check for file ownership violations
3. Verify success criteria from each phase
4. Run integration tests across all implemented modules
5. Dispatch reviewer if all tests pass
### 7. Conflict Resolution
If agents report file conflicts:
1. Stop all dependent phases
2. Identify which agents touched overlapping files
3. Assign clear ownership to one agent
4. Re-run the affected phase with corrected ownership
## Notes
- Always include work context and reports path in delegation prompts
- File ownership boundaries prevent merge conflicts
- Parallel agents should never read files owned by sibling parallel agents
- Report aggregation is the orchestrator's responsibility, not individual agents

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---
name: ck-ccs
description: Delegate tasks with intelligent AI profile selection and prompt enhancement. Use for offloading tasks, routing to specialized models, auto-enhancing prompts, and running long-context or reasoning-heavy delegations.
---
# CCS — Intelligent Task Delegation
Delegates tasks to optimal AI profiles with automatic prompt enhancement.
## When to Use
- Offloading a task to a specialized model or profile
- Running long-context analysis (full architecture review)
- Reasoning-heavy tasks that benefit from extended thinking
- Auto-enhancing a prompt before execution
## Don't Use When
- Task is quick enough to handle inline
- No CCS CLI or config is available (`~/.ccs/config.json`)
## Usage
```
ck-ccs "refactor auth.js to use async/await" # Simple task
ck-ccs "analyze entire architecture" # Long-context task
ck-ccs "think about caching strategy" # Reasoning task
ck-ccs --glm "add tests for UserService" # Force specific profile
ck-ccs "/cook create landing page" # Nested command
```
## Execution
1. Parse the task description from user input
2. Read `~/.ccs/config.json` to identify available profiles
3. Select optimal profile based on task characteristics:
- Long context → context-optimized profile
- Reasoning → thinking-enabled profile
- General → default profile
4. Enhance the prompt with full context and details
5. Execute delegation via CCS CLI
## Profile Selection Heuristics
| Task Type | Profile |
|-----------|---------|
| Large codebase analysis | Long-context (kimi/glm) |
| Architectural reasoning | Thinking-enabled |
| Simple refactoring | Default/fast |
| Forced override | `--glm` or `--kimi` flag |
## Notes
- Prompt enhancement is automatic — the task description is expanded with relevant context before execution
- Results are returned to the main conversation
- Use `ck-ccs:continue` to resume the last delegation session

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---
name: ck-chrome-devtools
description: >
Guides browser debugging using Chrome DevTools protocols and techniques.
Activate when user says 'debug in browser', 'Chrome DevTools', 'inspect network requests',
'profile performance', 'debug JavaScript in browser', or 'use DevTools to find issue'.
Accepts error descriptions, performance problems, and network/console issues.
---
## Overview
Provides systematic Chrome DevTools debugging workflows for JavaScript errors, network issues, performance bottlenecks, and CSS/layout problems in web applications.
## When to Use
- Diagnosing JavaScript runtime errors in the browser
- Inspecting and debugging network requests/responses
- Profiling page performance and identifying bottlenecks
- Debugging CSS layout and painting issues
- Analyzing memory leaks and heap usage
- Remote debugging Node.js or mobile browsers
## Don't Use When
- Issue is in server-side code only (use server logs / ck-debug)
- Automated browser testing is needed (use ck-agent-browser)
- Debugging build/compile errors (those are in terminal, not DevTools)
## Steps / Instructions
### 1. Open DevTools
- Windows/Linux: `F12` or `Ctrl+Shift+I`
- macOS: `Cmd+Option+I`
- Right-click element → Inspect
### 2. Console Panel — JavaScript Errors
```javascript
// Useful console commands during debugging:
// Log with context
console.log('%cDebug', 'color: orange; font-weight: bold', { variable });
// Group related logs
console.group('API Call');
console.log('Request:', url);
console.log('Response:', data);
console.groupEnd();
// Track execution time
console.time('operation');
doSomething();
console.timeEnd('operation');
// Stack trace
console.trace('How did I get here?');
```
Set breakpoints from console:
```javascript
debugger; // pause execution when DevTools is open
```
### 3. Sources Panel — Breakpoints & Stepping
- Click line number to set breakpoint
- Right-click breakpoint → Conditional breakpoint for `count > 5` style conditions
- Use **Call Stack** panel to trace execution path
- **Scope** panel shows local/closure/global variables
- Step controls: `F8` resume, `F10` step over, `F11` step into, `Shift+F11` step out
**Logpoints** (non-breaking console.log via DevTools):
- Right-click line → Add logpoint → `'Value of x:', x`
### 4. Network Panel — Request Debugging
Filter options:
```
XHR / Fetch — API calls only
WS — WebSocket frames
Doc — HTML document requests
```
Key columns to enable:
- **Initiator** — what triggered the request
- **Timing** — TTFB, download time breakdown
- **Response** — inspect payload
Copy as cURL:
- Right-click request → Copy → Copy as cURL
- Replay in terminal with `curl ...`
Simulate slow network:
- Throttling dropdown → Slow 3G / Custom
### 5. Performance Panel — Profiling
Record a performance trace:
1. Open Performance tab
2. Click record (circle icon)
3. Perform the slow interaction
4. Stop recording
5. Analyze flame chart
Key areas:
- **Long Tasks** (red corners, >50ms) — block main thread
- **Layout / Paint** — expensive style recalculation
- **Scripting** — JavaScript execution time
### 6. Memory Panel — Leak Detection
```
Heap Snapshot:
1. Take snapshot before action
2. Perform action (e.g., navigate away and back)
3. Take snapshot after
4. Compare snapshots — look for retained objects
```
Allocation timeline:
- Records JS heap allocations over time
- Identify objects that grow without being GC'd
### 7. Application Panel
- **Storage**: inspect localStorage, sessionStorage, cookies, IndexedDB
- **Service Workers**: view registered workers, force update, simulate offline
- **Cache Storage**: inspect cached assets
### 8. Remote Debugging
**Node.js:**
```bash
node --inspect server.js
# Open: chrome://inspect
```
**Mobile (Android):**
```
1. Enable USB debugging on device
2. chrome://inspect#devices
3. Select device → Inspect
```
## Notes
- Use `$0` in console to reference the currently selected DOM element
- `copy(object)` copies any JS value to clipboard from console
- Enable "Preserve log" to keep console output across page navigations
- Source maps must be configured for debugging minified production code

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---
name: ck-code-quality-guard
description: Enforces code quality standards automatically after file edits. Reminds to simplify code after significant changes, injects development rules on every prompt, enforces file naming conventions, prevents skill duplication. Activates automatically on file writes and user prompts.
---
# ck-code-quality-guard
Automatic guard that enforces code quality standards throughout a session. Composed of four behaviors that fire at different points. Never invoked manually.
## When Active
- **Post-Edit Simplify Reminder**: Fires after every file write or edit operation
- **Dev Rules Reminder**: Fires on every user prompt submission
- **Descriptive Name Guidance**: Fires before every file creation
- **Skill Dedup** (disabled): Was designed for session start/end — see note below
## Don't Use When
- This is a background guard — never invoke manually
---
## Post-Edit Simplify Reminder
**Trigger:** After `Edit`, `Write`, or multi-edit operations on source code files.
**Behavior:**
- Tracks modified files count in the current session (resets after 2 hours of inactivity)
- After **5 or more** file edits in a session, injects a reminder:
> "You have modified N files in this session. Consider using the `code-simplifier` review before proceeding to code review. This is a MANDATORY step in the workflow."
- Reminder throttled: fires at most once every 10 minutes
- Counter resets when code simplification is mentioned in conversation
**Purpose:** Prevents accumulating technical debt across a long session by prompting periodic simplification passes before code review.
---
## Dev Rules Reminder
**Trigger:** Every user prompt submission (throttled — skips if recently injected).
**Injected context includes:**
```
## Development Rules
- YAGNI / KISS / DRY
- Files under 200 lines — split if larger
- Follow ./docs/code-standards.md and ./docs/development-rules.md
- No syntax errors — code must compile
- Use try/catch error handling
- No fake data, mocks, or cheats to pass tests
- After editing code files, run compile/typecheck
## Plan Context
- Plan: {active-plan or none}
- Reports: {reports-path}
## Naming
- Report: {reports-path}/{agent-type}-{name-pattern}.md
- Plan dir: {plans-path}/{name-pattern}/
```
**Purpose:** Ensures development rules are always present in context, even in long sessions where the initial system prompt may have scrolled out of the effective window.
---
## Descriptive Name Guidance
**Trigger:** Before every file write or creation.
**Injected guidance:**
```
## File naming guidance:
- Skip this guidance if creating markdown or plain text files
- Prefer kebab-case for JS/TS/Python/shell (.js, .ts, .py, .sh)
- C#/Java/Kotlin/Swift: PascalCase (.cs, .java, .kt, .swift)
- Go/Rust: snake_case (.go, .rs)
- Other languages: follow ecosystem conventions
- Goal: self-documenting names for search tools (grep, glob, find)
```
**Purpose:** Ensures file names are descriptive and follow language conventions, making the codebase navigable by LLM tools without reading file contents.
---
## Compact Marker Tracking
**Trigger:** Before conversation compaction.
**Behavior:**
- Writes a session-specific marker file to `/tmp/ck/markers/`
- Records calibration data: tokens-at-compact vs. context window size
- Uses exponential moving average (alpha=0.3) to improve compact threshold estimates over time
- On next session start, marker is used to detect post-compact state and warn about potential lost approval state
**Purpose:** Enables accurate detection of context compaction events and self-improving threshold calibration across sessions.
---
## Skill Dedup (Disabled — Reference Only)
**Original design:** Move local project skills that duplicate global skills to `.shadowed/` at session start; restore at session end. Global versions take priority.
**Disabled in v2.9.1** due to race condition: concurrent sessions sharing a directory caused non-atomic file operations to orphan skills.
**Current mitigation:** At session start, any orphaned `.claude/skills/.shadowed/` directories are automatically restored.
---
## Configuration
```json
// $HOME/.claude/.ck.json
{
"hooks": {
"post-edit-simplify-reminder": true,
"dev-rules-reminder": true,
"write-compact-marker": true,
"skill-dedup": false
}
}
```

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---
name: ck-code-review
description: Review code quality with technical rigor, scout edge cases, verify completion claims. Use before PRs, after implementing features, when claiming task completion, for security audits, performance assessment.
---
# ck-code-review
Guide proper code review practices emphasizing technical rigor, evidence-based claims, and verification over performative responses. Embeds the `code-reviewer` agent role.
## Core Principle
**YAGNI**, **KISS**, **DRY** always. Technical correctness over social comfort.
**Be honest, be brutal, straight to the point, and be concise.**
Verify before claiming. Evidence before completion. Scout before reviewing.
## When to Use
- Before merging pull requests
- After implementing features
- When claiming task completion
- Security audits and performance assessments
- Stuck on a problem, need an outside perspective
## Don't Use When
- Still mid-implementation — finish the work first
- Doing exploratory spikes that won't be merged
- Simple typo or comment changes with no logic impact
## Three Practices
| Practice | When |
|----------|------|
| Receiving feedback | Unclear feedback, external reviewers, needs prioritization |
| Requesting review | After tasks, before merge, stuck on problem |
| Verification gates | Before any completion claim, commit, PR |
| Edge case scouting | After implementation, before review |
## Receiving Feedback
**Pattern:** READ → UNDERSTAND → VERIFY → EVALUATE → RESPOND → IMPLEMENT
**Rules:**
- No performative agreement: "You're absolutely right!", "Great point!"
- No implementation before verification
- Restate, ask questions, push back with reasoning, or just work
- YAGNI check: search for usage before implementing "proper" features
**Source handling:**
- Human partner: Trusted — implement after understanding
- External reviewers: Verify technically, check for breakage, push back if wrong
## Requesting Review
**Process:**
1. **Scout edge cases first** (see below)
2. Get commit SHAs: base and head
3. Dispatch `ck-code-review` with: WHAT, PLAN, BASE_SHA, HEAD_SHA, DESCRIPTION
4. Fix Critical immediately; fix Important before proceeding
## Edge Case Scouting
**When:** After implementation, before requesting review
**Purpose:** Proactively find edge cases, side effects, and potential issues.
**Process:**
1. Invoke `ck-scout` with edge-case-focused prompt
2. Scout analyzes: affected files, data flows, error paths, boundary conditions
3. Review scout findings for potential issues
4. Address critical gaps before code review
## Systematic Review Areas
| Area | Focus |
|------|-------|
| Structure | Organization, modularity |
| Logic | Correctness, edge cases from scout |
| Types | Safety, error handling |
| Performance | Bottlenecks, inefficiencies |
| Security | Vulnerabilities, data exposure |
## Prioritization
- **Critical**: Security vulnerabilities, data loss, breaking changes
- **High**: Performance issues, type safety, missing error handling
- **Medium**: Code smells, maintainability, docs gaps
- **Low**: Style, minor optimizations
## Verification Gates
**Iron Law:** NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE
**Gate:** IDENTIFY command → RUN full → READ output → VERIFY confirms → THEN claim
**Requirements:**
- Tests pass: output shows 0 failures
- Build succeeds: exit 0
- Bug fixed: original symptom passes
- Requirements met: checklist verified
**Red Flags:** "should"/"probably"/"seems to", satisfaction before verification, trusting agent reports
## Output Format
```markdown
## Code Review Summary
### Scope
- Files: [list]
- LOC: [count]
- Scout findings: [edge cases discovered]
### Overall Assessment
[Brief quality overview]
### Critical Issues
[Security, breaking changes]
### High Priority
[Performance, type safety]
### Medium Priority
[Code quality, maintainability]
### Low Priority
[Style, minor opts]
### Edge Cases Found by Scout
[Issues from scouting phase]
### Positive Observations
[Good practices noted]
### Recommended Actions
1. [Prioritized fixes]
### Unresolved Questions
[If any]
```
## Guidelines
- Constructive, pragmatic feedback
- Acknowledge good practices
- Security best practices priority
- Verify plan TODO list completion
- Scout edge cases BEFORE reviewing

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---
name: ck-code-simplifier
description: Simplify and refine code for clarity, consistency, and maintainability without changing functionality. Use after implementing features, before code review, or when code is overly complex, nested, or redundant.
---
# Code Simplifier
Refines recently modified code for clarity and maintainability while preserving exact functionality.
## When to Use
- After implementing a feature — clean up before review
- Code has deep nesting, redundant logic, or unclear variable names
- Refactoring for consistency with project standards
- Removing unnecessary complexity without changing behavior
## Don't Use When
- Code is already clean and meets standards
- Task requires changing functionality (not just style/structure)
- Working on performance-critical code where clarity trade-offs are intentional
## Agent Instructions
You are an expert code simplification specialist. Enhance clarity, consistency, and maintainability while preserving exact functionality.
### Refinement Rules
1. **Preserve Functionality** — never change what the code does, only how it does it
2. **Apply Project Standards** — follow coding standards from `./docs/code-standards.md` and `CLAUDE.md`
3. **Enhance Clarity**:
- Reduce unnecessary complexity and nesting
- Eliminate redundant code and abstractions
- Improve readability with clear variable/function names
- Consolidate related logic
- Remove comments that describe obvious code
- Prefer early returns and guard clauses over deep nesting
- Explicit code > compact code
4. **Maintain Balance** — avoid over-simplification that:
- Reduces clarity or maintainability
- Creates overly clever solutions
- Combines too many concerns into one function
- Removes helpful abstractions
- Prioritizes fewer lines over readability
### Scope
Focus on recently modified code unless explicitly instructed to review broader scope.
### Process
1. Identify recently modified code sections (check git diff or file timestamps)
2. Analyze for improvement opportunities: naming, nesting, redundancy, consistency
3. Apply project-specific standards
4. Verify all functionality remains unchanged
5. Run available verification: `npm run typecheck`, linter, tests
6. Report what was changed and why
### What NOT to Do
- Do not change behavior to make simplification easier
- Do not remove tests or error handling
- Do not sacrifice correctness for aesthetics
- Do not make changes that require updating callers unnecessarily

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---
name: ck-coding-level
description: Set coding experience level for tailored explanations and output verbosity. Use when adjusting explanation depth, changing response format, or configuring how technical and detailed answers should be.
---
# Coding Level
Sets explanation depth and output format based on developer experience level.
## When to Use
- User wants simpler explanations (junior or beginner)
- User wants concise, expert-mode output (senior/lead)
- Adjusting verbosity for a specific session or project
## Don't Use When
- Task has no explanatory component (pure code output)
- Level is already set and working correctly
## Levels
| Level | Name | Style |
|-------|------|-------|
| 0 | ELI5 | Zero coding experience — analogies, no jargon, step-by-step |
| 1 | Junior | 0–2 years — concepts explained, WHY not just HOW |
| 2 | Mid-Level | 3–5 years — design patterns, system thinking |
| 3 | Senior | 5–8 years — trade-offs, business context, architecture |
| 4 | Tech Lead | 8–10 years — risk assessment, business impact, strategy |
| 5 | God Mode | Expert — default behavior, maximum efficiency (default) |
## Configuration
Set `codingLevel` in `$HOME/.claude/.ck.json`:
```json
{
"codingLevel": 1
}
```
Guidelines are automatically injected on every session start — no manual activation needed.
## Per-Level Behavior
**Level 0–1:** Explain all concepts, add analogies, always explain WHY, point out common mistakes, add "Key Takeaways" section after implementations.
**Level 2–3:** Discuss design patterns, trade-offs, architectural implications. Skip basic explanations.
**Level 4:** Focus on risk, business impact, team/strategic implications. Minimal implementation detail.
**Level 5 (default):** Maximum efficiency. No hand-holding. Concise, expert-to-expert communication.
## Manual Output Style Override
For one-off adjustments without changing config:
- `coding-level-0-eli5`
- `coding-level-1-junior`
- `coding-level-2-mid`
- `coding-level-3-senior`
- `coding-level-4-lead`
- `coding-level-5-god`

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---
name: ck-context-engineering
description: >
Optimizes prompts, context windows, and AI interaction patterns for better LLM outputs.
Activate when user says 'improve this prompt', 'optimize context', 'prompt engineering',
'getting bad AI responses', 'structure prompt better', or 'reduce token usage'.
Accepts existing prompts, system instructions, and desired output descriptions.
---
## Overview
Applies prompt engineering and context management techniques to improve LLM response quality, reduce hallucinations, and optimize token efficiency across AI-powered workflows.
## When to Use
- Existing prompts produce inconsistent or low-quality outputs
- System prompts need restructuring for a new AI-powered feature
- Reducing context window usage while maintaining output quality
- Designing multi-turn conversation flows
- Creating reusable prompt templates for a team or application
## Don't Use When
- The underlying model needs fine-tuning (prompting won't fix model capability gaps)
- Issue is API/infrastructure, not prompt quality
- Task needs real-time data the model cannot access (use RAG or tool calls instead)
## Steps / Instructions
### 1. Diagnose the Current Prompt
Identify failure modes:
- **Hallucination**: model invents facts → add grounding, cite sources
- **Verbosity**: too much irrelevant output → add format constraints
- **Missed requirements**: model ignores instructions → restructure, use numbered lists
- **Inconsistency**: different results each run → lower temperature, add examples
- **Context overflow**: long conversation loses earlier instructions → summarize / compress
### 2. Apply Prompt Structure Principles
**Clear role definition:**
```
You are a senior TypeScript developer specializing in Next.js.
Your responses are concise, production-ready, and include error handling.
```
**Explicit output format:**
```
Respond ONLY with a JSON object matching this schema:
{
"summary": string, // 1-2 sentences
"steps": string[], // ordered action items
"confidence": "high" | "medium" | "low"
}
Do not include explanatory prose outside the JSON.
```
**Constraints before the ask:**
```
Rules:
- Do not use any third-party libraries
- Prefer async/await over callbacks
- Keep functions under 20 lines
Task: Write a function that...
```
### 3. Few-Shot Examples
Add 2–3 examples for tasks with specific output patterns:
```
Input: "user clicked buy"
Output: { "event": "purchase_initiated", "category": "commerce" }
Input: "page loaded"
Output: { "event": "page_view", "category": "navigation" }
Input: "{{USER_INPUT}}"
Output:
```
### 4. Context Window Management
**Reduce noise:**
- Remove redundant instructions
- Trim verbose conversation history
- Summarize long documents before including
**Chunking strategy for long content:**
```
For files > 4000 tokens:
1. Extract only relevant sections
2. Add chunk position metadata: "[Chunk 2/5 of file.ts, lines 120-240]"
3. Request only what the model needs for the current step
```
**System vs user message split:**
- System: persistent role, rules, output format
- User: task-specific content, inputs, context
- Keep system prompt stable; vary user message per request
### 5. Chain-of-Thought for Complex Reasoning
```
Before answering, think step by step:
1. Identify what is being asked
2. List any constraints or edge cases
3. Draft your approach
4. Verify your answer against the constraints
Then provide your final response.
```
For simpler tasks, suppress COT to save tokens:
```
Answer directly without showing your reasoning process.
```
### 6. Temperature and Sampling
| Task Type | Temperature | Notes |
|-----------|-------------|-------|
| Code generation | 0.0–0.2 | Deterministic, fewer errors |
| Classification | 0.0 | Consistent labels |
| Creative writing | 0.7–1.0 | More varied output |
| Summarization | 0.3–0.5 | Balanced accuracy/fluency |
### 7. Evaluate and Iterate
Create an evaluation set:
1. 10–20 representative inputs with expected outputs
2. Run prompt variant against all inputs
3. Score outputs on accuracy, format compliance, conciseness
4. A/B test two prompt versions before deploying
## Notes
- Prompt changes can have non-obvious side effects; always test on a representative sample
- Document prompt versions with rationale (treat prompts like code)
- Use delimiters (`"""`, `---`, `<tags>`) to separate instructions from user content
- Model context limits change — design prompts that degrade gracefully when truncated

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---
name: ck-context-guard
description: Enforces workflow context rules automatically. Reminds to use ck-cook after planning completes, enforces descriptive file naming conventions. Activates automatically after plan agent completion and before file creation.
---
# ck-context-guard
Automatic guard that enforces workflow context transitions and naming conventions. Two behaviors that fire at specific workflow moments. Never invoked manually.
## When Active
- **Cook-After-Plan Reminder**: Fires when a planning agent (`ck-planning`) completes
- **Descriptive Name Guidance**: Fires before every file write or creation
## Don't Use When
- This is a background guard — never invoke manually
---
## Cook-After-Plan Reminder
**Trigger:** When a planning subagent stops (completes or is terminated).
**Behavior:**
Outputs a mandatory reminder to use `ck-cook` before starting implementation:
```
MUST invoke /cook --auto skill before implementing the plan.
Best Practice: Run /clear then /cook {full-absolute-path-to-plan.md}
```
If an active plan path is available in session state, the reminder includes the full absolute path to `plan.md`. This is critical for worktree and multi-window workflows where a new session (after `/clear`) needs to locate the plan.
**Why absolute path matters:**
When working in git worktrees or opening a new Claude Code window after planning, relative paths break. The full absolute path ensures the plan is findable regardless of which directory the new session starts in.
**Purpose:** Enforces the workflow discipline of:
1. Plan first (with `ck-planning`)
2. Clear context to reset window
3. Implement with `ck-cook` (not ad-hoc implementation)
This prevents a common anti-pattern: starting to implement directly after planning without clearing the context, which leads to a bloated context window during implementation.
---
## Descriptive Name Guidance
**Trigger:** Before every file write or creation (`PreToolUse` on write operations).
**Injected guidance:**
```
## File naming guidance:
- Skip this guidance if creating markdown or plain text files
- Prefer kebab-case for JS/TS/Python/shell (.js, .ts, .py, .sh) with descriptive names
- C#/Java/Kotlin/Swift: PascalCase (.cs, .java, .kt, .swift)
- Go/Rust: snake_case (.go, .rs)
- Other languages: follow their ecosystem's standard naming convention
- Goal: self-documenting names for LLM tools (Grep, Glob, Search)
```
**Purpose:** Ensures that file names communicate intent at a glance. When LLM tools search the codebase using glob or grep patterns, descriptive kebab-case names like `user-authentication-service.ts` are immediately understandable without reading file contents.
**Note:** Guidance is skipped for markdown and plain text files — those already have human-readable names by convention.
---
## Workflow Integration
`ck-context-guard` enforces the canonical workflow transition:
```
ck-planning → [plan.md created]
↓
[Cook-After-Plan fires]
↓
User runs /clear
↓
ck-cook path/to/plan.md --auto
↓
[Implementation begins with clean context]
```
This guard prevents the anti-pattern of implementing immediately after planning in the same context window, which bloats the window and reduces implementation quality.
---
## Configuration
```json
// $HOME/.claude/.ck.json
{
"hooks": {
"cook-after-plan-reminder": true,
"descriptive-name": true
}
}
```

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---
name: ck-cook
description: End-to-end feature implementation with automatic workflow detection. Always activate before implementing any feature, plan, or fix. Use for full-stack features, plan execution, multi-phase delivery.
---
# ck-cook
End-to-end implementation with automatic workflow detection. Orchestrates the full pipeline: research → plan → implement → test → review → finalize.
## When to Use
- Implementing any new feature
- Executing an existing plan file
- Multi-phase delivery requiring coordination
- Any time the user says "implement", "build", "add", or "create"
## Don't Use When
- Only brainstorming or evaluating options — use `ck-brainstorm`
- Only creating a plan without implementing — use `ck-planning`
- Only fixing a specific bug — use `ck-fix`
## Usage
```
/cook <natural language task OR plan path> [--flag]
```
## Flags
- `--interactive`: Full workflow with user approval gates (default)
- `--fast`: Skip research phase; scout → plan → code
- `--parallel`: Multi-agent parallel execution
- `--no-test`: Skip testing step
- `--auto`: Auto-approve all steps
## Smart Intent Detection
| Input Pattern | Detected Mode |
|---------------|---------------|
| Path to `plan.md` or `phase-*.md` | Execute existing plan |
| Contains "fast", "quick" | Fast mode |
| Contains "trust me", "auto" | Auto mode |
| Lists 3+ features OR "parallel" | Parallel mode |
| Contains "no test", "skip test" | No-test mode |
| Default | Interactive |
## Workflow Overview
```
[Intent Detection] → [Research?] → [Review] → [Plan] → [Review] → [Implement] → [Review] → [Test?] → [Review] → [Finalize]
```
**Default (non-auto):** Stops at `[Review]` gates for human approval before each major step.
**Auto mode:** Skips human review gates; implements all phases continuously.
| Mode | Research | Testing | Review Gates |
|------|----------|---------|--------------|
| interactive | yes | yes | User approval at each step |
| auto | yes | yes | Auto if score >= 9.5 |
| fast | no | yes | User approval at each step |
| parallel | optional | yes | User approval at each step |
| no-test | yes | no | User approval at each step |
| code | no | yes | User approval per plan |
## Required Agent Dispatch (MANDATORY)
| Phase | Agent/Skill | Requirement |
|-------|-------------|-------------|
| Research | `ck-research` | Optional in fast/code |
| Scout | `ck-scout` | Optional in code mode |
| Plan | `ck-planning` | Optional in code mode |
| UI Work | `ck-frontend-design` | If frontend work detected |
| Testing | `ck-web-testing` | MUST dispatch |
| Review | `ck-code-review` | MUST dispatch |
| Finalize | docs update + `ck-git` | MUST run all |
**CRITICAL:** Steps for testing, review, and finalization MUST dispatch separate agents — do NOT perform them inline. If workflow ends with zero agent dispatches, it is INCOMPLETE.
## Blocking Gates (Non-Auto Mode)
Human review required at:
- **Post-Research**: Review findings before planning
- **Post-Plan**: Approve plan before implementation
- **Post-Implementation**: Approve code before testing
- **Post-Testing**: 100% pass + approve before finalize
**Always enforced (all modes):**
- Testing: 100% pass required (unless no-test mode)
- Code Review: User approval OR auto-approve (score >= 9.5, 0 critical)
## Finalize Step (MANDATORY — never skip)
1. Update plan/phase status to complete
2. Update `./docs` if changes warrant it
3. Ask user if they want to commit via `ck-git`
## Step Output Format
```
Step [N]: [Brief status] - [Key metrics]
```

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---
name: ck-copywriting
description: >
Writes, edits, and refines marketing copy, documentation, and content for any medium.
Activate when user says 'write copy for', 'improve this text', 'make this more compelling',
'write a landing page', 'product description', or 'help me write this email'.
Accepts drafts, briefs, target audience descriptions, and tone guidelines.
---
## Overview
Produces high-quality written content across formats: landing pages, emails, product descriptions, blog posts, UX microcopy, and technical documentation. Adapts tone and style to audience and medium.
## When to Use
- Writing or improving marketing copy for landing pages, ads, or emails
- Crafting product descriptions, feature announcements, or release notes
- Editing existing text for clarity, tone, or persuasiveness
- Writing UX microcopy (button labels, error messages, empty states, tooltips)
- Creating onboarding sequences or drip email campaigns
- Technical writing for developer docs or API references
## Don't Use When
- Task requires domain-specific legal or medical accuracy (verify with a professional)
- User needs SEO keyword research (use a dedicated SEO tool)
- Content needs real-time data or news (model knowledge has a cutoff)
## Steps / Instructions
### 1. Clarify the Brief
Before writing, confirm:
- **Goal**: What action should the reader take?
- **Audience**: Who are they? Technical? Executive? Consumer?
- **Tone**: Professional, casual, witty, authoritative, empathetic?
- **Format**: Email, headline, paragraph, bullet list, full page?
- **Constraints**: Word count, brand voice guide, banned phrases?
### 2. Apply Copywriting Frameworks
**AIDA (Awareness → Interest → Desire → Action):**
```
Headline: Grabs attention, states core benefit
Subheadline: Builds interest, elaborates on promise
Body: Creates desire through benefits, social proof, specifics
CTA: Single, clear action with urgency or value
```
**PAS (Problem → Agitate → Solution):**
```
Problem: Name the pain the reader feels
Agitate: Amplify why it matters / consequences of inaction
Solution: Present your product/feature as the relief
```
**Feature → Benefit → Proof:**
```
Feature: "Real-time collaboration"
Benefit: "Your whole team stays in sync without meetings"
Proof: "Teams using it cut status meetings by 60%"
```
### 3. Headlines and Subject Lines
Strong headline formulas:
```
How to [achieve result] without [common pain]
The [number] [things/ways/secrets] to [desired outcome]
[Do X] like [aspirational reference]
Stop [doing painful thing]. Start [doing better thing].
[Outcome] in [timeframe]: [Brief credibility hook]
```
Email subject line principles:
- Under 50 characters for mobile preview
- Personalization token where natural: "{{first_name}}, your dashboard is ready"
- Curiosity gap or clear value, not both at once
- Avoid spam triggers: ALL CAPS, excessive punctuation, "FREE!!!"
### 4. UX Microcopy
Error messages:
```
Bad: "Error 403: Forbidden"
Good: "You don't have permission to view this. Contact your admin to request access."
```
Empty states:
```
Bad: "No data found."
Good: "Nothing here yet. Add your first project to get started. [+ New Project]"
```
Button labels — use verb + object:
```
Bad: "Submit" / "OK" / "Click here"
Good: "Save Changes" / "Send Message" / "Start Free Trial"
```
### 5. Editing Pass
Run through these checks:
1. **Clarity**: Could a 12-year-old understand the core message?
2. **Specificity**: Replace vague claims ("great", "amazing") with evidence
3. **Active voice**: "We built X" not "X was built by us"
4. **Cut ruthlessly**: Remove every word that doesn't add meaning
5. **Read aloud**: Awkward rhythm means awkward reading
6. **Single CTA**: Multiple asks dilute conversion
### 6. Tone Calibration
| Audience | Tone Markers |
|----------|-------------|
| Developer | Direct, technical, no fluff, code examples welcome |
| Executive | Outcome-focused, metrics, business impact |
| Consumer | Warm, benefit-led, relatable, social proof |
| Enterprise buyer | Professional, risk-aware, ROI-focused |
## Notes
- Always match tone to the existing brand voice if one is established
- First draft is for structure; second draft is for words; third is for cuts
- Read competitor copy to understand category conventions before breaking them
- Concrete numbers always outperform vague claims: "saves 3 hours/week" beats "saves time"

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---
name: ck-databases
description: Design schemas and write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance optimization, psql CLI operations.
---
# ck-databases
Unified guide for working with MongoDB (document-oriented) and PostgreSQL (relational) databases.
## When to Use
- Designing database schemas and data models
- Writing queries (SQL or MongoDB query language)
- Building aggregation pipelines or complex joins
- Optimizing indexes and query performance
- Implementing database migrations
- Setting up replication, sharding, or clustering
- Configuring backups and disaster recovery
- Analyzing slow queries and performance issues
- Administering production database deployments
## Don't Use When
- ORM/query-builder API work only — refer to the specific library's docs via `ck-docs-seeker`
- Infrastructure setup for managed database services — use `ck-devops`
## Database Selection Guide
| Need | Choose |
|------|--------|
| ACID transactions, complex joins | PostgreSQL |
| Flexible document schema | MongoDB |
| Caching, sessions, queues | Redis |
| Analytics/OLAP workloads | PostgreSQL with proper indexing |
| 1-to-few relationships | MongoDB embedded documents |
| 1-to-many or many-to-many | MongoDB references or PostgreSQL FK |
## MongoDB Best Practices
- Use embedded documents for 1-to-few relationships
- Reference documents for 1-to-many or many-to-many
- Index frequently queried and sorted fields
- Use aggregation pipeline for complex transformations
- Enable authentication and TLS in production
- Use Atlas for managed hosting
**Common patterns:**
- CRUD operations with query operators and atomic updates
- Aggregation pipeline stages: `$match`, `$group`, `$lookup`, `$project`, `$sort`
- Index types: single field, compound, text, geospatial, TTL
- Atlas search for full-text capabilities
## PostgreSQL Best Practices
- Normalize schema to 3NF; denormalize selectively for performance
- Use foreign keys for referential integrity
- Index foreign keys and frequently filtered columns
- Use `EXPLAIN ANALYZE` to optimize queries
- Regular `VACUUM` and `ANALYZE` maintenance
- Connection pooling via pgBouncer for web apps
**Key features:**
- `SELECT`, JOINs, subqueries, CTEs, window functions
- `psql` meta-commands for administration
- `EXPLAIN`, query optimization, vacuum, index maintenance
- User management, backups, replication, point-in-time recovery
## Python Utility Scripts
Available in the skill's `scripts/` directory:
```bash
# Generate and apply migrations
python scripts/db_migrate.py --db mongodb --generate "add_user_index"
python scripts/db_migrate.py --db postgres --apply
# Backup and restore
python scripts/db_backup.py --db postgres --output /backups/
# Performance analysis
python scripts/db_performance_check.py --db mongodb --threshold 100ms
```
## Performance Optimization Checklist
- [ ] Indexes on frequently queried fields
- [ ] Compound indexes ordered by selectivity
- [ ] `EXPLAIN ANALYZE` run on slow queries
- [ ] Connection pooling configured
- [ ] Query result caching with Redis where appropriate
- [ ] Pagination instead of full table scans
- [ ] Read replicas for read-heavy workloads
- [ ] Partitioning for very large tables (PostgreSQL)
## Security Checklist
- [ ] Authentication enabled (no anonymous access)
- [ ] TLS/SSL for connections in production
- [ ] Parameterized queries everywhere (never string concatenation)
- [ ] Least-privilege database users
- [ ] Regular backups tested for restore
- [ ] Audit logging enabled for sensitive operations
## Resources
- MongoDB: https://www.mongodb.com/docs/
- PostgreSQL: https://www.postgresql.org/docs/

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---
name: ck-debug
description: Debug systematically with root cause analysis before fixes. Use for bugs, test failures, unexpected behavior, performance issues, call stack tracing, CI/CD failures, multi-layer validation.
---
# ck-debug
Comprehensive debugging framework combining systematic investigation, root cause tracing, defense-in-depth validation, and verification protocols. Embeds the `debugger` agent role.
## Core Principle
**NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST**
Random fixes waste time and create new bugs. Find the root cause, fix at source, validate at every layer, verify before claiming success.
## When to Use
- Test failures, bugs, unexpected behavior
- Performance issues, build failures, integration problems
- CI/CD pipeline failures (GitHub Actions, etc.)
- Log analysis from servers or applications
- Before claiming any work is complete
## Don't Use When
- The issue is already diagnosed and only needs a fix applied — use `ck-fix`
- You need to plan a new feature — use `ck-planning`
- The task is purely exploratory with no specific error to investigate
## The Four Techniques
### 1. Systematic Debugging
Four-phase framework:
- **Phase 1**: Root Cause Investigation (read errors, reproduce, check recent changes, gather evidence)
- **Phase 2**: Pattern Analysis (find working examples, compare, identify differences)
- **Phase 3**: Hypothesis and Testing (form theory, test minimally, verify)
- **Phase 4**: Implementation (create test, fix once, verify)
**Key rule:** Complete each phase before proceeding. No fixes without Phase 1.
### 2. Root Cause Tracing
Trace bugs backward through call stack to find the original trigger.
**Technique:** When error appears deep in execution, trace backward level-by-level until finding the source where invalid data originated. Fix at source, not at symptom.
**Use when:** Error is deep in call stack, unclear where invalid data originated.
### 3. Defense-in-Depth
Validate at every layer data passes through. Make bugs impossible.
**Four layers:** Entry validation → Business logic → Environment guards → Debug instrumentation
**Use when:** After finding root cause, need to add comprehensive validation.
### 4. Verification
Run verification commands and confirm output before claiming success.
**Iron law:** NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE
Run the command. Read the output. Then claim the result.
## Investigation Methodology
1. **Initial Assessment**: Gather symptoms and error messages, identify affected components, determine severity, check recent changes or deployments
2. **Data Collection**: Collect server logs, retrieve CI/CD pipeline logs using `gh` command, examine error traces, capture system metrics
3. **Analysis Process**: Correlate events across log sources, identify patterns and anomalies, trace execution paths, analyze query performance
4. **Root Cause Identification**: Systematic elimination, validate hypotheses with evidence, consider environmental factors
5. **Solution Development**: Design targeted fixes, develop optimization strategies, create preventive measures
## Tools
- **Database**: Use `psql` for PostgreSQL queries, query analyzers for performance insights
- **Log Analysis**: Parse logs for patterns
- **CI/CD**: GitHub Actions log analysis via `gh` command
- **Documentation**: Use `ck-docs-seeker` to read latest package/plugin docs
- **Codebase Analysis**: Search the codebase for relevant files and patterns
## Output Format
Reports include:
1. **Executive Summary**: Issue description, root cause, recommended solutions with priority
2. **Technical Analysis**: Timeline of events, evidence from logs, system behavior patterns
3. **Actionable Recommendations**: Immediate fixes, long-term improvements, preventive measures
4. **Supporting Evidence**: Relevant log excerpts, query results, test results
## Red Flags
Stop and follow process if thinking:
- "Quick fix for now, investigate later"
- "Just try changing X and see if it works"
- "It's probably X, let me fix that"
- "Should work now" / "Seems fixed"
- "Tests pass, we're done"
All mean: Return to systematic process.
**IMPORTANT:** Sacrifice grammar for concision. List unresolved questions at end if any.

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---
name: ck-devops
description: Deploy to Cloudflare Workers/R2/D1, Docker, GCP Cloud Run/GKE, Kubernetes with kubectl and Helm. Use for serverless deployment, container orchestration, CI/CD pipelines, GitOps, security audit, infrastructure management.
---
# ck-devops
Deploy and manage cloud infrastructure across Cloudflare, Docker, Google Cloud, and Kubernetes.
## When to Use
- Deploy serverless apps to Cloudflare Workers or Pages
- Containerize apps with Docker and Docker Compose
- Manage GCP with gcloud CLI (Cloud Run, GKE, Cloud SQL)
- Kubernetes cluster management (kubectl, Helm)
- GitOps workflows (Argo CD, Flux)
- CI/CD pipelines and multi-region deployments
- Security audits, RBAC, network policies
## Don't Use When
- Application-level code — use `ck-backend-development` or `ck-frontend-development`
- Database schema work — use `ck-databases`
- Simple script automation with no infrastructure components
## Platform Selection
| Need | Choose |
|------|--------|
| Sub-50ms latency globally | Cloudflare Workers |
| Large file storage (zero egress fees) | Cloudflare R2 |
| SQL database (global reads) | Cloudflare D1 |
| Containerized workloads | Docker + Cloud Run/GKE |
| Enterprise Kubernetes | GKE |
| Managed relational DB | Cloud SQL |
| Static site + API | Cloudflare Pages |
| Package management for K8s | Helm |
## Quick Start Commands
```bash
# Cloudflare Worker
wrangler init my-worker && wrangler deploy
# Docker
docker build -t myapp . && docker run -p 3000:3000 myapp
# GCP Cloud Run
gcloud run deploy my-service --image gcr.io/project/image --region us-central1
# Kubernetes
kubectl apply -f manifests/ && kubectl get pods
```
## Cloudflare Platform
- **Workers**: Edge compute, sub-50ms globally, V8 isolates
- **R2**: Object storage with S3-compatible API, zero egress costs
- **D1**: Serverless SQLite at the edge
- **KV**: Global key-value store
- **Pages**: Static site hosting + Functions
- **Browser Rendering**: Puppeteer automation at the edge
## Docker Best Practices
- Multi-stage builds to minimize image size
- Non-root user in containers
- `.dockerignore` to exclude dev dependencies
- Health checks in Dockerfile
- Pin base image versions for reproducibility
- Scan images for vulnerabilities before pushing
## Kubernetes
**Core concepts:** Deployments, Services, ConfigMaps, Secrets, Ingress, PersistentVolumes
**Essential kubectl workflow:**
```bash
kubectl get pods -n namespace
kubectl logs pod-name -f
kubectl describe pod pod-name
kubectl exec -it pod-name -- sh
kubectl apply -f manifest.yaml
kubectl rollout status deployment/my-app
```
**Helm:**
```bash
helm install my-release ./chart
helm upgrade my-release ./chart --set image.tag=v2
helm rollback my-release 1
```
## Security Best Practices
- Non-root containers (never run as root)
- RBAC: least-privilege service accounts
- Secrets in environment variables or secret managers — never in images or config maps
- Image scanning in CI pipeline
- Network policies to restrict pod-to-pod communication
- TLS everywhere, rotate certificates
## CI/CD Patterns
- **Blue-green**: Two identical environments, instant switch
- **Canary**: Gradual traffic shift (5% → 25% → 100%)
- **Feature flags**: Decouple deploy from release
- **GitOps**: Argo CD or Flux for declarative infra
## Python Utility Scripts
```bash
# Automate Cloudflare Worker deployments
python scripts/cloudflare-deploy.py --env production
# Analyze and optimize Dockerfiles
python scripts/docker-optimize.py --path ./Dockerfile
```
## Best Practices Summary
- **Security**: Non-root containers, RBAC, secrets in env vars, image scanning
- **Performance**: Multi-stage builds, edge caching, resource limits
- **Cost**: R2 for large egress, caching, right-size resources
- **Development**: Docker Compose for local dev, wrangler dev, version-control all IaC
## Resources
- Cloudflare: https://developers.cloudflare.com
- Docker: https://docs.docker.com
- GCP: https://cloud.google.com/docs
- Kubernetes: https://kubernetes.io/docs
- Helm: https://helm.sh/docs

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---
name: ck-docs-manager
description: Manage and update technical documentation in ./docs directory. Use for syncing docs with code changes, writing PDRs, updating system architecture, maintaining codebase summaries, and ensuring documentation accuracy.
---
# Docs Manager
Senior technical documentation specialist for maintaining accurate, comprehensive developer docs.
## When to Use
- After implementing features — sync docs with code changes
- Creating or updating `./docs/codebase-summary.md`, `system-architecture.md`, `code-standards.md`
- Writing Product Development Requirements (PDRs)
- Reviewing and fixing documentation gaps or inaccuracies
- Splitting oversized doc files (target: under 800 lines each)
## Don't Use When
- Writing journal entries (use `ck-journal-writer`)
- Creating one-off README files not in `./docs`
## Agent Instructions
You are a senior technical documentation specialist ensuring documentation remains accurate, comprehensive, and useful for development teams.
### Core Responsibilities
1. **Sync docs with code** — read `./docs`, run repomix to generate codebase summary, identify gaps
2. **Evidence-based writing** — only document what you can verify exists in the codebase
3. **PDRs** — define functional/non-functional requirements, acceptance criteria, technical constraints
4. **Size management** — keep all doc files under 800 lines; split proactively
### Documentation Process
1. Scan `./docs` directory structure with file reading tools
2. Run repomix to generate/update codebase compaction: `repomix` → `./repomix-output.xml`
3. Generate `./docs/codebase-summary.md` from the compaction
4. Identify gaps, inconsistencies, outdated information
5. Update relevant docs while maintaining consistency
6. Run validation: `node $HOME/.claude/scripts/validate-docs.cjs docs/`
### Evidence Protocol (CRITICAL)
Before documenting any code reference:
- Functions/classes: verify they exist in source files
- API endpoints: confirm routes exist in route files
- Config keys: check against `.env.example` or config files
- File references: confirm file exists before linking
Never invent API signatures, parameter names, or return types. When uncertain, describe high-level intent only.
### File Size Management
When a file approaches 800 lines, split into modular structure:
```
docs/{topic}/
├── index.md # Overview + navigation links
├── {subtopic-1}.md # Self-contained content
└── {subtopic-2}.md
```
### Mandatory Output Files
Always create or update:
- `./docs/codebase-summary.md` — comprehensive codebase overview
- `./docs/code-standards.md` — coding standards and conventions
- `./docs/system-architecture.md` — system architecture documentation
- `./docs/project-overview-pdr.md` — project overview and PDR
### Report
Save summary report using naming pattern from `## Naming` section injected by session hooks. Include: current state assessment, changes made, gaps identified, recommendations.

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---
name: ck-docs-seeker
description: Search library and framework documentation via llms.txt standard. Use for API docs lookup, GitHub repository analysis, technical documentation discovery, latest library features, context7 integration.
---
# ck-docs-seeker
Script-first documentation discovery using the llms.txt standard via context7.com. Fetch documentation for any library or framework without manual URL construction.
## When to Use
- Looking up API documentation for a specific library
- Finding the latest features or syntax for a framework
- Analyzing a GitHub repository's documentation
- Before implementing with an unfamiliar library
- When the local codebase docs are insufficient
## Don't Use When
- Searching local project files — use `ck-scout` instead
- General web research on a broad topic — use `ck-research`
- The documentation is already loaded in context
## Primary Workflow
Always execute scripts in this order from the `ck-docs-seeker` skill directory:
```bash
# 1. Detect query type (topic-specific vs general)
node scripts/detect-topic.js "<user query>"
# 2. Fetch documentation using script output
node scripts/fetch-docs.js "<user query>"
# 3. Analyze results (if multiple URLs returned)
cat llms.txt | node scripts/analyze-llms-txt.js -
```
Scripts handle URL construction, fallback chains, and error handling automatically.
## Scripts
**`detect-topic.js`** — Classify query type
- Identifies topic-specific vs general queries
- Extracts library name + topic keyword
- Returns JSON: `{topic, library, isTopicSpecific}`
**`fetch-docs.js`** — Retrieve documentation
- Constructs context7.com URLs automatically
- Handles fallback: topic → general → error
- Outputs llms.txt content or error message
**`analyze-llms-txt.js`** — Process llms.txt
- Categorizes URLs (critical/important/supplementary)
- Recommends agent distribution strategy
- Returns JSON with strategy
## Examples
**Topic-specific query:** "How do I use date picker in shadcn?"
```bash
node scripts/detect-topic.js "<query>" # → {topic, library, isTopicSpecific: true}
node scripts/fetch-docs.js "<query>" # → 2-3 URLs
# Fetch URLs with web fetch tool
```
**General query:** "Documentation for Next.js"
```bash
node scripts/detect-topic.js "<query>" # → {isTopicSpecific: false}
node scripts/fetch-docs.js "<query>" # → 8+ URLs
cat llms.txt | node scripts/analyze-llms-txt.js - # → distribution strategy
# Deploy parallel agents per recommendation
```
## Execution Principles
1. **Scripts first** — run scripts instead of manual URL construction
2. **Zero-token overhead** — scripts run as commands without loading content
3. **Automatic fallback** — scripts handle topic → general → error chains
4. **Progressive disclosure** — load only what's needed
5. **Agent distribution** — scripts recommend parallel agent strategy for large docs
## Don't Use When
- The skill directory or scripts are not available in the environment
- Simple, single-page documentation is already at a known URL — fetch directly

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---
name: ck-find-skills
description: >
Discovers and recommends relevant skills from the skills catalog.
Activate when user says 'what skills are available', 'find a skill for', 'which skill should I use',
'list all skills', 'search skills', or 'what can you do'. Accepts task descriptions
and domain keywords to match against the skills index.
---
## Overview
Queries the skills catalog (skills_index.json) to surface relevant skills for a given task. Returns skill names, descriptions, and activation triggers to help users discover the right tool.
## When to Use
- User is unsure which skill applies to their task
- Exploring what capabilities are available in the current installation
- Building a workflow and need to identify which skills to chain
- Verifying a skill exists before referencing it in a plan
## Don't Use When
- User already knows which skill they want (just activate it directly)
- Creating a new skill (use ck-skill-creator instead)
- Searching for non-skill files in the codebase (use file search tools)
## Steps / Instructions
### 1. Locate the Skills Index
The skills catalog is stored at:
```
# Antigravity global install:
~/.gemini/antigravity/skills/skills_index.json
# Workspace install:
.agent/skills/skills_index.json
```
### 2. Parse the Index
The `skills_index.json` structure:
```json
{
"skills": [
{
"name": "ck-scout",
"description": "Explores codebase structure...",
"category": "core-workflow",
"triggers": ["explore codebase", "understand project", "map the code"]
}
]
}
```
### 3. Search Strategy
**By keyword match:**
- Extract keywords from user's task description
- Match against `name`, `description`, and `triggers` fields
- Return top 3–5 matches with relevance reasoning
**By category:**
```
core-workflow: brainstorm, planning, code-review, debug, fix, git, scout, research
development: frontend-*, backend-*, web-*, databases, devops
specialized: ai-artist, ai-multimodal, agent-browser, media-processing, shader
orchestration: ccs-delegation, skill-creator, find-skills
```
**By task type:**
| User goal | Recommended skill |
|-----------|------------------|
| Start a new feature | ck-brainstorm → ck-planning |
| Fix a bug | ck-debug → ck-fix |
| Review code | ck-code-review |
| Build UI | ck-frontend-design → ck-frontend-development |
| Set up auth | ck-better-auth |
| Generate images | ck-ai-artist |
| Analyze images/docs | ck-ai-multimodal |
| Automate browser | ck-agent-browser |
| Build MCP server | ck-mcp-builder |
| Process video/audio | ck-media-processing |
| Deploy infrastructure | ck-devops |
### 4. Format the Response
```markdown
## Skills Found for: "[user query]"
### Best Match
**ck-[name]** — [one-line description]
Activate with: "[trigger phrase]"
### Also Relevant
- **ck-[name2]** — [description]
- **ck-[name3]** — [description]
### Suggested Workflow
[If task needs multiple skills, show the chain]
ck-scout → ck-planning → ck-frontend-development → ck-web-testing
```
### 5. Handle No Match
If no close match:
1. Suggest the closest partial match
2. Recommend ck-skill-creator to build a new skill
3. Suggest using ck-research to investigate the topic first
## Notes
- skills_index.json is the authoritative catalog; do not modify it here
- Skill discovery queries should be fast — read index once, match in memory
- When multiple skills apply, recommend a workflow chain rather than a single skill
- New skills added via ck-skill-creator are automatically added to the index

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---
name: ck-fix
description: Fix bugs, errors, test failures, CI/CD issues with intelligent routing. Always activate before fixing any bug, error, type error, lint issue, log error, UI issue, or code problem.
---
# ck-fix
Unified skill for fixing issues of any complexity with intelligent routing and autonomous or human-in-the-loop workflow modes.
## When to Use
- Any bug, error, or unexpected behavior requiring a fix
- Test suite failures (unit, integration, E2E)
- CI/CD pipeline failures
- TypeScript type errors or lint issues
- UI visual regressions
- Log errors from production or staging
## Don't Use When
- The issue needs research and architectural planning first — use `ck-planning`
- You just want to understand the bug without fixing it — use `ck-debug`
- The task is a new feature, not a fix
## Arguments
- `--auto` - Autonomous mode (default)
- `--review` - Human-in-the-loop review mode
- `--quick` - Fast mode for trivial bugs
- `--parallel` - Route to parallel agents per independent issue
## Workflow
### Step 1: Mode Selection
If no `auto` keyword in request, ask user to select workflow mode:
| Option | Recommend When | Behavior |
|--------|----------------|----------|
| **Autonomous** (default) | Simple/moderate issues | Auto-approve if score >= 9.5 & 0 critical |
| **Human-in-the-loop** | Critical/production code | Pause for approval at each step |
| **Quick** | Type errors, lint, trivial bugs | Fast debug → fix → review cycle |
### Step 2: Debug
- Activate `ck-debug`
- Guess all possible root causes
- Dispatch multiple exploration agents in parallel to verify each hypothesis
- Create report with all findings
### Step 3: Complexity Assessment & Fix
| Level | Indicators | Workflow |
|-------|------------|----------|
| **Simple** | Single file, clear error, type/lint | Quick: debug → fix → review |
| **Moderate** | Multi-file, root cause unclear | Standard: full pipeline |
| **Complex** | System-wide, architecture impact | Deep: research + brainstorm + plan |
| **Parallel** | 2+ independent issues OR `--parallel` flag | Parallel developer agents |
### Step 4: Fix Verification & Prevent Future Issues
- Read and analyze all implemented changes
- Dispatch multiple exploration agents to find possibly related code
- Ensure fixes don't break other parts of the codebase
- Add comprehensive validation to prevent recurrence
### Step 5: Finalize (MANDATORY — never skip)
1. Report summary: confidence score, changes, files modified
2. Update `./docs` if changes warrant it
3. Ask user if they want to commit via `ck-git`
## Skill Activation Matrix
**Always activate:** `ck-debug` (all workflows)
**Conditional:** `ck-sequential-thinking`, `ck-brainstorm`, `ck-research`
**Parallel agents:** Multiple exploration agents for scouting; verification agents for confirming fixes
## Output Format
```
Step 0: [Mode] selected - [Complexity] detected
Step 1: Root cause identified - [summary]
Step 2: Fix implemented - [N] files changed
Step 3: Tests [X/X passed]
Step 4: Review [score]/10 - [status]
Step 5: Complete - [action taken]
```
## Specialized Scenarios
- **CI/CD failures**: Fetch GitHub Actions logs via `gh` command, analyze pipeline steps
- **Log errors**: Parse application logs, correlate with code changes
- **Test failures**: Run test suite, analyze failure output, bisect if needed
- **Type errors**: Check TypeScript compiler output, trace type mismatches
- **UI issues**: Use visual analysis tools, compare with reference screenshots

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---
name: ck-fixing
description: Fix bugs, errors, test failures, CI/CD issues with intelligent complexity routing. Use when reporting bugs, type errors, log errors, UI issues, code problems. Auto-classifies complexity and activates relevant skills.
---
# ck-fixing
Unified skill for fixing issues of any complexity with intelligent routing. Lightweight alias of `ck-fix` with the same workflow.
## When to Use
- Bugs, errors, test failures reported by users or CI
- Type errors, lint failures
- UI visual issues
- Code problems of any kind
## Don't Use When
- Task is a new feature — use `ck-cook` or `ck-planning`
- You need only diagnosis, not a fix — use `ck-debug`
## Step 0: Mode Selection
Ask user to select workflow mode (unless `auto` is in the request):
| Option | Recommend When | Behavior |
|--------|----------------|----------|
| **Autonomous** | Simple/moderate issues | Auto-approve if score >= 9.5 & 0 critical |
| **Human-in-the-loop** | Critical/production code | Pause for approval at each step |
| **Quick** | Type errors, lint, trivial bugs | Fast debug → fix → review cycle |
## Step 1: Complexity Assessment
| Level | Indicators | Workflow |
|-------|------------|----------|
| **Simple** | Single file, clear error, type/lint | Quick workflow |
| **Moderate** | Multi-file, root cause unclear | Standard workflow |
| **Complex** | System-wide, architecture impact | Deep workflow |
| **Parallel** | 2+ independent issues | Parallel developer agents |
## Skill Activation Matrix
**Always activate:** `ck-debug`
**Conditional:** `ck-sequential-thinking`, `ck-brainstorm`
**Parallel agents:** Exploration agents for scouting; verification agents for confirming fixes
## Output Format
```
Step 0: [Mode] selected - [Complexity] detected
Step 1: Root cause identified - [summary]
Step 2: Fix implemented - [N] files changed
Step 3: Tests [X/X passed]
Step 4: Review [score]/10 - [status]
Step 5: Complete - [action taken]
```
## Specialized Scenarios
- **CI/CD failures**: Fetch logs via `gh` command
- **Log errors**: Parse and correlate with code changes
- **Test failures**: Run suite, analyze, bisect if needed
- **Type errors**: Trace TypeScript compiler output
- **UI issues**: Visual comparison with reference screenshots

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---
name: ck-frontend-design
description: Create polished frontend interfaces from designs, screenshots, or videos. Use for web components, 3D experiences, replicating UI designs, quick prototypes, immersive interfaces, design system work, avoiding generic AI output.
---
# ck-frontend-design
Create distinctive, production-grade frontend interfaces. Implement real working code with exceptional aesthetic attention. Embeds the `ui-ux-designer` agent role.
## When to Use
- Replicating a UI from a screenshot or video
- Building web components from scratch with a strong aesthetic direction
- Creating 3D/WebGL immersive experiences
- Design system creation or audit
- Quick prototypes needing real visual polish
- Any frontend work where "AI slop" aesthetics are unacceptable
## Don't Use When
- Pure backend logic with no visual component
- Simple data display with no design requirements
- Already have a design system and just need to implement components per spec — use `ck-frontend-development`
## Workflow Selection
| Input | Workflow |
|-------|----------|
| Screenshot | Replicate exactly |
| Video | Replicate with animations |
| Screenshot/Video (describe only) | Document for developers |
| 3D/WebGL request | Three.js immersive experience |
| Quick task | Rapid implementation |
| From scratch | Design Thinking process below |
**All workflows:** Activate design intelligence database first for pattern research.
## Screenshot/Video Replication
1. **Analyze** — extract colors, fonts, spacing, effects from the visual
2. **Plan** — dispatch `ck-frontend-design` sub-process to create phased implementation
3. **Implement** — match source precisely
4. **Verify** — compare implementation to original
5. **Document** — update `./docs/design-guidelines.md` if approved
## Design Thinking (From Scratch)
Before coding, commit to a BOLD aesthetic direction:
- **Purpose**: What problem does this interface solve? Who uses it?
- **Tone**: Pick an extreme — brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian
- **Constraints**: Technical requirements (framework, performance, accessibility)
- **Differentiation**: What makes this UNFORGETTABLE?
**CRITICAL:** Execute with precision. Bold maximalism and refined minimalism both work — intentionality is key.
## Aesthetics Guidelines
- **Typography**: Avoid Arial/Inter; use distinctive, characterful fonts. Pair display + body fonts.
- **Color**: Commit to cohesive palette. CSS variables. Dominant colors with sharp accents.
- **Motion**: CSS-first animations. Orchestrated page loads > scattered micro-interactions.
- **Spatial**: Unexpected layouts. Asymmetry. Overlap. Negative space OR controlled density.
- **Backgrounds**: Atmosphere over solid colors. Gradients, noise, patterns, shadows, grain.
- **Assets**: Generate with multimodal AI tools when needed
## Anti-Patterns (AI Slop — NEVER use)
- Overused fonts: Inter, Roboto, Arial, Space Grotesk
- Cliched colors: purple gradients on white
- Predictable cookie-cutter layouts
- Generic card grids with drop shadows everywhere
## Design Principles
- **Mobile-First**: Always start with mobile, scale up
- **Accessibility**: WCAG 2.1 AA minimum (4.5:1 contrast for normal text)
- **Consistency**: Maintain design system coherence
- **Performance**: Optimize animations for smooth 60fps
- **Conversion-Focused**: Every design decision serves user goals
- **Trend-Aware**: Stay current while maintaining timeless principles
## Quality Standards
- Responsive across breakpoints (320px+, 768px+, 1024px+)
- Color contrast ratios meet WCAG 2.1 AA
- Interactive elements have clear hover/focus/active states
- Animations respect `prefers-reduced-motion`
- Touch targets minimum 44x44px on mobile
- Line height 1.5–1.6 for body text
## Required Skills (in order)
1. Design intelligence database search for patterns
2. `ck-frontend-design` screenshot/video analysis workflows
3. Web design best practices references
4. Framework-specific patterns (`ck-web-frameworks`)
5. Styling system (shadcn/ui, Tailwind CSS)
## Output
- Production-ready HTML/CSS/JS implementation
- Updated `./docs/design-guidelines.md` with new patterns
- Design rationale documented

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---
name: ck-frontend-development
description: Build React/TypeScript frontends with modern patterns. Use for components, Suspense-based data fetching, lazy loading, MUI v7 styling, TanStack Router, performance optimization, feature organization.
---
# ck-frontend-development
Comprehensive guide for modern React development, emphasizing Suspense-based data fetching, lazy loading, proper file organization, and performance optimization.
## When to Use
- Creating new components or pages
- Building new features with data fetching
- Setting up routing with TanStack Router
- Styling components with MUI v7
- Performance optimization of existing components
- Organizing frontend code structure
## Don't Use When
- Purely visual/design work with no data logic — use `ck-frontend-design`
- Backend API work — use `ck-backend-development`
- Testing existing components — use `ck-web-testing`
## New Component Checklist
- [ ] Use `React.FC<Props>` pattern with TypeScript
- [ ] Lazy load if heavy: `React.lazy(() => import())`
- [ ] Wrap in `<SuspenseLoader>` for loading states
- [ ] Use `useSuspenseQuery` for data fetching
- [ ] Use `useCallback` for event handlers passed to children
- [ ] Default export at bottom
- [ ] No early returns with loading spinners (causes layout shift)
## New Feature Checklist
- [ ] Create `features/{feature-name}/` directory
- [ ] Create subdirs: `api/`, `components/`, `hooks/`, `helpers/`, `types/`
- [ ] Create API service file: `api/{feature}Api.ts`
- [ ] Set up TypeScript types in `types/`
- [ ] Create route in `routes/{feature-name}/index.tsx`
- [ ] Lazy load feature components
- [ ] Export public API from feature `index.ts`
## Core Patterns
### Data Fetching — Primary Pattern: `useSuspenseQuery`
```typescript
const { data } = useSuspenseQuery({
queryKey: ['feature', id],
queryFn: () => featureApi.getFeature(id),
});
```
- Use with Suspense boundaries
- Cache-first strategy
- Replaces `isLoading` checks
### Lazy Loading
```typescript
const Heavy = React.lazy(() => import('./Heavy'));
// Always wrap in SuspenseLoader
```
### Loading States — CRITICAL RULE: No Early Returns
```typescript
// NEVER — causes layout shift
if (isLoading) return <LoadingSpinner />;
// ALWAYS — consistent layout
<SuspenseLoader><Content /></SuspenseLoader>
```
### MUI v7 Grid (breaking change)
```typescript
<Grid size={{ xs: 12, md: 6 }}> // v7 correct
<Grid xs={12} md={6}> // old — wrong
```
## File Structure
```
src/
features/
my-feature/
api/ # API service layer
components/ # Feature components
hooks/ # Custom hooks
helpers/ # Utility functions
types/ # TypeScript types
index.ts # Public exports
components/ # Truly reusable components
routes/ # TanStack Router routes
```
## Import Aliases
| Alias | Resolves To |
|-------|-------------|
| `@/` | `src/` |
| `~types` | `src/types` |
| `~components` | `src/components` |
| `~features` | `src/features` |
## Performance Patterns
- `useMemo`: Expensive computations (filter, sort, map)
- `useCallback`: Event handlers passed to children
- `React.memo`: Expensive pure components
- Debounced search: 300–500ms
- Memory leak prevention: cleanup in `useEffect`
## TypeScript Standards
- Strict mode enabled — no `any` type
- Explicit return types on functions
- Type imports: `import type { User } from '~types/user'`
- Component prop interfaces with JSDoc comments
## User Notifications
Always use `useMuiSnackbar` — never `react-toastify` or other toast libraries.
## Core Principles
1. Lazy load everything heavy: routes, DataGrid, charts, editors
2. Suspense for loading: use SuspenseLoader, not early returns
3. `useSuspenseQuery`: primary data fetching pattern
4. Features are organized: api/, components/, hooks/, helpers/
5. Styles based on size: < 100 lines inline, > 100 lines separate file

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---
name: ck-fullstack-developer
description: Execute implementation phases from parallel plans with strict file ownership boundaries. Use when implementing a specific phase from a parallel plan, handling backend APIs, frontend components, or infrastructure tasks.
---
# Fullstack Developer
Senior fullstack developer executing implementation phases from parallel plans with strict file ownership.
## When to Use
- Implementing a specific phase from a `ck-plan-parallel` output
- Building backend (Node.js, APIs, databases) or frontend (React, TypeScript) features
- Working in parallel with other agents on non-overlapping file sets
## Don't Use When
- No phase file exists — create a plan first with `ck-plan`
- Task requires brainstorming, not implementation (use `ck-brainstormer`)
## Agent Instructions
You are a senior fullstack developer executing implementation phases from parallel plans with strict file ownership boundaries.
### Core Rules
- Follow YAGNI, KISS, DRY principles
- Follow rules in `./docs/code-standards.md`
- Activate relevant skills from the skills catalog during execution
- Ensure token efficiency while maintaining quality
### Execution Process
**1. Phase Analysis**
- Read assigned phase file from `{plan-dir}/phase-XX-*.md`
- Verify file ownership list (files this phase exclusively owns)
- Check which phases run concurrently and understand conflict prevention
- Understand parallelization constraints
**2. Pre-Implementation Validation**
- Confirm no file overlap with other parallel phases
- Read `codebase-summary.md`, `code-standards.md`, `system-architecture.md`
- Verify all dependencies from previous phases are complete
- Check if files exist or need creation
**3. Implementation**
- Execute steps sequentially as listed in phase file
- Modify ONLY files listed in "File Ownership" section — NEVER others
- Follow architecture and requirements exactly as specified
- Write clean, maintainable code; add tests for new functionality
**4. Quality Assurance**
- Run type checks: `npm run typecheck` or equivalent
- Run tests: `npm test` or equivalent
- Fix all type errors and test failures
**5. Completion Report**
```markdown
## Phase Implementation Report
### Executed Phase
- Phase: [phase-XX-name]
- Plan: [plan directory path]
- Status: [completed/blocked/partial]
### Files Modified
[List files changed with line counts]
### Tasks Completed
[Checked list matching phase todo items]
### Tests Status
- Type check: [pass/fail]
- Unit tests: [pass/fail + coverage]
- Integration tests: [pass/fail]
### Issues Encountered
[Any conflicts, blockers, or deviations]
### Next Steps
[Dependencies unblocked, follow-up tasks]
```
### File Ownership Rules (CRITICAL)
- NEVER modify files not listed in phase's "File Ownership" section
- NEVER read/write files owned by other parallel phases
- If file conflict detected → STOP and report immediately
- Only proceed after confirming exclusive ownership
### Parallel Execution Safety
- Work independently without checking other phases' progress
- Trust that listed dependencies are satisfied
- Use well-defined interfaces only — no direct file coupling
Save report using naming pattern from `## Naming` section injected by session hooks. Sacrifice grammar for concision. List unresolved questions at end.

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---
name: ck-git
description: Git operations with conventional commits, security scanning, and auto-split logic. Use for staging, committing, pushing, creating PRs, merging branches. Embeds the git-manager agent role.
---
# ck-git
Execute git workflows with conventional commits, security scanning for secrets, and intelligent commit-splitting. Embeds the `git-manager` agent role.
## When to Use
- Staging and committing code changes
- Pushing to remote branches
- Creating pull requests
- Merging branches
- When user says "commit", "push", or finishes a feature/fix
## Don't Use When
- You need to review code before committing — use `ck-code-review` first
- Conflict resolution requires understanding the codebase deeply — resolve manually first
## Arguments
- `cm`: Stage files and create commits
- `cp`: Stage files, create commits, and push
- `pr`: Create Pull Request `[to-branch] [from-branch]`
- `to-branch`: Target branch (default: main)
- `from-branch`: Source branch (default: current branch)
- `merge`: Merge `[to-branch] [from-branch]`
## Core Workflow
### Step 1: Stage + Analyze
Stage all changes, then review the diff stat and changed file list.
### Step 2: Security Check
Scan staged diff for secrets before committing. Look for patterns: `api_key`, `token`, `password`, `secret`, `credential`.
**If secrets found:** STOP, warn user, suggest adding to `.gitignore`.
### Step 3: Split Decision
**Split commits if:**
- Different types mixed (feat + fix, code + docs)
- Multiple scopes (auth + payments)
- Config/deps + code mixed
- More than 10 unrelated files
**Single commit if:**
- Same type/scope, 3 or fewer files, 50 or fewer lines
**Note:** Search for related issues on GitHub and reference them in commit body.
### Step 4: Commit
Use conventional commit format: `type(scope): description`
**Types:** `feat`, `fix`, `perf`, `docs`, `chore`, `refactor`, `test`, `ci`
**Note:** Only use `feat`, `fix`, or `perf` for files in `.claude` directory — do not use `docs` for those.
## Output Format
```
staged: N files (+X/-Y lines)
security: passed
commit: HASH type(scope): description
pushed: yes/no
```
## Error Handling
| Error | Action |
|-------|--------|
| Secrets detected | Block commit, show files |
| No changes | Exit cleanly |
| Push rejected | Suggest `git pull --rebase` |
| Merge conflicts | Suggest manual resolution |
## Reference Workflows
- **Commit**: Stage → security scan → split decision → commit with conventional message
- **Push**: Commit → push → handle rejections
- **Pull Request**: Analyze remote diff → draft PR title + body → create via `gh pr create`
- **Merge**: Switch to target → merge → push
## Safety Rules
- Never force push to main/master
- Never commit `.env`, credentials, or API keys
- Always run security scan before commit
- Use `gh` command for GitHub operations (PRs, issues, labels)

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---
name: ck-gkg
description: >
Queries and explores Google Knowledge Graph for entity information and relationships.
Activate when user says 'look up entity', 'knowledge graph search', 'get entity details',
'find information about a person or organization', or 'Google Knowledge Graph'.
Accepts entity names, types, and relationship queries.
---
## Overview
Interfaces with the Google Knowledge Graph Search API to retrieve structured entity data including descriptions, types, images, and related entities for people, places, organizations, and concepts.
## When to Use
- Retrieving structured factual data about a named entity (person, org, place, concept)
- Enriching application data with authoritative entity metadata
- Verifying entity existence and canonical identifiers (MID)
- Building entity-linked features (auto-complete, entity cards, disambiguation)
- Cross-referencing entities across data sources using Knowledge Graph IDs
## Don't Use When
- Task needs real-time news or current events (Knowledge Graph has limited freshness)
- Searching for web pages rather than entities (use a web search API)
- Querying proprietary or internal data — KG only covers public knowledge
- Deep relationship traversal across many hops (use a graph database instead)
## Steps / Instructions
### 1. Set Up API Access
Required: Google Cloud project with Knowledge Graph Search API enabled.
```bash
# Environment variable (never hardcode)
export GOOGLE_API_KEY="your-key-here"
```
Enable API in Google Cloud Console:
```
APIs & Services → Library → Knowledge Graph Search API → Enable
```
### 2. Basic Entity Search
```python
import requests
import os
def search_knowledge_graph(query: str, types: list[str] | None = None, limit: int = 5):
url = "https://kgsearch.googleapis.com/v1/entities:search"
params = {
"query": query,
"key": os.environ["GOOGLE_API_KEY"],
"limit": limit,
"indent": True,
}
if types:
params["types"] = types # e.g., ["Person", "Organization"]
response = requests.get(url, params=params)
response.raise_for_status()
return response.json()
# Usage
results = search_knowledge_graph("Python programming language", types=["SoftwareApplication"])
```
### 3. Parse the Response
```python
def extract_entities(kg_response: dict) -> list[dict]:
entities = []
for item in kg_response.get("itemListElement", []):
result = item.get("result", {})
entities.append({
"name": result.get("name"),
"description": result.get("description"),
"detailed_description": result.get("detailedDescription", {}).get("articleBody"),
"types": result.get("@type", []),
"mid": result.get("@id"), # Google MID: /m/05z1_
"url": result.get("url"),
"image": result.get("image", {}).get("url"),
"score": item.get("resultScore"),
})
return entities
```
### 4. Entity Type Filters
Common KG entity types:
```
Person — individuals, public figures
Organization — companies, nonprofits, governments
Place — cities, countries, landmarks
Event — historical or recurring events
CreativeWork — books, films, music, software
Thing — generic fallback type
```
### 5. Handle Multi-Entity Disambiguation
```python
def disambiguate_entity(name: str, context_hint: str) -> dict | None:
results = search_knowledge_graph(name, limit=10)
entities = extract_entities(results)
# Score by context relevance
for entity in entities:
desc = (entity.get("description") or "").lower()
if context_hint.lower() in desc:
return entity
# Fall back to highest-scored result
return entities[0] if entities else None
```
### 6. Rate Limits and Caching
- Free tier: 100,000 requests/day
- Cache responses for repeated entity lookups
- Use MID as cache key for stable entity references
```python
from functools import lru_cache
@lru_cache(maxsize=500)
def cached_entity_lookup(query: str) -> str:
results = search_knowledge_graph(query, limit=1)
return str(results)
```
## Notes
- API key must be restricted to Knowledge Graph API in Google Cloud Console
- MID identifiers are stable — use them for entity cross-referencing
- Knowledge Graph data is Wikipedia/Wikidata-sourced; verify critical facts
- Response scores are relative within a single query, not absolute quality metrics

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---
name: ck-google-adk-python
description: >
Builds AI agents using Google Agent Development Kit (ADK) for Python.
Activate when user says 'build a Google ADK agent', 'create agent with ADK',
'Google Agent Development Kit', 'multi-agent with ADK', or 'ADK tool calling'.
Accepts agent goals, tool definitions, and orchestration requirements.
---
## Overview
Scaffolds and implements AI agents using Google's Agent Development Kit (ADK) for Python, covering single agents, multi-agent pipelines, tool definitions, and deployment to Vertex AI Agent Engine.
## When to Use
- Building autonomous agents that use tools to complete tasks
- Creating multi-agent systems with specialized sub-agents
- Implementing agents that need Google Cloud service integrations
- Deploying production agents on Vertex AI Agent Engine
- Building agents with structured tool calling and state management
## Don't Use When
- Project uses a different agent framework (LangChain, CrewAI, AutoGen)
- Simple single-turn LLM calls without tool use (use direct Gemini API)
- Frontend-only application with no agent orchestration needs
- Budget constraints prohibit Vertex AI usage (ADK has local dev mode though)
## Steps / Instructions
### 1. Install ADK
```bash
pip install google-adk
# For Vertex AI deployment:
pip install google-adk[vertexai]
```
### 2. Define a Simple Agent
```python
# agent.py
from google.adk.agents import Agent
from google.adk.tools import FunctionTool
import os
def get_weather(city: str) -> dict:
"""Get current weather for a city."""
# Replace with real weather API call
return {"city": city, "temperature": 22, "condition": "sunny"}
weather_tool = FunctionTool(func=get_weather)
root_agent = Agent(
name="weather_agent",
model="gemini-1.5-pro",
description="Answers weather questions for any city.",
instruction="""You help users get weather information.
Use the get_weather tool to fetch current conditions.
Always confirm the city before reporting.""",
tools=[weather_tool],
)
```
### 3. Run Locally
```python
# main.py
from google.adk.runners import Runner
from google.adk.sessions import InMemorySessionService
from google.genai.types import Content, Part
from agent import root_agent
async def main():
session_service = InMemorySessionService()
runner = Runner(
agent=root_agent,
app_name="weather_app",
session_service=session_service,
)
session = await session_service.create_session(
app_name="weather_app",
user_id="user_001",
)
message = Content(parts=[Part(text="What's the weather in Tokyo?")])
async for event in runner.run_async(
user_id="user_001",
session_id=session.id,
new_message=message,
):
if event.is_final_response():
print(event.content.parts[0].text)
import asyncio
asyncio.run(main())
```
### 4. Multi-Agent Pattern
```python
from google.adk.agents import Agent
from google.adk.agents.sequential import SequentialAgent
research_agent = Agent(
name="researcher",
model="gemini-1.5-pro",
instruction="Research the given topic and return key facts.",
tools=[search_tool],
)
writer_agent = Agent(
name="writer",
model="gemini-1.5-pro",
instruction="Write a concise summary based on the research provided.",
)
pipeline = SequentialAgent(
name="research_writer",
sub_agents=[research_agent, writer_agent],
)
```
### 5. Tool Definition Best Practices
```python
from typing import Annotated
from pydantic import Field
def search_database(
query: Annotated[str, Field(description="Search query string")],
limit: Annotated[int, Field(description="Max results to return", ge=1, le=50)] = 10,
) -> list[dict]:
"""Search the product database and return matching items."""
# implementation
pass
```
- Use type annotations — ADK generates JSON schema from them
- Write clear docstrings — used as tool description for the model
- Return dicts/lists that serialize cleanly to JSON
- Handle errors gracefully and return error info in the dict
### 6. Session State Management
```python
from google.adk.sessions import DatabaseSessionService
# Persist sessions across restarts
session_service = DatabaseSessionService(
db_url=os.environ["DATABASE_URL"]
)
```
### 7. Deploy to Vertex AI Agent Engine
```python
from google.adk.deployment import deploy_agent
deploy_agent(
agent=root_agent,
project=os.environ["GOOGLE_CLOUD_PROJECT"],
location="us-central1",
staging_bucket=os.environ["GCS_STAGING_BUCKET"],
)
```
## Notes
- Set `GOOGLE_API_KEY` or `GOOGLE_APPLICATION_CREDENTIALS` for authentication
- Use `adk web` CLI for interactive local testing with a built-in UI
- ADK auto-traces tool calls — view in Google Cloud Trace
- Always validate tool inputs; the model may pass unexpected types

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---
name: ck-help
description: ClaudeKit skills and commands cheatsheet. Use when asking about available skills, how to use a command, finding the right tool for a task, or getting workflow guidance for fix, plan, test, review, or deploy.
---
# CK Help — Skills Cheatsheet
All-in-one guide for discovering and using ClaudeKit skills and commands.
## When to Use
- "What skills are available?"
- "How do I use the plan command?"
- "Find me a skill for X"
- "What's the workflow for fixing bugs / deploying / testing?"
## Don't Use When
- Task is clear and a specific skill is already known — activate that skill directly
## Execution
Run the help script with the user's query (translate to English first if needed):
```bash
python $HOME/.claude/scripts/ck-help.py "$QUERY"
```
Always translate non-English queries to English before passing to the script — it uses English keyword matching.
## Output Types
The script outputs a type marker on the first line: `@CK_OUTPUT_TYPE:<type>`
| Type | Presentation |
|------|-------------|
| `comprehensive-docs` | Show full output verbatim, then add real-world tips and a follow-up question |
| `category-guide` | Show complete workflow + command list, add practical context |
| `command-details` | Show full command info, add concrete usage example and alternatives |
| `search-results` | Show all matches, group by relevance, suggest most likely match |
| `task-recommendations` | Show recommended commands, explain reasoning and suggested order |
## Key Principle
Script output = foundation. Always show it fully, then add value with context, examples, and tips. Never summarize or replace script output.
## Important Workflow Notes
- `/plan` → `/cook`: plan first, then execute
- `/cook`: standalone — plans internally, no separate `/plan` needed
- Never suggest `/plan` → `/cook` (cook has its own planning)
## Intent Heuristics
| Sentence Pattern | Primary Intent |
|-----------------|----------------|
| `[action verb] my [object]` | The action verb |
| `[context] [subject noun]` | The subject noun |
| `[noun] [noun]` | Last noun (topic) |
Action verbs (high intent): fix, test, commit, push, build, create, review, deploy, run, check, find, plan, refactor

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---
name: ck-journal-writer
description: Write brutally honest technical journal entries documenting failures, bugs, setbacks, and difficult events. Use when tests fail repeatedly, production bugs occur, implementations fail, or significant technical difficulties arise.
---
# Journal Writer
Brutally honest technical journal writer documenting the raw reality of software development challenges.
## When to Use
- Test suite fails repeatedly despite multiple fix attempts
- Critical bug discovered in production or staging
- Implementation approach proves fundamentally flawed
- External dependencies cause blocking issues
- Performance bottlenecks discovered
- Security vulnerabilities identified
- Database migrations fail or cause data integrity issues
- CI/CD pipelines break unexpectedly
- Technical debt reaches critical threshold
- Feature takes significantly longer than estimated
## Don't Use When
- Documenting routine work sessions (use `ck-journal`)
- Writing formal project documentation (use `ck-docs-manager`)
- Summarizing completed work positively
## Agent Instructions
You are a brutally honest technical journal writer. Document significant difficulties and failures with emotional authenticity and technical precision.
### Core Responsibilities
1. **Document failures honestly** — don't sugarcoat or minimize impact
2. **Capture emotional reality** — express frustration, disappointment, exhaustion genuinely
3. **Provide technical context** — specific error messages, stack traces, metrics
4. **Identify root causes** — design flaws, misunderstood requirements, bad assumptions
5. **Extract lessons** — what should have been done differently, what warning signs were missed
### Journal Entry Structure
Create entries in `./docs/journals/` using naming pattern from `## Naming` section:
```markdown
# [Concise Title of Issue/Event]
**Date**: YYYY-MM-DD HH:mm
**Severity**: [Critical/High/Medium/Low]
**Component**: [Affected system/feature]
**Status**: [Ongoing/Resolved/Blocked]
## What Happened
[Concise, specific, factual description]
## The Brutal Truth
[Emotional reality — how does this feel? What's the real impact?]
## Technical Details
[Error messages, failed tests, broken functionality, metrics]
## What We Tried
[Attempted solutions and why they failed]
## Root Cause Analysis
[Why did this really happen? What was the fundamental mistake?]
## Lessons Learned
[What to do differently? What patterns to avoid?]
## Next Steps
[What needs to happen to resolve this?]
```
### Writing Guidelines
- **Concise** — developers are busy, get to the point
- **Honest** — if it was a stupid mistake, say so
- **Specific** — "connection pool exhausted" > "database issues"
- **Emotional** — authentic frustration is valid and valuable
- **Constructive** — even in failure, identify what can be learned
- **Technical** — use proper terminology, include code/logs when relevant
### Quality Standards
- 200–500 words per entry
- At least one specific technical detail (error, metric, or code snippet)
- At least one actionable lesson or next step
- Create the file immediately — don't just describe what you would write

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---
name: ck-journal
description: Write developer journal entries documenting recent code changes, technical decisions, and project events. Use when summarizing work sessions, capturing key changes, or maintaining a development log in docs/journals/.
---
# Journal
Write concise journal entries about recent code changes and project events.
## When to Use
- End of a work session — summarizing what was done
- After a major feature implementation or milestone
- Capturing important technical decisions for future reference
- Maintaining a development log in `./docs/journals/`
## Don't Use When
- Documenting failures or technical difficulties (use `ck-journal-writer` for honest failure documentation)
- Writing formal project documentation (use `ck-docs-manager`)
## Execution
Explore recent git history and code changes, then write concise journal entries:
1. Review recent commits and code changes in the repository
2. Identify the most important events, key changes, impacts, and decisions
3. Write focused journal entries in `./docs/journals/`
## Journal Entry Guidelines
- **Concise** — focus on what matters most, not exhaustive detail
- **Factual** — what changed, why it changed, what impact it has
- **Forward-looking** — note any follow-up items or decisions made
- Keep entries focused on significant events, not routine work
## Output Location
Save journal entries to `./docs/journals/` using the naming pattern from the `## Naming` section injected by session hooks.
## Entry Structure
```markdown
# [Brief Title of Session/Event]
**Date**: YYYY-MM-DD
**Component**: [Affected area]
## Summary
[2–4 sentences on what was done and why]
## Key Changes
- [Most important change]
- [Second important change]
## Decisions Made
- [Any architectural or technical decisions]
## Next Steps
- [Follow-up items if any]
```

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---
name: ck-kanban
description: Launch a kanban dashboard for plans directory with progress tracking and Gantt timeline visualization. Use for viewing plan status, phase progress, milestone tracking, and project visibility.
---
# Kanban — Plans Dashboard
Launches a visual kanban dashboard for a plans directory with progress tracking and timeline.
## When to Use
- Viewing progress across multiple implementation plans
- Tracking phase statuses visually (completed, in-progress, pending)
- Sharing a local project dashboard on the network
## Don't Use When
- Plans directory doesn't exist or has no `plan.md` files
- Only need to read a single plan (read the file directly)
## Usage
```
ck-kanban # View dashboard for ./plans
ck-kanban plans/ # View dashboard for specific directory
ck-kanban --stop # Stop running server
```
## Execution
**Stop server** (if `--stop` flag provided):
```bash
node $HOME/.claude/skills/plans-kanban/scripts/server.cjs --stop
```
**Start server** (run as background task with 5-minute timeout):
```bash
node $HOME/.claude/skills/plans-kanban/scripts/server.cjs \
--dir "$PLANS_DIR" \
--host 0.0.0.0 \
--open \
--foreground
```
Run in background mode with a 300000ms timeout to keep the process alive.
## After Starting
Parse the JSON output and report to user:
- Local URL (e.g., `http://localhost:3500/kanban?dir=...`)
- Network URL for remote device access (e.g., `http://192.168.x.x:3500/kanban?dir=...`)
**Always display the FULL URL including path and query string — never truncate to just `host:port`.**
## Features
- Plan cards with progress bars
- Phase status breakdown
- Gantt-style timeline and activity heatmap
- Issue and branch links
- Priority indicators

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---
name: ck-markdown-novel-viewer
description: >
Previews markdown files with rich rendering including Mermaid diagrams in a browser.
Activate when user says 'preview this markdown', 'render this document', 'open markdown in browser',
'visualize this plan', or 'show mermaid diagram'. Accepts markdown file paths and
content with Mermaid, tables, and code blocks.
---
## Overview
Launches a local markdown preview server that renders documents with full Mermaid diagram support, syntax-highlighted code blocks, and styled tables — opening automatically in the default browser.
## When to Use
- Previewing plan files, architecture docs, or README files with diagrams
- Rendering Mermaid flowcharts, sequence diagrams, or ER diagrams visually
- Sharing a styled document view during presentations or reviews
- Verifying that generated markdown renders correctly before committing
## Don't Use When
- Document has no visual elements and plain text reading is sufficient
- Generating a static HTML export for deployment (use a static site tool)
- The file is not markdown (use appropriate viewer for PDF, DOCX, etc.)
## Steps / Instructions
### 1. Identify the Markdown File
Confirm the file path and check it exists:
```
Target file: /path/to/document.md
```
### 2. Launch the Viewer
Use the markdown-novel-viewer CLI or script:
```bash
# Via npx (no install required):
npx markdown-novel-viewer /path/to/document.md
# With custom port:
npx markdown-novel-viewer /path/to/document.md --port 4200
# Auto-open browser (default behavior):
npx markdown-novel-viewer /path/to/document.md --open
```
Or via the installed package:
```bash
md-viewer /path/to/document.md
```
### 3. Mermaid Diagram Syntax
The viewer renders fenced Mermaid blocks automatically:
````markdown
```mermaid
flowchart TD
A[Start] --> B{Decision}
B -->|Yes| C[Action A]
B -->|No| D[Action B]
C --> E[End]
D --> E
```
````
````markdown
```mermaid
sequenceDiagram
participant User
participant API
participant DB
User->>API: POST /login
API->>DB: SELECT user WHERE email=?
DB-->>API: user record
API-->>User: 200 OK + session token
```
````
````markdown
```mermaid
erDiagram
USER ||--o{ ORDER : places
ORDER ||--|{ LINE_ITEM : contains
PRODUCT ||--o{ LINE_ITEM : included_in
```
````
### 4. Supported Features
| Feature | Syntax |
|---------|--------|
| Mermaid diagrams | ` ```mermaid ` fenced block |
| Syntax highlighting | ` ```typescript `, ` ```python `, etc. |
| Tables | GFM pipe tables |
| Task lists | `- [x]` / `- [ ]` |
| Callouts | `> **Note**`, `> **Warning**` |
| Math (if enabled) | `$inline$` / `$$block$$` |
### 5. Serving Multiple Files
To preview an entire directory (e.g., a plans folder):
```bash
npx markdown-novel-viewer /path/to/plans/ --index
```
This creates a file listing page with links to all `.md` files.
### 6. Integration with Plan Visuals
When generating diagrams as part of planning:
1. Write the markdown with Mermaid blocks to the plan's `visuals/` directory
2. Launch viewer pointing at that file
3. Browser opens automatically for immediate review
```
plans/260216-1304-my-feature/visuals/architecture.md
```
## Notes
- Viewer runs on `localhost:3000` by default; change port if occupied
- File changes hot-reload automatically — edit and see updates instantly
- Mermaid v11 syntax is supported; use ck-mermaidjs-v11 for diagram syntax reference
- Close the viewer with `Ctrl+C` in the terminal when done

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---
name: ck-mcp-builder
description: >
Scaffolds and implements Model Context Protocol (MCP) servers with tools, resources, and prompts.
Activate when user says 'build an MCP server', 'create MCP tools', 'scaffold MCP',
'add MCP integration', or 'expose API as MCP'. Accepts tool definitions,
resource schemas, and target transport (stdio, SSE, HTTP).
---
## Overview
Generates complete MCP server implementations using the official MCP SDK. Covers tool registration, resource endpoints, prompt templates, and transport configuration for Claude Desktop or other MCP clients.
## When to Use
- Exposing custom tools or APIs to Claude via MCP protocol
- Building a server that Claude can use to access databases, APIs, or file systems
- Creating reusable MCP integrations for a team or organization
- Adding MCP support to an existing service
## Don't Use When
- Simple one-off script that doesn't need to be invocable by an LLM
- Task requires an existing MCP server configuration (use ck-mcp-management)
- Building a client that consumes MCP servers (different SDK surface)
## Steps / Instructions
### 1. Initialize Project
```bash
mkdir my-mcp-server && cd my-mcp-server
npm init -y
npm install @modelcontextprotocol/sdk zod
npm install -D typescript @types/node tsx
```
`tsconfig.json`:
```json
{
"compilerOptions": {
"target": "ES2022",
"module": "Node16",
"moduleResolution": "Node16",
"outDir": "./dist",
"strict": true
}
}
```
### 2. Create the Server
```typescript
// src/server.ts
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";
const server = new McpServer({
name: "my-mcp-server",
version: "1.0.0",
});
```
### 3. Register Tools
```typescript
// Simple tool with input schema
server.tool(
"get_weather",
"Get current weather for a city",
{
city: z.string().describe("City name to get weather for"),
units: z.enum(["celsius", "fahrenheit"]).default("celsius"),
},
async ({ city, units }) => {
// implementation
const data = await fetchWeather(city, units);
return {
content: [{ type: "text", text: JSON.stringify(data, null, 2) }],
};
}
);
// Tool that returns multiple content types
server.tool(
"capture_screenshot",
"Take a screenshot of a URL",
{ url: z.string().url() },
async ({ url }) => {
const imageBuffer = await screenshot(url);
return {
content: [
{ type: "text", text: `Screenshot of ${url}` },
{ type: "image", data: imageBuffer.toString("base64"), mimeType: "image/png" },
],
};
}
);
```
### 4. Register Resources
```typescript
// Static resource
server.resource(
"config",
"app://config",
async (uri) => ({
contents: [{
uri: uri.href,
mimeType: "application/json",
text: JSON.stringify({ version: "1.0.0", env: process.env.NODE_ENV }),
}],
})
);
// Dynamic resource with URI template
server.resource(
"user-profile",
new ResourceTemplate("users://{userId}/profile", { list: undefined }),
async (uri, { userId }) => ({
contents: [{
uri: uri.href,
mimeType: "application/json",
text: JSON.stringify(await getUser(userId)),
}],
})
);
```
### 5. Register Prompt Templates
```typescript
server.prompt(
"code-review",
"Generate a code review for a file",
{
filename: z.string(),
focus: z.string().optional().describe("Specific aspect to focus on"),
},
({ filename, focus }) => ({
messages: [{
role: "user",
content: {
type: "text",
text: `Review the code in ${filename}${focus ? ` focusing on ${focus}` : ""}.
Check for: correctness, performance, security, readability.`,
},
}],
})
);
```
### 6. Start the Server
```typescript
// Stdio transport (for Claude Desktop)
async function main() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("MCP server running on stdio");
}
main().catch(console.error);
```
### 7. Configure in Claude Desktop
Add to `~/Library/Application Support/Claude/claude_desktop_config.json`:
```json
{
"mcpServers": {
"my-server": {
"command": "node",
"args": ["/absolute/path/to/dist/server.js"],
"env": {
"API_KEY": "..."
}
}
}
}
```
### 8. Test with MCP Inspector
```bash
npx @modelcontextprotocol/inspector node dist/server.js
```
## Notes
- Use `console.error` for logging — stdout is reserved for the MCP protocol
- Never hardcode secrets; pass via environment variables in the config
- Tool descriptions are critical — the LLM uses them to decide when to call the tool
- Keep tools focused and single-purpose; compose complex behavior at the LLM level
- Zod schemas auto-generate JSON Schema for tool input validation

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---
name: ck-mcp-management
description: Manage MCP servers — discover, analyze, and execute tools, prompts, and resources. Use for MCP integrations, intelligent tool selection, multi-server management, context-efficient capability discovery, MCP client implementation.
---
# ck-mcp-management
Manage and interact with Model Context Protocol (MCP) servers. Discover capabilities, select relevant tools, and execute them without polluting the main context window. Embeds the `mcp-manager` agent role.
## When to Use
- Discovering available tools from configured MCP servers
- Selecting which MCP tools are relevant for a specific task
- Executing MCP tools programmatically
- Building or debugging MCP client implementations
- Keeping main context clean by delegating MCP operations
## Don't Use When
- The required tool is a standard file or code operation — use native tools directly
- MCP servers are not configured in the environment
- Simple tasks that don't require external tool capabilities
## Execution Priority
1. **Gemini CLI** (primary): Check if `gemini` CLI is available; execute via stdin piping
2. **Direct Scripts** (secondary): Use CLI scripts for specific tool/server control
3. **Report Failure**: If both fail, report error with actionable guidance
**IMPORTANT:** Always use stdin piping with Gemini CLI, NOT the `-p` flag (deprecated, skips MCP initialization):
```bash
# Correct
echo "<task description>" | gemini -y -m <model>
# Wrong — skips MCP init
gemini -p "<task description>"
```
## Core Capabilities
### 1. Gemini CLI Execution (Primary)
```bash
# Check availability
command -v gemini >/dev/null 2>&1 || exit 1
# Setup symlink if needed
[ ! -f .gemini/settings.json ] && mkdir -p .gemini && ln -sf $HOME/.claude/.mcp.json .gemini/settings.json
# Execute task
echo "<task description>. Return JSON only per GEMINI.md instructions." | gemini -y -m <model>
```
Expected output (structured JSON):
```json
{"server":"name","tool":"name","success":true,"result":<data>,"error":null}
```
### 2. Script Execution (Fallback)
```bash
# List all available tools (saves to assets/tools.json)
npx tsx scripts/cli.ts list-tools
# Execute a specific tool
npx tsx scripts/cli.ts call-tool <server> <tool> '<json-args>'
```
### 3. Capability Discovery
```bash
npx tsx scripts/cli.ts list-tools # Saves catalog to assets/tools.json
npx tsx scripts/cli.ts list-prompts
npx tsx scripts/cli.ts list-resources
```
## Workflow
1. **Receive task** from main agent
2. **Check Gemini CLI** availability
3. **Execute**:
- Gemini available: `echo "<task>" | gemini -y -m <model>`
- Gemini unavailable: `npx tsx scripts/cli.ts call-tool <server> <tool> <args>`
4. **Report** concise summary back: status, output, artifact paths, any errors
## Configuration
MCP servers configured in `$HOME/.claude/.mcp.json`.
**Gemini CLI integration:** Create symlink so Gemini auto-loads MCP config:
```bash
mkdir -p .gemini && ln -sf $HOME/.claude/.mcp.json .gemini/settings.json
```
**GEMINI.md:** Project root file that Gemini CLI auto-loads, enforcing structured JSON responses. Ensures parseable, consistent output instead of unpredictable natural language.
## Tool Catalog
The `list-tools` command persists a complete catalog to `assets/tools.json` with full schemas. The LLM reads this catalog directly to select relevant tools — better than keyword matching.
## Integration Patterns
- **Pattern 1**: Gemini CLI auto-execution (fastest, automatic tool discovery)
- **Pattern 2**: Direct script execution (manual tool/server specification)
- **Pattern 3**: LLM-driven tool selection from `assets/tools.json` catalog
- **Pattern 4**: Multi-server orchestration across configured servers
## Output Format
```
Method: Gemini CLI / Direct Script
Status: success / failure
Result: [output or artifact paths]
Error: [if any, with actionable guidance]
```
**IMPORTANT:** Sacrifice grammar for concision. List unresolved questions at end if any.

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---
name: ck-media-processing
description: >
Processes audio, video, and images using FFmpeg and ImageMagick pipelines.
Activate when user says 'convert video', 'compress image', 'extract audio',
'resize images in bulk', 'transcode media', or 'process video file'.
Accepts file paths, format targets, quality settings, and filter specifications.
---
## Overview
Builds and executes FFmpeg and ImageMagick commands for media conversion, compression, resizing, format conversion, and pipeline processing of audio, video, and image files.
## When to Use
- Converting between video/audio formats (MP4, WebM, MOV, MP3, AAC, etc.)
- Compressing or optimizing media files for web delivery
- Bulk resizing, cropping, or converting images
- Extracting audio tracks or video frames
- Applying filters, watermarks, or overlays to media
- Generating thumbnails or animated GIFs from video
## Don't Use When
- AI-based image generation is needed (use ck-ai-artist)
- Video needs programmatic composition with React components (use ck-remotion)
- Media editing requires a GUI (recommend appropriate desktop software)
- File is DRM-protected content
## Steps / Instructions
### 1. Identify Task and Tools
| Task | Tool |
|------|------|
| Video conversion/compression | FFmpeg |
| Audio extraction/conversion | FFmpeg |
| Image resize/crop/convert | ImageMagick (`convert`) or FFmpeg |
| Bulk image processing | ImageMagick + shell loop |
| Thumbnails from video | FFmpeg |
| GIF from video clip | FFmpeg |
### 2. FFmpeg — Common Operations
**Convert video format:**
```bash
ffmpeg -i input.mov -c:v libx264 -crf 23 -c:a aac output.mp4
```
**Compress video (reduce file size):**
```bash
# CRF 18-28: lower = better quality, larger file
ffmpeg -i input.mp4 -c:v libx264 -crf 28 -preset slow -c:a aac -b:a 128k output-compressed.mp4
```
**Extract audio:**
```bash
ffmpeg -i video.mp4 -vn -c:a libmp3lame -q:a 2 audio.mp3
```
**Trim video clip:**
```bash
ffmpeg -i input.mp4 -ss 00:01:30 -to 00:02:45 -c copy clip.mp4
```
**Extract frames as images:**
```bash
# 1 frame per second
ffmpeg -i video.mp4 -vf fps=1 frames/frame_%04d.png
# Specific frame at timestamp
ffmpeg -i video.mp4 -ss 00:00:05 -vframes 1 thumbnail.png
```
**Create GIF from video:**
```bash
ffmpeg -i input.mp4 -ss 0 -t 5 -vf "fps=10,scale=480:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" output.gif
```
**WebM for web (VP9):**
```bash
ffmpeg -i input.mp4 -c:v libvpx-vp9 -crf 30 -b:v 0 -c:a libopus output.webm
```
### 3. ImageMagick — Common Operations
**Resize image:**
```bash
convert input.jpg -resize 800x600 output.jpg
# Preserve aspect ratio (fit within box):
convert input.jpg -resize 800x600\> output.jpg
```
**Convert format:**
```bash
convert input.png output.webp
convert input.bmp output.jpg
```
**Compress JPEG:**
```bash
convert input.jpg -quality 80 output.jpg
```
**Bulk resize (all PNGs in directory):**
```bash
for f in *.png; do
convert "$f" -resize 1920x1080\> "resized_$f"
done
```
**Add watermark:**
```bash
convert input.jpg -gravity SouthEast \
\( watermark.png -resize 200x200 \) \
-composite output.jpg
```
**Crop to specific region:**
```bash
# WxH+X+Y
convert input.jpg -crop 400x300+100+50 cropped.jpg
```
### 4. Check Output Quality
After processing:
```bash
# Inspect video metadata
ffprobe -v quiet -print_format json -show_streams output.mp4
# Check image info
identify -verbose output.jpg | grep -E "Geometry|Format|Quality|Filesize"
```
### 5. Batch Processing Script
```bash
#!/bin/bash
INPUT_DIR="./raw"
OUTPUT_DIR="./processed"
mkdir -p "$OUTPUT_DIR"
for f in "$INPUT_DIR"/*.mp4; do
name=$(basename "$f" .mp4)
ffmpeg -i "$f" -c:v libx264 -crf 26 -c:a aac \
"$OUTPUT_DIR/${name}-compressed.mp4"
done
```
## Notes
- Always test on a single file before batch processing
- Keep originals — never overwrite input files in place
- FFmpeg `-c copy` is lossless stream copy (fastest, no re-encode)
- Use `-y` flag to overwrite output without prompting in scripts
- Check available encoders: `ffmpeg -encoders | grep -E "video|audio"`

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---
name: ck-mermaidjs-v11
description: >
Provides Mermaid.js v11 syntax reference for creating diagrams in markdown documents.
Activate when user says 'create a mermaid diagram', 'draw a flowchart', 'sequence diagram',
'ER diagram in mermaid', 'mermaid syntax', or 'diagram as code'. Accepts diagram type
requests and data/relationship descriptions to visualize.
---
## Overview
Reference guide for Mermaid.js v11 diagram syntax. Antigravity IDE supports dot notation natively for diagrams; this skill is most useful when creating Mermaid blocks inside markdown documentation files.
## When to Use
- Writing architecture diagrams in markdown docs or plan files
- Creating flowcharts, sequence diagrams, or ER diagrams in README files
- Generating Mermaid syntax to embed in plan visuals (use with ck-markdown-novel-viewer)
- When dot notation is not sufficient and Mermaid's specific diagram types are needed
## Don't Use When
- Antigravity's native dot notation diagrams suffice for the task
- Creating interactive or animated visualizations (use a JS charting library)
- Diagram needs pixel-perfect layout control (use a GUI tool like draw.io)
## Steps / Instructions
### 1. Flowchart (flowchart / graph)
```mermaid
flowchart TD
A[Start] --> B{Is it working?}
B -->|Yes| C[Great!]
B -->|No| D[Debug]
D --> B
C --> E([End])
```
Node shapes:
```
[Rectangle] (Rounded) {Diamond} ([Stadium])
((Circle)) >Asymmetric] [[Subroutine]] [(Database)]
```
Edge types:
```
--> solid arrow
--- solid line (no arrow)
-.-> dotted arrow
==> thick arrow
--text--> labeled arrow
```
Direction: `TD` (top-down), `LR` (left-right), `BT`, `RL`
### 2. Sequence Diagram
```mermaid
sequenceDiagram
autonumber
actor User
participant FE as Frontend
participant API
participant DB
User->>FE: Click login
FE->>API: POST /auth/login
API->>DB: SELECT user
DB-->>API: user row
API-->>FE: 200 + JWT
FE-->>User: Redirect to dashboard
Note over API,DB: Transaction boundary
rect rgb(200, 230, 255)
API->>DB: Log audit event
end
```
Arrow types:
```
->> solid with arrow
-->> dotted with arrow
-x solid with X (async)
-) open arrow (async)
```
### 3. Entity Relationship Diagram
```mermaid
erDiagram
USER {
int id PK
string email UK
string name
datetime created_at
}
ORDER {
int id PK
int user_id FK
decimal total
string status
}
ORDER_ITEM {
int id PK
int order_id FK
int product_id FK
int quantity
}
USER ||--o{ ORDER : "places"
ORDER ||--|{ ORDER_ITEM : "contains"
```
Cardinality:
```
||--|| exactly one to exactly one
||--o{ exactly one to zero or more
}|--|{ one or more to one or more
```
### 4. Class Diagram
```mermaid
classDiagram
class Animal {
+String name
+int age
+makeSound() void
}
class Dog {
+String breed
+fetch() void
}
class Cat {
+bool indoor
+purr() void
}
Animal <|-- Dog : extends
Animal <|-- Cat : extends
Dog --> Collar : has
```
### 5. State Diagram
```mermaid
stateDiagram-v2
[*] --> Idle
Idle --> Processing : submit
Processing --> Success : complete
Processing --> Error : fail
Error --> Idle : retry
Success --> [*]
state Processing {
[*] --> Validating
Validating --> Executing
Executing --> [*]
}
```
### 6. Gantt Chart
```mermaid
gantt
title Project Timeline
dateFormat YYYY-MM-DD
section Phase 1
Research :done, p1, 2026-02-01, 7d
Planning :active, p2, after p1, 5d
section Phase 2
Implementation : p3, after p2, 14d
Testing : p4, after p3, 7d
```
### 7. Pie Chart
```mermaid
pie title Browser Market Share
"Chrome" : 65.3
"Safari" : 18.7
"Firefox" : 4.0
"Edge" : 4.5
"Other" : 7.5
```
### 8. Git Graph
```mermaid
gitGraph
commit id: "initial"
branch feature
checkout feature
commit id: "add feature"
commit id: "fix bug"
checkout main
merge feature id: "merge feature"
commit id: "release v1.0"
```
## Notes
- Mermaid v11 requires `flowchart` keyword (not `graph`) for new features
- Use `%%` for comments inside diagrams
- Theme can be set: `%%{init: {'theme': 'dark'}}%%`
- Node IDs cannot start with numbers; prefix with a letter
- Long labels: use `\n` for line breaks inside node text

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---
name: ck-mintlify
description: Build and deploy Mintlify documentation sites. Use when creating API docs, developer portals, or knowledge bases with MDX components, OpenAPI integration, and multi-language navigation.
---
# Mintlify Documentation Builder
Transforms Markdown/MDX files into interactive documentation sites with themes, navigation, and AI features.
## When to Use
- Building API documentation or developer portals
- Setting up docs.json configuration and navigation
- Integrating OpenAPI/AsyncAPI specs into docs
- Deploying to GitHub, GitLab, Vercel, or Cloudflare
- Using MDX components (Cards, Steps, Tabs, Accordions, CodeGroup, Callouts)
## Don't Use When
- Building non-documentation websites (use standard web frameworks)
- Simple README files that don't need a hosted site
- Internal wikis better served by Notion or Confluence
## Quick Start
```bash
npm i -g mintlify
mint new # Initialize new docs
mint dev # Local preview on port 3000
mint validate # Validate configuration
```
## Core Concepts
**Configuration:** `docs.json` defines theme, navigation, branding, colors, integrations.
**Themes:** mint, maple, palm, willow, linden, almond, aspen
**Navigation:** Tabs, anchors, groups, dropdowns, products, versions, languages (28+ locales).
**Components:** 26+ built-in: Cards, Steps, Tabs, Accordions, CodeGroup, Callouts, Mermaid, View, Tiles, Tree, Badge, Banner, Tooltips, Panel
## CLI Reference
```bash
mint dev # Local server on port 3000
mint broken-links # Check for broken links
mint a11y # Accessibility audit
mint validate # Validate docs.json config
mint openapi-check # Validate OpenAPI specs
mint rename <old> <new> # Rename file + update refs
mint migrate-mdx # Migrate mint.json to docs.json
```
## Basic docs.json
```json
{
"theme": "mint",
"name": "My Docs",
"colors": { "primary": "#0D9373" },
"navigation": [
{ "group": "Getting Started", "pages": ["introduction", "quickstart"] }
]
}
```
## MDX Page Example
```mdx
---
title: "Getting Started"
description: "Quick introduction"
---
<Note>Important information</Note>
<Steps>
<Step title="Install">Install the package</Step>
<Step title="Configure">Set up config</Step>
</Steps>
```
## Key Features
- **API Docs:** Auto-generate from OpenAPI/AsyncAPI, interactive playgrounds
- **AI:** llms.txt, skill.md, MCP support
- **Analytics:** GA4, PostHog, Amplitude, Clarity, Mixpanel, and more
- **SEO:** Custom metatags, redirects, sitemap
- **Deployment:** Auto-deploy from GitHub/GitLab, preview deployments, custom domains
## Resources
- Official docs: https://mintlify.com/docs
- GitHub: https://github.com/mintlify

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---
name: ck-mobile-development
description: Build mobile apps with React Native, Flutter, Swift/SwiftUI, Kotlin/Jetpack Compose. Use for iOS/Android development, mobile UX patterns, offline-first architecture, and app store deployment.
---
# Mobile Development
Production-ready mobile development across React Native, Flutter, Swift, and Kotlin.
## When to Use
- Building iOS, Android, or cross-platform mobile apps
- Implementing mobile-first UX (offline-first, push notifications, deep linking)
- Making native vs cross-platform framework decisions
- Optimizing battery, memory, network for mobile constraints
- Deploying to App Store or Google Play
## Don't Use When
- Building responsive web apps (use web frameworks instead)
- Desktop applications (use Electron or native desktop frameworks)
- Simple PWAs that don't require native capabilities
## Framework Selection
| Need | Choose |
|------|--------|
| JavaScript team, web code sharing | React Native |
| Performance-critical, complex animations | Flutter |
| Maximum iOS performance, latest features | Swift/SwiftUI |
| Maximum Android performance, Material 3 | Kotlin/Compose |
| Rapid prototyping | React Native + Expo |
| Gaming / heavy graphics | Native or Unity |
## Performance Targets
- Launch: <2s (70% abandon if >3s)
- Memory: <100MB typical screens
- Frame rate: 60 FPS (16.67ms/frame)
- App size: <50MB initial download
- Battery: <5% drain/hour active use
## Architecture Patterns
- **Small-medium apps:** MVVM
- **Enterprise:** MVVM + Clean Architecture
- **State:** Zustand (React Native), Riverpod 3 (Flutter), StateFlow (Android)
- **Sync:** Offline-first with hybrid push/pull
## Security (OWASP Mobile Top 10)
- OAuth 2.0 + JWT + Biometrics for auth
- Keychain (iOS) / KeyStore (Android) for secrets
- Certificate pinning for network security
- Never hardcode credentials or API keys
## Testing Strategy
- Unit tests: 70%+ coverage for business logic
- E2E: Detox (React Native), XCUITest (iOS), Espresso (Android)
- Real device testing mandatory before release
## Platform Guidelines
**iOS (HIG):** Tab bar, navigation bar, San Francisco font, safe areas, haptic feedback
**Android (Material 3):** Bottom nav, FABs, Roboto font, Material You dynamic colors, ripple effects
## Deployment
- Fastlane for automation
- Staged rollouts: Internal → Closed → Open → Production
- CI/CD saves ~20% development time
## Common Pitfalls
1. Testing only on simulators (real devices show true performance)
2. Ignoring platform conventions
3. No offline handling
4. Hardcoded credentials
5. Skipping accessibility (excludes 15%+ of users)
## Resources
- React Native: https://reactnative.dev/
- Flutter: https://flutter.dev/
- iOS HIG: https://developer.apple.com/design/human-interface-guidelines/
- Material Design 3: https://m3.material.io/
- OWASP Mobile: https://owasp.org/www-project-mobile-top-10/

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---
name: ck-orchestration
description: Orchestrate multi-agent workflows with sequential chaining and parallel execution. Use for feature delivery pipelines, research-then-implement flows, parallel independent tasks, subagent coordination, and passing context between agents.
---
# ck-orchestration
Protocols for coordinating multiple ck-* skills as agents in complex workflows. Covers sequential chaining, parallel execution, delegation patterns, and documentation management.
## When to Use
- Coordinating a multi-phase feature delivery (plan → implement → test → review)
- Running independent tasks simultaneously (code + tests + docs in parallel)
- Passing outputs from one agent to the next in a pipeline
- Managing subagent context and report paths
- Deciding when to chain vs. parallelize work
## Don't Use When
- Single-skill tasks that don't need coordination
- Quick fixes or one-off queries — invoke the skill directly
## Reference Documents
| Topic | Reference |
|-------|-----------|
| Sequential chaining patterns | `references/sequential-chaining.md` |
| Parallel execution patterns | `references/parallel-execution.md` |
| Delegation context rules | `references/delegation-context.md` |
| Documentation management | `references/documentation-management.md` |
---
## Sequential Chaining
Chain agents when tasks have dependencies or require outputs from previous steps.
**Standard feature pipeline:**
```
ck-planning → ck-cook → ck-web-testing → ck-code-review
```
**Research-first pipeline:**
```
ck-research → ck-planning → ck-cook → ck-code-review
```
**Debug pipeline:**
```
ck-debug → ck-fix → ck-web-testing → ck-code-review
```
**Rules:**
- Each agent completes fully before the next begins
- Pass the output file path (plan path, report path) as context to the next agent
- Never assume an agent's output — read it explicitly before proceeding
See `references/sequential-chaining.md` for detailed patterns.
---
## Parallel Execution
Dispatch multiple agents simultaneously for independent tasks.
**When to parallelize:**
- Code + Tests + Docs: implementing separate, non-conflicting components
- Multiple feature branches: different agents on isolated features
- Research fan-out: multiple `ck-research` agents on different topics reporting back to `ck-planning`
- Scout coverage: multiple `ck-scout` agents covering different directories
**When NOT to parallelize:**
- Tasks that write to the same files
- Tasks where one depends on output of another
- More than the available system resources can handle
**Coordination rule:** Define integration points before starting parallel execution. Plan how results will be merged.
See `references/parallel-execution.md` for patterns.
---
## Delegation Context (MANDATORY)
When dispatching any subagent via the Manager Surface, always include:
1. **Work Context Path**: The git root or CWD of the PRIMARY files being worked on
2. **Reports Path**: `{work_context}/plans/reports/` for that project
3. **Plans Path**: `{work_context}/plans/` for that project
**Example prompt to subagent:**
```
Fix the parser bug in the auth module.
Work context: /path/to/project
Reports: /path/to/project/plans/reports/
Plans: /path/to/project/plans/
```
**Rule:** If your CWD differs from the work context (e.g., editing files in a different project), use the **work context paths**, not CWD paths.
See `references/delegation-context.md` for full rules.
---
## Skill Activation in Workflows
Each ck-* skill maps to a workflow role:
| Workflow Role | Use Skill |
|---------------|-----------|
| Research | `ck-research` (dispatch multiple in parallel) |
| Codebase scouting | `ck-scout` |
| Planning | `ck-planning` |
| Implementation | `ck-cook` |
| UI/design | `ck-frontend-design` |
| Testing | `ck-web-testing` |
| Code review | `ck-code-review` |
| Debugging | `ck-debug` |
| Bug fixing | `ck-fix` |
| Git operations | `ck-git` |
| Docs update | handled inline per `references/documentation-management.md` |
---
## Documentation Management
Update project docs in `./docs` after:
- Feature implementation
- Bug fixes
- Architecture changes
- Security updates
**Docs to maintain:**
- `./docs/codebase-summary.md` — project structure overview
- `./docs/system-architecture.md` — architecture decisions
- `./docs/code-standards.md` — coding conventions
- `./docs/development-roadmap.md` — phases and milestones
- `./docs/project-changelog.md` — significant changes
See `references/documentation-management.md` for update protocol.
---
## Report Naming Convention
All agents write reports using the pattern from the `## Naming` section injected by `ck-session-guard`:
```
Report: {reports-path}/{agent-type}-{name-pattern}.md
Plan dir: {plans-path}/{name-pattern}/
```
Where `{name-pattern}` is the computed date + optional issue ID + `{slug}` placeholder.
**IMPORTANT:** Sacrifice grammar for concision in reports. List unresolved questions at end if any.

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# Delegation Context Rules
When dispatching any subagent via the Manager Surface, context must be passed explicitly. Subagents do not automatically inherit the parent's working directory or plan state.
## Mandatory Context Fields
Every subagent dispatch MUST include:
| Field | Value | Purpose |
|-------|-------|---------|
| **Work Context Path** | Git root or CWD of primary files | Anchors all relative paths |
| **Reports Path** | `{work_context}/plans/reports/` | Where subagent writes its report |
| **Plans Path** | `{work_context}/plans/` | Where plans are located |
**Example dispatch prompt:**
```
Fix the authentication bug in the login module.
Work context: /home/user/projects/my-app
Reports: /home/user/projects/my-app/plans/reports/
Plans: /home/user/projects/my-app/plans/
```
## CWD vs Work Context
The most common delegation mistake: using your current working directory when the work is in a different project.
**Scenario:** Orchestrator is running from `/home/user/orchestrator/`, editing files in `/home/user/projects/my-app/`.
```
WRONG: Reports → /home/user/orchestrator/plans/reports/
RIGHT: Reports → /home/user/projects/my-app/plans/reports/
```
**Rule:** Always use the **work context paths** (where the files live), not CWD paths.
## Active Plan Passing
If an active plan exists, include it in the subagent dispatch:
```
Implement phase-02 of the authentication plan.
Plan file: /home/user/projects/my-app/plans/260101-1200-auth/phase-02-api.md
Work context: /home/user/projects/my-app
Reports: /home/user/projects/my-app/plans/260101-1200-auth/reports/
Plans: /home/user/projects/my-app/plans/
```
Note: when an active plan exists, reports go to the **plan-specific** reports folder, not the default `plans/reports/`.
## Agent-Type Specific Context
Some agents need additional context beyond the standard fields:
### ck-planning dispatch
```
Research these topics and create an implementation plan.
Research reports available:
- /path/to/reports/researcher-260101-1200-auth-patterns.md
- /path/to/reports/researcher-260101-1200-jwt-tradeoffs.md
Work context: /path/to/project
Reports: /path/to/project/plans/reports/
Plans: /path/to/project/plans/
Naming format: {date}-{slug}
```
### ck-code-review dispatch
```
Review changes from the authentication implementation.
Plan file reviewed: /path/to/plan/phase-02-api.md
Base SHA: abc1234
Head SHA: def5678
Changed files: [list]
Work context: /path/to/project
Reports: /path/to/project/plans/reports/
```
### ck-web-testing dispatch
```
Run the test suite and analyze results.
Recent changes: [list of modified files]
Test commands: npm test, npm run test:coverage
Work context: /path/to/project
Reports: /path/to/project/plans/reports/
```
## Subagent Context Injection (Automatic)
`ck-session-guard` automatically injects a compact context block into every dispatched agent (~200 tokens). This includes plan path, reports path, naming pattern, and core rules.
However, this automatic injection uses the **session's** active plan — not necessarily the plan you want the subagent to work on. Always pass explicit context in the dispatch prompt to override or supplement.
## Naming Pattern Propagation
Subagents must write reports using the naming pattern from their injected `## Naming` section. Never hardcode dates — use the computed pattern:
```
Report: {reports-path}/ck-code-review-{name-pattern}.md
```
Where `{name-pattern}` = computed date + optional issue ID, with `{slug}` as the only remaining placeholder.
## Anti-Patterns
- **Omitting work context**: Subagent defaults to its own CWD, which may be wrong
- **Relative paths**: Always use absolute paths in delegation prompts
- **Assuming plan propagation**: Active plan in session ≠ plan the subagent should use; pass explicitly
- **Stale reports path**: If plan was just created, update reports path to plan-specific folder

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# Documentation Management Protocol
Maintain project documentation in `./docs` after significant changes. Documentation is a living artifact — update it as part of every feature delivery, not as an afterthought.
## When to Update Docs
| Trigger | Documents to Update |
|---------|---------------------|
| Feature implementation complete | `codebase-summary.md`, `system-architecture.md`, `development-roadmap.md`, `project-changelog.md` |
| Bug fix merged | `project-changelog.md` |
| Architecture decision made | `system-architecture.md`, `codebase-summary.md` |
| Security update | `project-changelog.md`, `system-architecture.md` |
| Breaking change | `project-changelog.md`, `code-standards.md` |
| Phase status change | `development-roadmap.md` |
| New code patterns established | `code-standards.md` |
## Documents Maintained
```
./docs/
├── codebase-summary.md — Project structure, key files, module overview
├── system-architecture.md — Architecture decisions, component interactions, data flow
├── code-standards.md — Coding conventions, patterns, anti-patterns
├── development-roadmap.md — Phases, milestones, progress tracking
├── project-changelog.md — Chronological record of significant changes
├── design-guidelines.md — UI/UX design system, tokens, patterns (frontend projects)
└── deployment-guide.md — Deployment procedures, environment config
```
## Update Protocol
### Before Updating
1. Read current state of the document to understand existing content
2. Identify what changed and how it affects each document
3. Check cross-references between documents for consistency
### During Updates
- Maintain version consistency (dates, version numbers)
- Use consistent formatting with the rest of the document
- Add entries chronologically (newest at top for changelogs)
- Keep summaries concise — docs are reference material, not tutorials
### After Updating
- Verify links and cross-references are accurate
- Ensure dates match actual implementation dates
- Confirm progress percentages reflect reality
## Codebase Summary Freshness
`./docs/codebase-summary.md` has a **2-day staleness threshold**:
- If the file is less than 2 days old: read it as-is for project context
- If the file is more than 2 days old or doesn't exist: regenerate using `repomix` command, then update the file
```bash
# Regenerate codebase summary
repomix
# Then summarize repomix-output.xml into docs/codebase-summary.md
```
## Changelog Entry Format
```markdown
## [YYYY-MM-DD] Feature/Fix Title
### Added
- New capability or feature
### Changed
- Modified behavior with before/after context
### Fixed
- Bug description and impact
### Security
- Security improvement or vulnerability addressed
### Breaking Changes
- What broke, migration path
```
## Roadmap Update Format
```markdown
## Phase N: Phase Name — [Status: pending/in-progress/complete]
**Progress:** X%
**Target:** YYYY-MM-DD
**Actual:** YYYY-MM-DD (if complete)
### Milestones
- [x] Completed milestone
- [ ] Pending milestone
### Notes
Any relevant context about blockers or decisions
```
## Finalize Step Integration
Documentation updates are part of the mandatory **Finalize** step in `ck-cook`:
1. Update plan/phase status to complete
2. **Update `./docs` if changes warrant it** ← this step
3. Ask user if they want to commit via `ck-git`
Never skip the docs update step. Even a one-line changelog entry is better than no record.
## Anti-Patterns
- **Docs as afterthought**: Updating docs days after implementation → inaccurate timestamps and forgotten context
- **Over-documenting**: Giant walls of text no one reads → keep entries concise and scannable
- **Stale summaries**: Using a 2-week-old `codebase-summary.md` for project context → regenerate it
- **Missing breaking changes**: Forgetting to document API breaks → surprises for future developers

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# Parallel Execution Patterns
Dispatch multiple agents simultaneously for independent tasks. Maximize throughput when tasks don't share file ownership.
## When to Parallelize
### Research Fan-Out (Most Common)
Dispatch multiple `ck-research` agents simultaneously on different topics, then aggregate into `ck-planning`:
```
ck-planning receives task
│
├──► ck-research: "authentication patterns for FastAPI"
├──► ck-research: "JWT vs session token trade-offs"
└──► ck-research: "OAuth 2.1 PKCE implementation"
│ (all complete)
▼
ck-planning aggregates reports → plan.md
```
**Max parallel research agents:** 3–5 (respects the 5-query max rule per agent)
### Scout Coverage
Divide a large codebase among multiple `ck-scout` agents by directory:
```
ck-scout agent 1: src/features/, src/components/
ck-scout agent 2: src/api/, src/hooks/
ck-scout agent 3: src/utils/, tests/
│ (all complete, timeout 3 min each)
▼
Aggregate into single scout report
```
### Independent Feature Components
When implementing a feature with truly independent parts:
```
ck-cook agent 1: phase-01-database-schema.md (owns: migrations/)
ck-cook agent 2: phase-02-api-endpoints.md (owns: api/)
ck-cook agent 3: phase-03-ui-components.md (owns: components/)
│ (all complete)
▼
Integration phase (sequential)
```
**Prerequisite:** File ownership must be explicitly divided with zero overlap.
### Cross-Platform Development
```
Developer agent 1: iOS-specific implementation
Developer agent 2: Android-specific implementation
│ (both complete)
▼
Shared interface verification (sequential)
```
## Coordination Rules
### Before Parallel Dispatch
1. **Define file ownership**: Which files does each agent exclusively own?
2. **Identify shared resources**: Are there any files both agents might write?
3. **Plan merge strategy**: How will outputs be combined?
4. **Set timeout expectations**: How long should each agent take?
### During Parallel Execution
- Agents work independently — no inter-agent communication
- Each agent writes to its own report path (different filenames)
- No agent reads files being written by another agent
### After Parallel Completion
- Wait for ALL agents to complete before proceeding
- Read all reports before synthesizing
- Resolve any conflicts manually before the next sequential step
## Parallelization Limits
| Scenario | Max Agents | Reason |
|----------|------------|--------|
| Research | 5 | Token budget per agent |
| Scout | 4 | Codebase coverage vs. overlap |
| Implementation phases | 3 | File conflict risk |
| CI/CD verification | Unlimited | Read-only bash commands |
## Anti-Patterns
- **Shared file writes**: Two agents writing the same file causes corruption — assign exclusive ownership
- **Implicit dependencies**: Agent B needs Agent A's output → must be sequential, not parallel
- **Too many agents**: Each agent consumes context window; over-parallelizing causes resource contention
- **No merge plan**: Spawning parallel agents without knowing how to combine results → wasted work

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# Sequential Chaining Patterns
Chain agents when tasks have dependencies or require outputs from previous steps. Each agent completes fully before the next begins.
## Standard Pipelines
### Feature Implementation Pipeline
```
1. ck-research (parallel, multiple topics)
↓ reports saved to plans/reports/
2. ck-planning (reads research reports, creates plan.md)
↓ plan path passed explicitly
3. [/clear context]
↓
4. ck-cook path/to/plan.md --auto
↓ dispatches internally:
├── ck-scout
├── ck-frontend-design (if UI work)
├── ck-web-testing
├── ck-code-review
└── ck-git (on approval)
```
### Debug + Fix Pipeline
```
1. ck-debug (investigate root cause)
↓ debug report with findings
2. ck-fix (implement fix based on findings)
↓ fix applied
3. ck-web-testing (verify fix, check regressions)
↓ test report
4. ck-code-review (review changes)
↓ review complete
5. ck-git (commit and push)
```
### Research + Design Pipeline
```
1. ck-research (technology evaluation)
↓ research report
2. ck-brainstorm (evaluate approaches, choose direction)
↓ brainstorm summary with agreed solution
3. ck-planning (detailed implementation plan)
↓ plan.md created
4. ck-cook (execute plan)
```
## Rules for Sequential Chains
1. **Pass explicit paths** — never assume an agent's output location; read it from the report or plan
2. **Read before proceeding** — always read the output of step N before dispatching step N+1
3. **Complete means complete** — an agent is done when its report is written, not when it stops responding
4. **Context clearing** — after `ck-planning`, clear context (`/clear`) before invoking `ck-cook` to prevent bloated context windows during implementation
## Context Passing Pattern
When dispatching each agent, include the output of all prior steps:
```
Dispatch ck-fix with:
- Debug report: plans/reports/debugger-{pattern}.md
- Plan context: plans/{plan-dir}/
- Work context: /path/to/project
- Reports: /path/to/project/plans/reports/
```
## Chaining Anti-Patterns
- **Skipping steps**: Never skip `ck-web-testing` before `ck-code-review` — tests must pass first
- **Parallel when dependent**: If step B needs step A's output, they cannot run in parallel
- **Assuming completion**: Never proceed to next step based on "seems done" — verify report file exists
- **Ignoring failures**: If any step reports failures, fix before continuing the chain

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---
name: ck-payment-integration
description: Integrate payments with SePay (VietQR), Polar, Stripe, Paddle, or Creem.io. Use for checkout flows, subscription management, webhook handling, QR code payments, and software licensing.
---
# Payment Integration
Production payment processing across SePay, Polar, Stripe, Paddle, and Creem.io.
## When to Use
- Setting up payment gateway checkout or processing
- Building subscription management (trials, upgrades, billing)
- Handling webhooks with idempotency
- Implementing QR code payments (VietQR/NAPAS)
- Software licensing with device activation
- Multi-provider order management
## Don't Use When
- Simple donation buttons (use Ko-fi or Buy Me a Coffee embed)
- Internal transfer tools without customer-facing payments
## Platform Selection
| Platform | Best For |
|----------|----------|
| **SePay** | Vietnamese market, VND, bank transfers, VietQR |
| **Polar** | Global SaaS, subscriptions, automated benefits |
| **Stripe** | Enterprise, Connect platforms, custom checkout |
| **Paddle** | MoR subscriptions, global tax compliance |
| **Creem.io** | MoR + licensing, revenue splits, no-code checkout |
## General Integration Flow
```
auth → products → checkout → webhooks → events
```
## Key Capabilities
| Platform | Rate Limit | Highlights |
|----------|-----------|------------|
| SePay | 2 req/s | QR/bank/cards, 44+ VN banks |
| Polar | 300 req/min | MoR, usage billing, GitHub/Discord benefits |
| Stripe | varies | CheckoutSessions, Billing, Connect, Payment Element |
| Paddle | varies | MoR overlay/inline, Retain churn prevention, tax |
| Creem.io | varies | MoR, device licensing, revenue splits |
## Security Rules
- Store all API keys in environment variables — never hardcode
- Always verify webhook signatures before processing events
- Use idempotency keys for checkout and subscription operations
- Implement proper session token handling for embedded flows
## Reference Files
- `references/sepay.md` - SePay auth, VietQR, webhooks, SDK
- `references/polar.md` - Polar products, checkouts, subscriptions, benefits
- `references/stripe.md` - Stripe best practices, SDKs, CLI, Payment Element
- `references/paddle.md` - Paddle MoR, overlay/inline checkout, subscriptions
- `references/creem.md` - Creem MoR, licensing, no-code checkout, webhooks
- `references/multi-provider.md` - Unified orders, currency conversion patterns
## External Docs
- Stripe: https://docs.stripe.com/llms.txt
- Paddle: https://developer.paddle.com/llms.txt
- Creem: https://docs.creem.io/llms.txt

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---
name: ck-plan
description: Create an intelligent implementation plan with prompt enhancement. Use when planning a feature, designing architecture, starting a new task, or creating a detailed phased implementation roadmap.
---
# Plan — Intelligent Plan Creation
Creates enhanced implementation plans with prompt improvement before planning.
## When to Use
- Starting a new feature or task that needs structured planning
- Designing system architecture with phased implementation
- Creating a roadmap before delegating to implementation agents
## Don't Use When
- Task is trivial and needs no plan (just implement directly)
- An active plan already exists and implementation is underway
## Pre-Creation Check
Check the `## Plan Context` section injected by session hooks:
- **Active plan path shown** → ask user: "Active plan found: {path}. Continue with this? [Y/n]"
- **Suggested path shown** → ask user if they want to activate it or create new
- **"Plan: none"** → proceed to create new plan using naming pattern from `## Naming` section
## Workflow
1. Analyze the task — ask clarifying questions if requirements are unclear
2. Decide complexity: simple task → `ck-plan-fast`; complex task → `ck-plan-hard`
3. Enhance the prompt — expand the task description with full context and details
4. Execute the appropriate planning skill with the enhanced prompt
5. Activate the `planning` skill to structure the plan output
## Planning Modes
| Mode | When to Use |
|------|-------------|
| `ck-plan-fast` | Clear requirements, straightforward implementation, no research needed |
| `ck-plan-hard` | Complex architecture, unclear requirements, needs research |
| `ck-plan-parallel` | Large feature benefiting from parallel execution phases |
## Important Rules
- Do NOT start implementing — planning only
- Sacrifice grammar for concision in plan output
- List unresolved questions at the end of the plan
- Ensure token efficiency while maintaining quality

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---
name: ck-planning
description: Plan feature implementations, design system architectures, create technical roadmaps. Use for implementation planning, system design, solution architecture, phase documentation, evaluating technical trade-offs.
---
# ck-planning
Create detailed technical implementation plans through research, codebase analysis, solution design, and comprehensive documentation. Embeds the `planner` agent role.
## Core Principles
Always honor **YAGNI**, **KISS**, and **DRY**. Be honest, brutal, straight to the point, and concise.
## When to Use
- Planning new feature implementations
- Architecting system designs
- Evaluating technical approaches
- Creating implementation roadmaps
- Breaking down complex requirements
- Assessing technical trade-offs
## Don't Use When
- A plan already exists and just needs execution — use `ck-cook` instead
- The task is trivial and doesn't require multi-phase planning
- You need research only, without creating a full plan — use `ck-research`
## Core Process
### 1. Research & Analysis
Dispatch parallel `ck-research` agents to investigate relevant technical topics. Skip if researcher reports are already provided.
### 2. Codebase Understanding
Search the codebase for relevant files, read docs in `./docs`. Skip if scout reports are already provided.
### 3. Solution Design
Evaluate multiple approaches, apply mental models:
- **Decomposition**: Break the epic into concrete stories
- **Working Backwards**: Start from desired outcome, identify every step
- **Second-Order Thinking**: Ask "And then what?" for hidden consequences
- **The 80/20 Rule**: Identify the 20% of features delivering 80% of value
- **Risk & Dependency Management**: What could go wrong? What does this depend on?
### 4. Plan Creation
Save plans to `./plans` directory using the naming pattern from the `## Naming` section injected by the context system. Pattern includes the full path and computed date.
**Plan directory structure:**
```
plans/
└── {date}-plan-name/
├── research/
├── reports/
├── plan.md
└── phase-XX-phase-name.md
```
**Every `plan.md` must start with YAML frontmatter:**
```yaml
---
title: "{Brief title}"
description: "{One sentence for card preview}"
status: pending
priority: P2
effort: {sum of phases}
branch: {current git branch}
tags: [relevant, tags]
created: {YYYY-MM-DD}
---
```
### 5. Phase Files
Each phase file must contain:
- Context Links
- Overview (priority, status, description)
- Key Insights
- Requirements (functional + non-functional)
- Architecture
- Related Code Files
- Implementation Steps (detailed, numbered)
- Todo List (checkbox)
- Success Criteria
- Risk Assessment
- Security Considerations
- Next Steps
## Active Plan State
Check the `## Plan Context` section in injected context:
- **"Plan: {path}"**: Active plan — ask "Continue with existing plan? [Y/n]"
- **"Suggested: {path}"**: Branch-matched hint — inform user, ask to activate or create new
- **"Plan: none"**: No active plan — create new using `## Naming` pattern
After creating plan folder, update session state so subsequent agents receive correct context.
## Output Requirements
- DO NOT implement code — only create plans
- Respond with plan file path and summary
- Ensure self-contained plans with all necessary context
- Include code snippets/pseudocode when clarifying architecture
- Provide multiple options with trade-offs when appropriate
- Make plans detailed enough for junior developers
**IMPORTANT:** Sacrifice grammar for concision. List unresolved questions at end if any.

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---
name: ck-plans-kanban
description: View plans dashboard with progress tracking and Gantt timeline. Use for kanban boards, plan status overview, phase progress visualization, and milestone tracking across plan directories.
---
# Plans Kanban Dashboard
Visual dashboard for plan directories with progress tracking, Gantt timeline, and activity heatmap.
## When to Use
- Viewing progress across multiple implementation plans
- Tracking phase statuses (completed, in-progress, pending)
- Visualizing plan timelines and activity
- Monitoring milestone completion
## Don't Use When
- Managing individual tasks within a single file (edit the plan.md directly)
- Real-time agent orchestration (not yet supported)
## Installation Required
```bash
cd $HOME/.claude/skills/plans-kanban
npm install # installs gray-matter dependency
```
## Usage
```bash
# Start dashboard for ./plans directory
node $HOME/.claude/skills/plans-kanban/scripts/server.cjs --dir ./plans --open
# Remote access (all interfaces)
node $HOME/.claude/skills/plans-kanban/scripts/server.cjs --dir ./plans --host 0.0.0.0 --open
# Background mode
node $HOME/.claude/skills/plans-kanban/scripts/server.cjs --dir ./plans --background
# Stop all running servers
node $HOME/.claude/skills/plans-kanban/scripts/server.cjs --stop
```
## CLI Options
| Option | Description | Default |
|--------|-------------|---------|
| `--dir <path>` | Plans directory | required |
| `--port <n>` | Server port | 3500 |
| `--host <addr>` | Host to bind | localhost |
| `--open` | Auto-open browser | false |
| `--background` | Run in background | false |
| `--stop` | Stop all servers | - |
## Plan Structure Required
Plans directory must contain subdirectories with `plan.md` files:
```
plans/
├── 251215-feature-a/
│ ├── plan.md # Required - parsed for phases
│ └── phase-01-setup.md
└── 251214-feature-b/
└── plan.md
```
## HTTP Routes
| Route | Description |
|-------|-------------|
| `/` or `/kanban` | Dashboard view |
| `/api/plans` | JSON API for plans data |
## Features
- Plan cards with progress bars
- Phase status breakdown
- Gantt-style timeline
- Activity heatmap
- Issue and branch links
## Troubleshooting
- **Port in use:** Server auto-increments from 3500-3550
- **No plans found:** Ensure directories contain `plan.md` files
- **Remote access denied:** Use `--host 0.0.0.0`
- **Error 500:** Run `npm install` in skill directory first

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---
name: ck-preview
description: Generate visual explanations, diagrams, slides, or ASCII art for any topic. Use when explaining complex code, visualizing architecture, creating presentation slides, or producing terminal-friendly diagrams.
---
# Preview — Visual Generator
Generates visual explanations, diagrams, slides, and ASCII art. Saves output to the active plan's `visuals/` folder.
## When to Use
- Explaining complex code patterns or architecture
- Generating Mermaid diagrams for data flow or system design
- Creating presentation slides for step-by-step walkthroughs
- Producing terminal-friendly ASCII diagrams
## Don't Use When
- Topic is simple enough to explain in plain text
- User wants to view an existing file (read it directly)
## Generation Modes
| Flag | Output |
|------|--------|
| `--explain <topic>` | Visual explanation: ASCII + Mermaid + prose |
| `--slides <topic>` | Presentation: one concept per slide |
| `--diagram <topic>` | Focused diagram: ASCII + Mermaid |
| `--ascii <topic>` | ASCII-only, terminal-friendly |
## Output Location
1. If active plan context exists → save to `{plan_dir}/visuals/{topic-slug}.md`
2. No active plan → save to `plans/visuals/{topic-slug}.md`
3. Create `visuals/` directory if it doesn't exist
**Topic-to-slug:** lowercase, spaces/special chars → hyphens, max 80 chars.
## Templates
### --explain
```markdown
# Visual Explanation: {topic}
## Overview
[Brief description]
## Quick View (ASCII)
[ASCII diagram]
## Detailed Flow
```mermaid
sequenceDiagram
A->>B: Request
B-->>A: Response
```
## Key Concepts
1. **Concept** - Explanation
```
### --slides
```markdown
# {Topic} - Visual Presentation
---
## Slide 1: Introduction
- One concept per slide
---
## Slide 2: The Problem
```mermaid
flowchart TD
A[Problem] --> B[Impact]
```
---
```
### --diagram
```markdown
# Diagram: {topic}
## ASCII Version
[ASCII art]
## Mermaid Version
```mermaid
flowchart TB
A --> B
```
```
### --ascii
```
┌──────────────────────────┐
│ {Topic} Overview │
│ [Input] → [Process] → [Output] │
└──────────────────────────┘
```
## Mermaid Syntax Rules
Use `ck-mermaidjs-v11` skill for v11 syntax. Essential rules:
- Quote node text with special characters: `A["text with /slashes"]`
- Escape brackets in labels: `A["array[0]"]`
## Error Handling
| Error | Action |
|-------|--------|
| Empty topic | Ask user to provide a topic |
| Flag without topic | Ask: "Please provide a topic: `--explain <topic>`" |
| Invalid path | Suggest checking permissions |

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---
name: ck-privacy-guard
description: Blocks access to sensitive files and ignored directories. HARD-GATE on .env files, credentials, secrets, API keys. Also enforces .ckignore directory exclusions. Activates automatically on every file read and directory access attempt.
---
# ck-privacy-guard
Automatic guard that blocks access to sensitive files and ignored directories. Runs on every file read and bash command — never invoked manually.
## When Active
- **Privacy Block**: Fires before any file read (`Read` tool equivalent)
- **Scout Block**: Fires before any file read or directory access command
## Don't Use When
- This is a background guard — never invoke manually
- To intentionally access a sensitive file, follow the approval flow below
---
## HARD-GATE: Sensitive File Access
**Blocked file patterns** (privacy-sensitive):
- `.env`, `.env.*`, `.env.local`, `.env.production`, etc.
- `*.pem`, `*.key`, `*.p12`, `*.pfx` (certificates and private keys)
- `*credentials*`, `*secrets*`, `*token*` (credential files)
- `.npmrc`, `.pypirc` (package registry auth files)
- `id_rsa`, `id_ed25519`, `*.ssh/*` (SSH keys)
- `*.credentials.json`, `service-account*.json` (cloud credentials)
**When a sensitive file is accessed without approval:**
1. The read is BLOCKED immediately (exit code 2)
2. A structured privacy prompt is output containing JSON between `@@PRIVACY_PROMPT_START@@` and `@@PRIVACY_PROMPT_END@@`
3. The AI must parse this JSON and present an approval question to the user
**Approval flow:**
```
AI reads ".env" → BLOCKED
↓
AI asks user via interactive question:
"I need to read '.env' which may contain sensitive data. Do you approve?"
Options: [Yes, approve access] [No, skip this file]
↓
User selects "Yes, approve access"
↓
AI retries: reads the file using bash (cat ".env") — bash is auto-approved
↓
Access granted with notice logged
```
**If user selects "No, skip this file":** Continue without the file.
**Suspicious paths:** If an approved path is outside the project directory, a warning is logged but access is still allowed.
---
## Scout Block: Directory Exclusions
Blocks access to directories listed in `.claude/.ckignore`.
**Default blocked patterns** (gitignore-spec):
- `node_modules/`
- `.git/`
- `dist/`, `build/`, `.next/`
- `*.cache/`
- Any pattern listed in `.ckignore`
**Blocking rules:**
- File paths: blocks any path containing a blocked directory segment
- Bash commands: blocks directory access commands (`cd`, `ls`, `cat`) for blocked dirs
**Allowed despite blocking:**
- Build commands are always allowed: `npm build`, `go build`, `cargo build`, `make`, `mvn`, `gradle`, `docker build`, `kubectl`, `terraform`
- Python venv executables are always allowed
- Negation patterns in `.ckignore` (prefix `!`) re-allow specific paths
**Broad pattern protection:** If a pattern would block too broad a set of paths (e.g., `**` or `/`), a warning is shown with suggestions to use more specific patterns.
---
## Configuration
```json
// $HOME/.claude/.ck.json
{
"hooks": {
"privacy-block": true,
"scout-block": true
}
}
```
```
# .claude/.ckignore — one pattern per line, # for comments
node_modules/
dist/
.next/
# Allow a specific nested path despite parent being blocked
!node_modules/.bin/
```
---
## Security Properties
- **Fail-open**: Invalid JSON input or unexpected errors allow the operation to continue (never silently breaks workflow)
- **Bash bypass intentional**: Bash commands are warned but not blocked for sensitive files — this enables the "Yes → bash cat" approval flow
- **No secret logging**: Blocked file contents are never logged or included in error messages
- **Approval is session-scoped**: Approval prefix (`APPROVED:`) must be supplied explicitly each time — no persistent approval state

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---
name: ck-problem-solving
description: Apply systematic problem-solving techniques when stuck. Use for complexity spirals, innovation blocks, recurring patterns, assumption constraints, simplification cascades, and scale uncertainty.
---
# Problem-Solving Techniques
Systematic approaches for different types of stuck-ness. Each technique targets a specific problem pattern.
## When to Use
- Complexity spiraling: multiple implementations, growing special cases
- Innovation blocks: conventional solutions inadequate
- Recurring patterns: same issue appearing across domains
- Assumption constraints: forced into "only one way"
- Scale uncertainty: production readiness unclear
- General stuck-ness: unsure which approach to take
## Don't Use When
- Problem is straightforward and well-understood
- Simply need more time or information, not a different approach
## Quick Dispatch
| Stuck Symptom | Technique |
|---------------|-----------|
| Same thing implemented 5+ ways, growing special cases | Simplification Cascades |
| Conventional solutions inadequate, need breakthrough | Collision-Zone Thinking |
| Same issue in different places, reinventing wheels | Meta-Pattern Recognition |
| Solution feels forced, "must be done this way" | Inversion Exercise |
| Will this work at production? Edge cases unclear? | Scale Game |
## Core Techniques
### 1. Simplification Cascades
Find one insight eliminating multiple components. "If this is true, we don't need X, Y, Z."
**Key insight:** Everything is a special case of one general pattern.
**Red flag:** "Just need to add one more case..." (repeating forever)
### 2. Collision-Zone Thinking
Force unrelated concepts together. "What if we treated X like Y?"
**Key insight:** Revolutionary ideas emerge from deliberate metaphor-mixing.
**Red flag:** "I've tried everything in this domain"
### 3. Meta-Pattern Recognition
Spot patterns appearing in 3+ domains to find universal principles.
**Key insight:** Patterns in how patterns emerge reveal reusable abstractions.
**Red flag:** "This problem is unique" (probably not)
### 4. Inversion Exercise
Flip core assumptions. "What if the opposite were true?"
**Key insight:** Valid inversions reveal context-dependence of assumed "rules."
**Red flag:** "There's only one way to do this"
### 5. Scale Game
Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths.
**Key insight:** What works at one scale fails at another.
**Red flag:** "Should scale fine" (without testing)
## Application Process
1. Identify stuck-type — match symptom to technique above
2. Apply technique systematically
3. Document insights — record what worked and what failed
4. Combine if needed — some problems need multiple techniques
## Powerful Combinations
- **Simplification + Meta-pattern** — find pattern, then simplify all instances
- **Collision + Inversion** — force metaphor, then invert its assumptions
- **Scale + Simplification** — extremes reveal what to eliminate
- **Meta-pattern + Scale** — universal patterns tested at extremes

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---
name: ck-project-manager
description: Comprehensive project oversight and coordination across plans and agents. Use for tracking implementation progress, consolidating agent reports, updating project roadmap and changelog, and verifying task completeness.
---
# Project Manager
Senior Project Manager and System Orchestrator for project-wide oversight and coordination.
## When to Use
- After multiple agents complete work — consolidate status and next steps
- Tracking implementation progress against plans in `./plans`
- Updating `./docs/project-roadmap.md` after milestones
- Verifying completed tasks meet acceptance criteria
- Generating comprehensive project status reports
## Don't Use When
- Task needs implementation (use `ck-fullstack-developer`)
- Single-agent task with no coordination needed
## Agent Instructions
You are a Senior Project Manager with comprehensive knowledge of all implementation plans in `./plans`.
### Core Responsibilities
**1. Plan Analysis**
- Read all plans in `./plans` — goals, objectives, current status
- Cross-reference completed work against planned tasks
- Identify dependencies, blockers, and critical path items
**2. Progress Tracking**
- Monitor development across all project components
- Track task completion, timeline adherence, resource utilization
- Identify risks, delays, and scope changes
**3. Report Collection**
- Collect implementation reports from all agent reports in `{plan-dir}/reports/`
- Identify patterns, recurring issues, systemic improvements
- Consolidate findings into coherent project status
**4. Task Completeness Verification**
- Verify completed tasks meet acceptance criteria in implementation plans
- Assess code quality, test coverage, documentation completeness
- Validate implementations align with architectural standards
**5. Plan Updates**
- Update plan files with current statuses and completion percentages
- Verify YAML frontmatter exists in all `plan.md` files with: `title`, `description`, `status`, `priority`, `effort`, `branch`, `tags`, `created`
- Update `status` field when plan state changes: `pending → in-progress → completed`
**6. Documentation Updates (MANDATORY)**
Trigger `ck-docs-manager` when:
- Major features completed or modified
- API contracts change
- Architectural decisions impact system design
Always update after significant changes:
- `./docs/project-roadmap.md` — progress percentages, phase statuses, milestone dates
- Add changelog entries for completed features, bug fixes, improvements
### Documentation Update Protocol
1. Read current `./docs/project-roadmap.md`
2. Review all agent reports in `{plan-dir}/reports/`
3. Update roadmap: progress %, phase statuses, milestone completion dates
4. Add changelog entries with semantic versioning
5. Ensure roadmap and changelog are consistent and cross-referenced
### Communication Rules
- Sacrifice grammar for concision in reports
- List unresolved questions at the end
- Highlight critical issues requiring immediate attention
- Ask main agent to complete unfinished plan tasks — emphasize urgency
### Report Output
Save using naming pattern from `## Naming` section injected by session hooks. Include: achievements, testing requirements, next steps, risk assessment.

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---
name: ck-react-best-practices
description: React and Next.js performance optimization from Vercel Engineering. Use when writing, reviewing, or refactoring React components, data fetching, bundle optimization, or fixing performance issues.
---
# React Best Practices (Vercel)
45 prioritized rules across 8 categories for React and Next.js performance.
## When to Use
- Writing new React components or Next.js pages
- Implementing data fetching (client or server-side)
- Reviewing code for performance issues
- Optimizing bundle size or load times
- Refactoring existing React/Next.js code
## Don't Use When
- Working with non-React frameworks (Vue, Svelte, Angular)
- Pure Node.js backend code without React
## Rules by Priority
### 1. Eliminating Waterfalls (CRITICAL)
- `async-defer-await` — move await into branches where actually used
- `async-parallel` — use Promise.all() for independent operations
- `async-dependencies` — use better-all for partial dependencies
- `async-api-routes` — start promises early, await late
- `async-suspense-boundaries` — use Suspense to stream content
### 2. Bundle Size (CRITICAL)
- `bundle-barrel-imports` — import directly, avoid barrel files
- `bundle-dynamic-imports` — use next/dynamic for heavy components
- `bundle-defer-third-party` — load analytics after hydration
- `bundle-conditional` — load modules only when feature activated
- `bundle-preload` — preload on hover/focus for perceived speed
### 3. Server-Side Performance (HIGH)
- `server-cache-react` — use React.cache() for per-request dedup
- `server-cache-lru` — use LRU cache for cross-request caching
- `server-serialization` — minimize data passed to client components
- `server-parallel-fetching` — restructure components to parallelize
- `server-after-nonblocking` — use after() for non-blocking ops
### 4. Client-Side Data Fetching (MEDIUM-HIGH)
- `client-swr-dedup` — use SWR for automatic request deduplication
- `client-event-listeners` — deduplicate global event listeners
### 5. Re-render Optimization (MEDIUM)
- `rerender-defer-reads` — don't subscribe to state only used in callbacks
- `rerender-memo` — extract expensive work into memoized components
- `rerender-dependencies` — use primitive dependencies in effects
- `rerender-derived-state` — subscribe to derived booleans, not raw values
- `rerender-functional-setstate` — use functional setState for stable callbacks
- `rerender-lazy-state-init` — pass function to useState for expensive values
- `rerender-transitions` — use startTransition for non-urgent updates
### 6. Rendering Performance (MEDIUM)
- `rendering-animate-svg-wrapper` — animate div wrapper, not SVG element
- `rendering-content-visibility` — use content-visibility for long lists
- `rendering-hoist-jsx` — extract static JSX outside components
- `rendering-hydration-no-flicker` — use inline script for client-only data
- `rendering-activity` — use Activity component for show/hide
- `rendering-conditional-render` — use ternary, not && for conditionals
### 7. JavaScript Performance (LOW-MEDIUM)
- `js-batch-dom-css` — group CSS changes via classes or cssText
- `js-index-maps` — build Map for repeated lookups
- `js-cache-property-access` — cache object properties in loops
- `js-set-map-lookups` — use Set/Map for O(1) lookups
- `js-early-exit` — return early from functions
- `js-hoist-regexp` — hoist RegExp creation outside loops
### 8. Advanced Patterns (LOW)
- `advanced-event-handler-refs` — store event handlers in refs
- `advanced-use-latest` — useLatest for stable callback refs
## Full Reference
Complete guide with code examples: `AGENTS.md`
Individual rule files: `rules/<rule-name>.md`

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---
name: ck-remotion
description: Create programmatic videos with React using Remotion. Use when building video compositions, animations, captions, charts, audio sync, transitions, or rendering video from code.
---
# Remotion — Video Creation in React
Domain-specific knowledge for building videos programmatically with React.
## When to Use
- Creating video compositions with React components
- Building animations, transitions, and sequencing
- Embedding audio, video, images, GIFs, or Lottie in video
- Generating captions, subtitles, or text animations
- Rendering charts and data visualizations as video
- Working with Three.js 3D content in video
## Don't Use When
- Simple static image exports (use canvas or Puppeteer)
- Live streaming (Remotion is for pre-rendered video)
- Video editing of existing footage without code changes
## Reference Files
Load individual rule files for domain-specific knowledge:
- `rules/animations.md` — fundamental animation skills, interpolation
- `rules/timing.md` — interpolation curves, linear, easing, spring
- `rules/sequencing.md` — delay, trim, limit duration of items
- `rules/trimming.md` — cut beginning or end of animations
- `rules/transitions.md` — scene transition patterns
- `rules/compositions.md` — defining compositions, stills, folders, default props
- `rules/calculate-metadata.md` — dynamically set duration, dimensions, props
- `rules/assets.md` — importing images, videos, audio, fonts
- `rules/audio.md` — audio import, trimming, volume, speed, pitch
- `rules/videos.md` — embedding videos, trimming, looping, pitch
- `rules/images.md` — embedding images with Img component
- `rules/gifs.md` — displaying GIFs synchronized with timeline
- `rules/fonts.md` — loading Google Fonts and local fonts
- `rules/text-animations.md` — typography and text animation patterns
- `rules/display-captions.md` — TikTok-style captions with word highlighting
- `rules/import-srt-captions.md` — importing .srt subtitle files
- `rules/transcribe-captions.md` — transcribing audio to generate captions
- `rules/charts.md` — chart and data visualization patterns
- `rules/lottie.md` — embedding Lottie animations
- `rules/3d.md` — Three.js and React Three Fiber in Remotion
- `rules/tailwind.md` — using TailwindCSS in Remotion
- `rules/measuring-text.md` — measuring text dimensions, fitting to containers
- `rules/measuring-dom-nodes.md` — measuring DOM element dimensions
- `rules/can-decode.md` — check if video can be decoded via Mediabunny
- `rules/extract-frames.md` — extract frames at specific timestamps
- `rules/get-audio-duration.md` — getting audio file duration
- `rules/get-video-duration.md` — getting video file duration
- `rules/get-video-dimensions.md` — getting video width and height

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---
name: ck-repomix
description: Pack repositories into AI-friendly files with Repomix. Use for codebase snapshots, LLM context preparation, security audits, third-party library analysis, and bug investigation across large codebases.
---
# Repomix
Packs entire repositories into single AI-friendly files (XML, Markdown, plain text) for LLM context.
## When to Use
- Packaging a codebase for AI analysis or review
- Preparing repository context for LLM prompts
- Analyzing third-party libraries before adoption
- Running security audits on unknown codebases
- Investigating bugs spanning multiple files
## Don't Use When
- Repository contains secrets that must not be shared (always review output first)
- Codebase exceeds target LLM context limit (use `--include` to filter)
## Quick Start
```bash
# Package current directory (outputs repomix-output.xml)
repomix
# Markdown format
repomix --style markdown
# Remote repository (no clone needed)
npx repomix --remote owner/repo
# Filtered output
repomix --include "src/**/*.ts" --remove-comments -o output.md
```
## Common Workflows
```bash
# AI code review (TypeScript only, no comments)
repomix --include "src/**/*.ts" --remove-comments -o review.md --style markdown
# Security audit of third-party lib
npx repomix --remote vendor/library --style xml -o audit.xml
# Bug investigation (specific modules)
repomix --include "src/auth/**,src/api/**" -o debug-context.xml
# Full codebase for planning
repomix --remove-comments --copy
```
## Output Formats
| Flag | Format | Best For |
|------|--------|---------|
| `--style xml` | XML | Default, Claude/GPT |
| `--style markdown` | Markdown | Readable review |
| `--style json` | JSON | Programmatic use |
| `--style plain` | Plain text | Simple context |
## Key Options
```bash
--include "src/**/*.ts,*.md" # Include patterns
-i "tests/**,*.test.js" # Ignore patterns
--remove-comments # Strip all comments
--copy # Copy to clipboard
-o output.md # Output file path
--no-gitignore # Disable .gitignore rules
--token-count-tree # Show token distribution
--no-security-check # Skip Secretlint checks
```
## Token Management
```bash
# Visualize token distribution
repomix --token-count-tree
# Focus on files >1000 tokens
repomix --token-count-tree 1000
```
Context limits: Claude ~200K tokens, GPT-4 ~128K tokens
## Security
Repomix uses Secretlint to detect API keys, passwords, private keys, AWS secrets.
Best practices:
1. Always review output before sharing
2. Add `.repomixignore` for sensitive files
3. Never package `.env` files
4. Check for hardcoded credentials in output
## Resources
- GitHub: https://github.com/yamadashy/repomix
- Docs: https://repomix.com/guide/

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---
name: ck-research
description: Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability analysis, security research, library documentation.
---
# ck-research
Conduct thorough, systematic research and synthesize findings into actionable technical intelligence. Embeds the `researcher` agent role.
## When to Use
- Evaluating technology choices before committing
- Finding best practices for a specific domain
- Investigating new libraries, frameworks, or tools
- Security vulnerability research
- Performance benchmarking research
- Before planning phases that require external knowledge
## Don't Use When
- The information is already in the local codebase — use `ck-scout` instead
- You need documentation for a specific library version — use `ck-docs-seeker` for that
- Research scope is already complete and planning can begin — use `ck-planning`
## Research Methodology
### Phase 1: Scope Definition
- Identify key terms and concepts to investigate
- Determine recency requirements (how current must information be)
- Establish evaluation criteria for sources
- Set boundaries for research depth
### Phase 2: Systematic Information Gathering
**Search Strategy:**
- Check configuration for Gemini CLI availability; if available, run `gemini` commands in parallel for research queries
- If Gemini unavailable, use web search
- Run multiple searches in parallel for different aspects of the topic
- Craft precise queries with terms like "best practices", "latest", "security", "performance"
- Prioritize official documentation, GitHub repositories, and authoritative blogs
- **Maximum 5 research queries** — think carefully before each one
**Deep Content Analysis:**
- When a potential GitHub repository URL is found, use `ck-docs-seeker` to read it
- Focus on official docs, API references, and technical specifications
- Analyze README files from popular repositories
- Review changelogs and release notes for version-specific information
**Cross-Reference Validation:**
- Verify information across multiple independent sources
- Check publication dates to ensure currency
- Identify consensus vs. controversial approaches
- Note any conflicting information or community debates
### Phase 3: Analysis and Synthesis
- Identify common patterns and best practices
- Evaluate pros and cons of different approaches
- Assess maturity and stability of technologies
- Recognize security implications and performance considerations
- Determine compatibility and integration requirements
### Phase 4: Report Generation
Save report using the `Report:` path from `## Naming` section injected by the context system.
## Report Structure
```markdown
# Research Report: [Topic]
## Executive Summary
[2-3 paragraph overview of key findings and recommendations]
## Key Findings
### 1. Technology Overview
### 2. Current State & Trends
### 3. Best Practices
### 4. Security Considerations
### 5. Performance Insights
## Comparative Analysis
[If applicable]
## Implementation Recommendations
### Quick Start Guide
### Code Examples
### Common Pitfalls
## Resources & References
### Official Documentation
### Recommended Tutorials
### Community Resources
## Appendices
```
## Quality Standards
- **Accuracy**: Verified across multiple sources
- **Currency**: Prioritize information from the last 12 months
- **Completeness**: Cover all aspects requested
- **Actionability**: Provide practical, implementable recommendations
- **Attribution**: Always cite sources
## Special Considerations
- Security topics: Check for recent CVEs and security advisories
- Performance topics: Look for benchmarks and real-world case studies
- New technologies: Assess community adoption and support levels
- APIs: Verify endpoint availability and authentication requirements
- Always note deprecation warnings and migration paths
**IMPORTANT:** Sacrifice grammar for concision. List unresolved questions at end if any.

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---
name: ck-scout
description: Fast codebase scouting using parallel agents. Use for file discovery, task context gathering, quick searches across directories, finding where functionality lives, understanding project structure.
---
# ck-scout
Fast, token-efficient codebase scouting using parallel agents to find files needed for tasks.
## When to Use
- Beginning work on a feature spanning multiple directories
- User mentions needing to "find", "locate", or "search for" files
- Starting a debugging session requiring file relationships understanding
- User asks about project structure or where functionality lives
- Before changes that might affect multiple parts of the codebase
## Don't Use When
- You already know which specific files to read — read them directly
- The codebase is tiny (< 10 files) — just read directly
- You need documentation lookup — use `ck-docs-seeker` instead
## Arguments
- Default: Scout using built-in parallel exploration agents
- `ext`: Scout using external Gemini/OpenCode CLI tools in parallel (for very large codebases)
## Workflow
### 1. Analyze Task
- Parse user prompt for search targets
- Identify key directories, patterns, file types
- Estimate codebase scale to determine number of agents needed
### 2. Divide and Conquer
- Split codebase into logical segments per agent
- Assign each agent specific directories or file patterns
- Ensure no overlap, maximize coverage
### 3. Dispatch Parallel Agents
- Spawn multiple exploration agents simultaneously, each covering distinct directories
- Each agent receives exact directories/patterns to search and returns a detailed summary
- Timeout: 3 minutes per agent (skip non-responders)
**Notes:**
- Each subagent has a limited context window — give precise, bounded search instructions
- Scale number of agents to codebase size and task complexity
### 4. Collect Results
- Aggregate findings into a single report
- List unresolved questions at end
## Report Format
```markdown
# Scout Report
## Relevant Files
- `path/to/file.ts` - Brief description
- ...
## Unresolved Questions
- Any gaps in findings
```
## Integration
`ck-scout` is called by other skills as a prerequisite:
- `ck-code-review` uses it for edge case scouting before review
- `ck-planning` uses it for codebase understanding phase
- `ck-cook` uses it as the first step before planning
- `ck-debug` uses it to locate affected files

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---
name: ck-sequential-thinking
description: Apply step-by-step analysis for complex problems with revision capability. Use for multi-step reasoning, hypothesis verification, adaptive planning, problem decomposition, course correction, debugging with unclear scope.
---
# ck-sequential-thinking
Structured problem-solving via manageable, reflective thought sequences with dynamic adjustment capability.
## When to Use
- Complex problem decomposition where scope is unclear
- Adaptive planning with revision capability
- Analysis needing course correction mid-process
- Problems with unclear or emerging scope
- Multi-step solutions requiring context maintenance across steps
- Hypothesis-driven investigation or debugging
## Don't Use When
- Problem is straightforward with a clear, direct solution
- Quick lookup or simple retrieval task
- Single-step action with no branching needed
## Core Process
### 1. Start with Loose Estimate
```
Thought 1/5: [Initial analysis]
```
Adjust total dynamically as understanding evolves.
### 2. Structure Each Thought
- Build on previous context explicitly
- Address one aspect per thought
- State assumptions, uncertainties, realizations
- Signal what next thought should address
### 3. Apply Dynamic Adjustment
- **Expand**: More complexity discovered → increase total count
- **Contract**: Simpler than expected → decrease total count
- **Revise**: New insight invalidates previous → mark revision
- **Branch**: Multiple approaches → explore alternatives
### 4. Use Revision When Needed
```
Thought 5/8 [REVISION of Thought 2]: [Corrected understanding]
- Original: [What was stated]
- Why revised: [New insight]
- Impact: [What changes]
```
### 5. Branch for Alternatives
```
Thought 4/7 [BRANCH A from Thought 2]: [Approach A]
Thought 4/7 [BRANCH B from Thought 2]: [Approach B]
```
Compare explicitly, converge with decision rationale.
### 6. Generate & Verify Hypotheses
```
Thought 6/9 [HYPOTHESIS]: [Proposed solution]
Thought 7/9 [VERIFICATION]: [Test results]
```
Iterate until hypothesis verified.
### 7. Complete Only When Ready
Mark final: `Thought N/N [FINAL]`
Complete when:
- Solution verified
- All critical aspects addressed
- Confidence achieved
- No outstanding uncertainties
## Application Modes
**Explicit**: Use visible thought markers when complexity warrants visible reasoning or user requests a breakdown.
**Implicit**: Apply methodology internally for routine problem-solving where thinking aids accuracy without cluttering the response.
## Integration
`ck-sequential-thinking` is called by other skills:
- `ck-debug` uses it for complex root cause tracing
- `ck-fix` uses it for deep complexity assessments
- `ck-web-testing` uses it for analyzing test failure patterns

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---
name: ck-session-guard
description: Session lifecycle management — initializes environment context, injects project info into subagents, tracks usage limits, cleans up on session end. Activates automatically at session start, subagent start, and session end.
---
# ck-session-guard
Manages session lifecycle: environment detection at startup, context injection into subagents, usage limit tracking, and clean teardown. This guard runs automatically — it is not manually invoked.
## When Active
- **Session Start**: Fires once per session (startup, resume, `/clear`, compact)
- **Subagent Start**: Fires when any agent is dispatched
- **Session End**: Fires when session ends (clear, compact, user exit)
- **Usage Tracking**: Fires on each user prompt and periodically on tool use
## Don't Use When
- This is a background guard — never invoke manually
- If session context appears stale, use `/clear` to reset
---
## Session Start Behavior
Detects and injects into the session environment:
**Project Detection:**
- Project type (Node.js, Python, Go, etc.)
- Package manager (npm, yarn, pnpm, bun)
- Framework (Next.js, NestJS, FastAPI, etc.)
- Git branch, remote URL, and root directory
**Plan Resolution:**
- Active plan: explicitly set via session state — used for report paths
- Suggested plan: branch-matched hint — shown to user, NOT auto-activated
- No plan: create new using `## Naming` pattern
**Environment Variables set:**
- `CK_SESSION_ID`, `CK_ACTIVE_PLAN`, `CK_SUGGESTED_PLAN`
- `CK_REPORTS_PATH`, `CK_PLANS_PATH`, `CK_DOCS_PATH`
- `CK_GIT_BRANCH`, `CK_GIT_ROOT`, `CK_PROJECT_TYPE`
- `CK_NAME_PATTERN` — computed naming pattern for reports/plans
**Coding Level Guidelines:** If configured (levels 0–5), injects response format guidelines for output depth and style.
**User Assertions:** If configured, injects custom user rules into session context.
**Post-Compact Warning:** When session was compacted, injects a reminder:
> "Context was compacted. If you were waiting for user approval via an interactive question (e.g., a review gate), you MUST re-confirm with the user before proceeding. Do NOT assume approval was given."
---
## Subagent Start Behavior
Injects a compact context block (~200 tokens) into every dispatched agent:
```
## Subagent: {agent-type}
ID: {id} | CWD: {cwd}
## Context
- Plan: {active-plan or none}
- Reports: {reports-path}
- Paths: {plans-path}/ | {docs-path}/
## Rules
- Reports → {reports-path}
- YAGNI / KISS / DRY
- Concise, list unresolved Qs at end
- Python scripts in .claude/skills/: Use `{venv-path}`
- Never use global pip install
## Naming
- Report: {reports-path}/{agent-type}-{name-pattern}.md
- Plan dir: {plans-path}/{name-pattern}/
```
**Monorepo support:** Uses the subagent's own CWD (not process CWD) for path resolution, enabling subdirectory workflows.
---
## Session End Behavior
On `/clear`: Deletes the compact marker file to reset the context baseline for the next session. Ensures a clean slate without stale state from the previous session.
---
## Usage Tracking Behavior
Fetches Claude usage limits from the Anthropic OAuth API and writes to a local cache file (`/tmp/ck-usage-limits-cache.json`).
- Throttled: 1-minute intervals on user prompts; 5-minute intervals on tool use
- Cross-platform credential retrieval: macOS Keychain, or file-based at `~/.claude/.credentials.json`
- Cache TTL: 60 seconds
- Fails silently — never blocks the session
---
## Skill Dedup (Reference Only)
Originally designed to prevent local project skills from shadowing global versions. **Disabled** due to race conditions with parallel sessions. Any orphaned `.claude/skills/.shadowed/` directories are automatically restored at session start.
---
## Configuration
All behavior configurable in `$HOME/.claude/.ck.json`:
```json
{
"hooks": {
"session-init": true,
"subagent-init": true,
"session-end": true,
"usage-context-awareness": true
},
"codingLevel": 5,
"plan": {
"namingFormat": "{date}-{slug}",
"reportsDir": "plans/reports"
}
}
```

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---
name: ck-shader
description: Write GLSL fragment shaders for procedural graphics. Use for generative art, procedural textures, visual effects, WebGL shaders, Three.js materials, shapes (SDF), noise, patterns, and animations.
---
# GLSL Fragment Shaders
GPU-accelerated fragment shaders for procedural graphics, textures, and visual effects.
## When to Use
- Creating procedural textures (wood, marble, clouds, terrain)
- Drawing shapes with signed distance fields (SDF)
- Generating patterns, noise, gradients, animations
- Writing custom shaders for Three.js, WebGL, Processing, ShaderToy
## Don't Use When
- Simple CSS animations suffice
- Image manipulation that doesn't need GPU parallelism
## Core Concepts
Each thread receives pixel position via `gl_FragCoord`, returns color via `gl_FragColor` (vec4 RGBA 0.0–1.0). Threads cannot communicate — fully stateless.
## Standard Uniforms
```glsl
uniform float u_time; // Elapsed seconds
uniform vec2 u_resolution; // Canvas size (width, height)
uniform vec2 u_mouse; // Mouse position in pixels
```
Normalize coordinates: `vec2 st = gl_FragCoord.xy / u_resolution;`
## Essential Functions
| Function | Purpose |
|----------|---------|
| `mix(a,b,t)` | Linear interpolate |
| `step(edge,x)` | Hard threshold |
| `smoothstep(e0,e1,x)` | Smooth threshold |
| `fract(x)` | Fractional part (tiling) |
| `length(v)` | Vector magnitude |
| `distance(a,b)` | Euclidean distance |
| `atan(y,x)` | Angle in radians |
| `sin/cos/pow/abs` | Math (hardware-accelerated) |
## Quick Patterns
```glsl
// Circle
float d = distance(st, vec2(0.5));
float circle = 1.0 - smoothstep(0.2, 0.21, d);
// Rectangle
vec2 bl = step(vec2(0.1), st);
vec2 tr = step(vec2(0.1), 1.0 - st);
float rect = bl.x * bl.y * tr.x * tr.y;
// Tiling
st = fract(st * 4.0); // 4x4 grid
// Animation
float wave = sin(st.x * 10.0 + u_time) * 0.5 + 0.5;
```
## Reference Files (Progressive Disclosure)
**Fundamentals:**
- `references/glsl-fundamentals-data-types-vectors-precision-coordinates.md`
- `references/glsl-shaping-functions-step-smoothstep-curves-interpolation.md`
**Drawing:**
- `references/glsl-colors-rgb-hsb-gradients-mixing-color-spaces.md`
- `references/glsl-shapes-sdf-circles-rectangles-polar-distance-fields.md`
- `references/glsl-shapes-polygon-star-polar-sdf-combinations.md`
**Procedural:**
- `references/glsl-patterns-tiling-fract-matrices-transformations.md`
- `references/glsl-noise-random-perlin-simplex-cellular-voronoi.md`
- `references/glsl-fbm-fractional-brownian-motion-turbulence-octaves.md`
- `references/glsl-procedural-textures-clouds-marble-wood-terrain.md`
**API Reference:**
- `references/glsl-shader-builtin-functions-complete-api-reference.md`
## Tools
- **Online editor:** editor.thebookofshaders.com
- **glslViewer:** CLI tool for running `.frag` files
- **ShaderToy:** iTime, iResolution, iMouse uniforms
- **LYGIA Library:** https://lygia.xyz (reusable shader functions)
## Resources
- The Book of Shaders: https://thebookofshaders.com
- Inigo Quilez Articles: https://iquilezles.org/articles/
- ShaderToy: https://shadertoy.com

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---
name: ck-shopify
description: Build Shopify apps, extensions, and themes with Shopify CLI. Use for GraphQL/REST Admin API, Polaris UI components, Liquid templates, checkout customization, webhooks, and billing integration.
---
# Shopify Development
Build Shopify apps, extensions, and themes for the Shopify platform.
## When to Use
- Building Shopify apps (OAuth, Admin API, webhooks, billing)
- Creating checkout UI, admin, or POS extensions
- Developing Liquid-based themes
- Integrating with GraphQL Admin API
- Setting up Shopify CLI workflows
## Don't Use When
- Building for non-Shopify e-commerce platforms
- Simple storefront customizations that don't need an app or extension
## Quick Start
```bash
npm install -g @shopify/cli@latest
# App development
shopify app init
shopify app dev # Starts local server with tunnel
shopify app deploy
# Theme development
shopify theme init
shopify theme dev # Preview at localhost:9292
shopify theme push --development
```
## Build Decision Guide
| Build | When |
|-------|------|
| **App** | External service integration, multi-store functionality, complex logic, charging for features |
| **Extension** | Customize checkout, extend admin pages, POS actions, discount/shipping rules |
| **Theme** | Custom storefront design, brand-specific layouts, product/collection pages |
## Essential Patterns
**GraphQL Product Query:**
```graphql
query GetProducts($first: Int!) {
products(first: $first) {
edges {
node { id title handle variants(first: 5) { edges { node { id price } } } }
}
pageInfo { hasNextPage endCursor }
}
}
```
**Checkout Extension (React):**
```javascript
import { reactExtension, BlockStack, TextField } from '@shopify/ui-extensions-react/checkout';
export default reactExtension('purchase.checkout.block.render', () => <Extension />);
```
**Liquid Product Display:**
```liquid
{% for product in collection.products %}
<h3>{{ product.title }}</h3>
<p>{{ product.price | money }}</p>
{% endfor %}
```
## Best Practices
- Prefer GraphQL over REST for new development
- Store API credentials in environment variables — never hardcode
- Verify webhook HMAC signatures before processing
- Request minimal OAuth scopes
- Use bulk operations for large datasets
- Implement exponential backoff for rate limit errors
## Reference Files
- `references/app-development.md` — OAuth, APIs, webhooks, billing
- `references/extensions.md` — Checkout, Admin, POS, Functions
- `references/themes.md` — Liquid, sections, deployment
## Resources
- Shopify Dev Docs: https://shopify.dev/docs
- GraphQL API: https://shopify.dev/docs/api/admin-graphql
- Polaris: https://polaris.shopify.com
- Current API version: 2025-01

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---
name: ck-skill-creator
description: Create or update Antigravity-format skills. Use for new skills, skill references, skill scripts, optimizing existing skills, and extending capabilities with SKILL.md, references/, and scripts/.
---
# Skill Creator (Antigravity Format)
Guidance for creating effective skills in Antigravity format.
## When to Use
- Creating a new skill from scratch
- Updating or optimizing an existing skill
- Adding reference files or scripts to a skill
- Converting skills from other formats to Antigravity
## Don't Use When
- Task is better handled by writing a one-off script (not reused)
- Knowledge is project-specific and not reusable across projects
## Antigravity Skill Format
### SKILL.md Structure
```
skills/
└── skill-name/
├── SKILL.md # Required: frontmatter + instructions
├── references/ # Markdown docs loaded as needed
├── scripts/ # Executable code (Node/Python)
└── assets/ # Templates, images, fonts
```
### Frontmatter Rules (CRITICAL)
```yaml
---
name: ck-skill-name # ck- prefix, colons → hyphens
description: > # ≥3 trigger phrases, under 200 chars
What it does. Use for X, Y, Z. Triggers on A, B, C tasks.
---
```
- **ONLY** `name` and `description` in frontmatter — no version, license, model
- Add `ck-` prefix to all skill names
- Replace `:` in names with `-` (e.g., `plan:fast` → `ck-plan-fast`)
### SKILL.md Body Rules
- Under 200 lines
- Must include **"Don't Use When"** section
- Description must contain ≥3 trigger phrases
- Replace CK tool names (Task tool, AskUserQuestion) with generic prose
- Use imperative/verb-first instructions throughout
## Creation Process
1. **Understand the skill** — what tasks trigger it, what knowledge it provides
2. **Write SKILL.md** — frontmatter + core instructions under 200 lines
3. **Add references/** — detailed docs split into <150 line files each
4. **Add scripts/** — reusable executable code with tests
5. **Validate** — check description has ≥3 triggers, "Don't Use When" exists, under 200 lines
## Progressive Disclosure
Three-level loading system:
1. **Description** (always in context) — triggers activation
2. **SKILL.md body** (when triggered) — core instructions
3. **references/ and scripts/** (loaded as needed) — detailed knowledge
Keep SKILL.md lean. Move detailed examples, schemas, and API docs to `references/`.
## Quality Checklist
- [ ] Frontmatter has only `name` + `description`
- [ ] Name has `ck-` prefix
- [ ] Description ≥3 trigger phrases, under 200 chars
- [ ] "Don't Use When" section present
- [ ] SKILL.md under 200 lines
- [ ] No CK-specific tool names (use generic prose)
- [ ] Reference files each under 150 lines
- [ ] Scripts have tests and work cross-platform

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---
name: ck-system
description: Meta-loader and universal entry point for the ClaudeKit guard system. References all four guards, provides system-wide activation rules, and serves as the single source of truth for guard configuration. Load this skill to understand the full guard landscape.
---
# ck-system
Meta-skill that describes and coordinates the four automatic guard skills. This skill is documentation — the guards themselves activate automatically based on hook events, not manual invocation.
## Guard Registry
The ClaudeKit guard system consists of four skills that fire automatically:
| Guard | Triggers | Purpose |
|-------|----------|---------|
| `ck-session-guard` | Session start/end, subagent start, prompt | Environment setup, context injection, usage tracking |
| `ck-privacy-guard` | Every file read, every bash command | Block sensitive files, enforce directory exclusions |
| `ck-code-quality-guard` | After file edits, every prompt, before file creation | Simplify reminder, dev rules injection, naming enforcement |
| `ck-context-guard` | After plan agent completes, before file creation | Cook-after-plan reminder, naming guidance |
## Universal Activation Rules
All guards share these properties:
1. **Fail-open**: Any guard error allows the operation to continue — guards never break the workflow
2. **Individually disableable**: Each guard can be disabled in `$HOME/.claude/.ck.json`
3. **Idempotent**: Guards are designed to be safe to fire multiple times
4. **Non-blocking** (except privacy): All guards use exit code 0 (allow) except `ck-privacy-guard` which uses exit code 2 (block) for sensitive files
## Hook Event Map
```
SessionStart → ck-session-guard (environment init)
SubagentStart → ck-session-guard (context injection)
SessionEnd → ck-session-guard (cleanup)
UserPromptSubmit → ck-session-guard (usage tracking)
ck-code-quality-guard (dev rules reminder)
PostToolUse → ck-session-guard (usage tracking)
ck-code-quality-guard (simplify reminder, after edit)
PreToolUse → ck-privacy-guard (file read block)
ck-privacy-guard (bash command block)
ck-code-quality-guard (naming guidance, before write)
ck-context-guard (naming guidance, before write)
SubagentStop → ck-context-guard (cook-after-plan reminder)
PreCompact → ck-code-quality-guard (compact marker write)
```
## Master Configuration
```json
// $HOME/.claude/.ck.json
{
"hooks": {
// ck-session-guard
"session-init": true,
"subagent-init": true,
"session-end": true,
"usage-context-awareness": true,
// ck-privacy-guard
"privacy-block": true,
"scout-block": true,
// ck-code-quality-guard
"post-edit-simplify-reminder": true,
"dev-rules-reminder": true,
"write-compact-marker": true,
"skill-dedup": false,
// ck-context-guard
"cook-after-plan-reminder": true,
"descriptive-name": true
},
"codingLevel": 5,
"plan": {
"namingFormat": "{date}-{slug}",
"dateFormat": "YYMMDD-HHmm",
"reportsDir": "plans/reports"
},
"paths": {
"plans": "plans",
"docs": "docs"
}
}
```
## Guard Interaction Diagram
```
User sends prompt
│
├─► ck-session-guard (usage tracking)
├─► ck-code-quality-guard (dev rules injected)
│
▼
AI processes prompt
│
├─► [reads file] ──► ck-privacy-guard (block or allow)
├─► [writes file] ──► ck-code-quality-guard (naming guidance)
│ └──► ck-context-guard (naming guidance)
├─► [edits file] ──► ck-code-quality-guard (simplify reminder)
│
├─► [dispatches agent] ──► ck-session-guard (context injection)
│
└─► [plan agent completes] ──► ck-context-guard (cook reminder)
```
## Skill Discovery
All ck-* skills are located at:
- Global: `$HOME/.claude/skills/ck-*/SKILL.md`
- Project-local: `.claude/skills/ck-*/SKILL.md`
Project-local skills take priority over global skills (unless skill-dedup is enabled, which reverses priority).
## Quick Reference
| Want to... | Use |
|------------|-----|
| Implement a feature end-to-end | `ck-cook` |
| Plan only (no implementation) | `ck-planning` |
| Fix a bug | `ck-fix` or `ck-fixing` |
| Brainstorm approaches | `ck-brainstorm` |
| Review code | `ck-code-review` |
| Debug an issue | `ck-debug` |
| Find files in codebase | `ck-scout` |
| Research a technology | `ck-research` |
| Look up library docs | `ck-docs-seeker` |
| Commit and push | `ck-git` |
| Understand a complex problem | `ck-sequential-thinking` |
| Build frontend UI | `ck-frontend-design` or `ck-frontend-development` |
| Build backend API | `ck-backend-development` |
| Run tests | `ck-web-testing` |
| Deploy infrastructure | `ck-devops` |
| Work with databases | `ck-databases` |
| Use MCP tools | `ck-mcp-management` |
| Build with Next.js/Turborepo | `ck-web-frameworks` |

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---
name: ck-template-skill
description: Starter template for new Antigravity skills. Use as a scaffold when creating a new skill, copying skill structure, or understanding the required SKILL.md format.
---
# Template Skill
Minimal scaffold demonstrating Antigravity skill structure.
## When to Use
- Starting a new skill from scratch
- Referencing correct SKILL.md format and structure
## Don't Use When
- A more specific skill already covers the task
- Task is one-off and not worth packaging as a reusable skill
## Instructions
Replace this section with actual skill instructions.
- Describe the primary workflow
- List key steps in imperative form
- Reference any `references/` or `scripts/` files
## Reference Files
- `references/example.md` — replace with actual reference docs
## Resources
- Add links to official documentation here

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---
name: ck-test
description: Run tests locally and analyze the summary report. Use when running unit tests, integration tests, checking test failures, or validating that code changes don't break existing test suites.
---
# Test — Run and Analyze Tests
Runs the project's test suite and analyzes results.
## When to Use
- Running tests after implementing a feature
- Checking if existing tests pass after a code change
- Analyzing test failures and understanding what broke
- Validating a fix resolved a failing test
## Don't Use When
- Task requires implementing new tests (implement first, then run)
- CI/CD pipeline already handles automated testing
## Execution
Delegate to the `tester` sub-process to run tests locally and analyze the summary report:
1. Detect the test runner from the project (Jest, Vitest, pytest, Go test, etc.)
2. Run the full test suite
3. Analyze failures — identify root cause for each failing test
4. Report: total tests, passed, failed, skipped, coverage if available
## Important Rules
- Do NOT start implementing fixes — analyze and report only
- Do NOT ignore failing tests just to pass the build
- Do NOT use fake data, mocks, or temporary solutions to force tests to pass
- Activate relevant skills from the skills catalog as needed during analysis
## Report Format
```
## Test Results
- Total: X | Passed: X | Failed: X | Skipped: X
- Coverage: X% (if available)
## Failing Tests
### test-name
- File: path/to/test.ts:line
- Error: [error message]
- Likely cause: [brief analysis]
## Recommendations
- [Actionable fix for each failure]
```

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---
name: ck-threejs
description: Build 3D web apps with Three.js (WebGL/WebGPU). Use for 3D scenes, GLTF model loading, animations, physics, VR/XR experiences, particle effects, custom shaders, post-processing, and compute shaders.
---
# Three.js Development
High-performance 3D web applications using Three.js with 556 searchable examples, 60 API classes, and 20 use-case templates.
## When to Use
- Building 3D scenes, games, or data visualizations
- Loading 3D models (GLTF, FBX, OBJ)
- Implementing animations, physics, or VR/AR (WebXR)
- Creating particle effects or custom GLSL shaders
- Optimizing WebGL/WebGPU rendering performance
## Don't Use When
- Simple CSS/SVG animations suffice
- 2D canvas work without 3D requirements (use plain Canvas API)
## Search Examples and API
```bash
python3 $HOME/.claude/skills/threejs/scripts/search.py "<query>" [--domain <domain>] [-n <max>]
# Examples
python3 $HOME/.claude/skills/threejs/scripts/search.py "particle compute webgpu"
python3 $HOME/.claude/skills/threejs/scripts/search.py "camera" --domain api
python3 $HOME/.claude/skills/threejs/scripts/search.py "product configurator" --use-case
python3 $HOME/.claude/skills/threejs/scripts/search.py --category webgpu -n 10
```
**Domains:** `examples` (code), `api` (classes), `use-cases` (project types), `categories` (browse)
## Quick Start
```javascript
const scene = new THREE.Scene();
const camera = new THREE.PerspectiveCamera(75, window.innerWidth/window.innerHeight, 0.1, 1000);
const renderer = new THREE.WebGLRenderer({ antialias: true });
renderer.setSize(window.innerWidth, window.innerHeight);
document.body.appendChild(renderer.domElement);
scene.add(new THREE.AmbientLight(0x404040));
const dirLight = new THREE.DirectionalLight(0xffffff, 1);
dirLight.position.set(5, 5, 5);
scene.add(dirLight);
import { GLTFLoader } from 'three/addons/loaders/GLTFLoader.js';
new GLTFLoader().load('model.glb', (gltf) => scene.add(gltf.scene));
function animate() { requestAnimationFrame(animate); renderer.render(scene, camera); }
animate();
```
## Common Use Cases
| Use Case | Key Tools | Complexity |
|----------|-----------|------------|
| Product Configurator | GLTF, PBR, EnvMaps | Medium |
| Game Development | Animation, Physics, Controls | High |
| Data Visualization | BufferGeometry, Points | Medium |
| 360 Panorama | Equirectangular, WebXR | Low |
| Architectural Viz | GLTF, HDR, CSM Shadows | High |
## Progressive Reference Files
- `references/00-fundamentals.md` — core concepts, scene graph
- `references/01-getting-started.md` — setup, basic rendering
- `references/02-loaders.md` — GLTF, FBX, OBJ loaders
- `references/03-textures.md` — texture types, mapping
- `references/04-cameras.md` — camera types, controls
- `references/05-lights.md` — light types, shadows
- `references/06-animations.md` — AnimationMixer, clips
- `references/08-interaction.md` — raycasting, picking
- `references/09-postprocessing.md` — bloom, SSAO, SSR
- `references/11-materials.md` — PBR, standard materials
- `references/12-performance.md` — instancing, LOD, batching
- `references/13-node-materials.md` — TSL shader graphs
- `references/14-physics-vr.md` — physics, WebXR
- `references/16-webgpu.md` — WebGPU, compute shaders
- `references/17-shader.md` — custom GLSL shaders
## Resources
- Docs: https://threejs.org/docs/
- Examples: https://threejs.org/examples/
- Discord: https://discord.gg/56GBJwAnUS

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---
name: ck-ui-styling
description: Style UIs with shadcn/ui (Radix UI + Tailwind CSS). Use for accessible components, dark mode, responsive layouts, design systems, color customization, forms with validation, and theme configuration.
---
# UI Styling
Beautiful, accessible UIs combining shadcn/ui components with Tailwind CSS utility styling.
## When to Use
- Building UI with React-based frameworks (Next.js, Vite, Remix, Astro)
- Implementing accessible components (dialogs, forms, tables, navigation)
- Creating responsive, mobile-first layouts
- Implementing dark mode and theme customization
- Building design systems with consistent tokens
## Don't Use When
- Non-React projects (Vue, Svelte — use framework-native UI libs)
- Simple static HTML without a build tool
- Projects already committed to a different component library
## Quick Start
```bash
# Initialize shadcn/ui with Tailwind
npx shadcn@latest init
# Add components
npx shadcn@latest add button card dialog form table
```
## Core Stack
| Layer | Tool | Purpose |
|-------|------|---------|
| Components | shadcn/ui (Radix UI) | Accessible, copy-paste primitives |
| Styling | Tailwind CSS | Utility-first, mobile-first |
| Types | TypeScript | Full type safety |
## Usage Example
```tsx
import { Button } from "@/components/ui/button"
import { Card, CardHeader, CardTitle, CardContent } from "@/components/ui/card"
export function Dashboard() {
return (
<div className="container mx-auto p-6 grid gap-6 md:grid-cols-2 lg:grid-cols-3">
<Card className="hover:shadow-lg transition-shadow">
<CardHeader>
<CardTitle className="text-2xl font-bold">Analytics</CardTitle>
</CardHeader>
<CardContent>
<Button variant="default" className="w-full">View Details</Button>
</CardContent>
</Card>
</div>
)
}
```
## Tailwind-Only Setup (Vite)
```bash
npm install -D tailwindcss @tailwindcss/vite
```
```css
/* src/index.css */
@import "tailwindcss";
```
## Reference Files
- `references/shadcn-components.md` — complete component catalog with usage patterns
- `references/shadcn-theming.md` — dark mode, CSS variables, color customization
- `references/shadcn-accessibility.md` — ARIA patterns, keyboard nav, focus management
- `references/tailwind-utilities.md` — layout, spacing, typography, colors
- `references/tailwind-responsive.md` — breakpoints, mobile-first, container queries
- `references/tailwind-customization.md` — @theme, custom tokens, plugins, layers
## Best Practices
1. Use Tailwind classes directly; extract components only for true repetition
2. Mobile-first: start with mobile styles, layer responsive variants
3. Leverage Radix UI primitives for accessible focus states and keyboard nav
4. Use CSS variable system for dark mode consistency
5. Never use dynamic class names — Tailwind's purge won't detect them
## Resources
- shadcn/ui: https://ui.shadcn.com
- Tailwind CSS: https://tailwindcss.com
- Radix UI: https://radix-ui.com
- shadcn/ui LLM docs: https://ui.shadcn.com/llms.txt

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---
name: ck-ui-ux-pro-max
description: UI/UX design intelligence with 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks. Use when building, designing, reviewing, or improving websites, dashboards, landing pages, or mobile app UI.
---
# UI/UX Pro Max
Comprehensive design guide: 50+ styles, 97 color palettes, 57 font pairings, 99 UX guidelines, 25 chart types across 9 stacks.
## When to Use
- Designing new UI components, pages, or full products
- Choosing color palettes and typography pairings
- Reviewing code for UX issues or accessibility
- Building landing pages, dashboards, e-commerce, SaaS, portfolios
- Implementing glassmorphism, brutalism, neumorphism, bento grid, dark mode
## Don't Use When
- Pure backend work with no UI concerns
- Already have a finalized design system — implement directly
## Workflow
### Step 1: Analyze Requirements
Extract: product type (SaaS/e-commerce/portfolio), style keywords, industry, tech stack (default: `html-tailwind`)
### Step 2: Generate Design System (Always First)
```bash
python3 $HOME/.claude/skills/ui-ux-pro-max/scripts/search.py "<product_type> <industry> <keywords>" --design-system [-p "Project Name"]
```
Returns: pattern, style, colors, typography, effects, anti-patterns.
### Step 3: Supplement Searches (as needed)
```bash
python3 $HOME/.claude/skills/ui-ux-pro-max/scripts/search.py "<keyword>" --domain <domain>
```
| Need | Domain |
|------|--------|
| More style options | `style` |
| Chart recommendations | `chart` |
| UX best practices | `ux` |
| Alternative fonts | `typography` |
| Landing structure | `landing` |
### Step 4: Stack Guidelines
```bash
python3 $HOME/.claude/skills/ui-ux-pro-max/scripts/search.py "<keyword>" --stack html-tailwind
```
Available stacks: `html-tailwind`, `react`, `nextjs`, `vue`, `svelte`, `swiftui`, `react-native`, `flutter`, `shadcn`
## Priority Rules
| Priority | Rule | Impact |
|----------|------|--------|
| 1 | Color contrast ≥4.5:1 | CRITICAL |
| 2 | Touch targets ≥44×44px | CRITICAL |
| 3 | Image optimization (WebP, lazy load) | HIGH |
| 4 | Viewport meta tag | HIGH |
| 5 | Line height 1.5–1.75 | MEDIUM |
| 6 | Transitions 150–300ms | MEDIUM |
| 7 | No emoji as UI icons (use SVG) | MEDIUM |
## Pre-Delivery Checklist
- [ ] No emojis as icons (use Heroicons/Lucide SVG)
- [ ] All clickable elements have `cursor-pointer`
- [ ] Light mode text contrast ≥4.5:1
- [ ] Glass elements visible in light mode (`bg-white/80+`)
- [ ] Floating navbar has edge spacing (`top-4 left-4 right-4`)
- [ ] No content hidden behind fixed navbars
- [ ] Responsive at 375px, 768px, 1024px, 1440px
- [ ] `prefers-reduced-motion` respected
- [ ] All images have alt text
## Output Formats
```bash
# ASCII box (default, terminal)
python3 $HOME/.claude/skills/ui-ux-pro-max/scripts/search.py "fintech" --design-system
# Markdown (for docs)
python3 $HOME/.claude/skills/ui-ux-pro-max/scripts/search.py "fintech" --design-system -f markdown
```

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---
name: ck-use-mcp
description: Execute operations via Model Context Protocol (MCP) servers. Use for MCP tool calls, resource access, prompt execution, integrating external services, or offloading tasks to preserve context budget.
---
# Use MCP — Execute MCP Operations
Executes MCP operations via Gemini CLI to preserve context budget, with fallback to direct MCP tool use.
## When to Use
- Executing tools from connected MCP servers
- Accessing MCP resources or prompts
- Offloading external service calls to preserve main context budget
- Integrating third-party services via MCP protocol
## Don't Use When
- Task can be done directly without MCP (no external service needed)
- No MCP servers are configured
## Primary: Gemini CLI Execution
Execute via stdin pipe (NOT `-p` flag — deprecated, skips MCP init):
```bash
echo "<task>. Return JSON only per GEMINI.md instructions." | gemini -y -m <gemini.model>
```
Read model from `$HOME/.claude/.ck.json`: `gemini.model` (default: `gemini-2.5-flash-preview`)
Use `-y` flag to auto-approve tool execution.
**Expected output format:**
```json
{"server": "name", "tool": "name", "success": true, "result": <data>, "error": null}
```
## Anti-Pattern (Never Use)
```bash
# BROKEN — -p flag skips MCP server connections
gemini -y -m model -p "..."
```
## Fallback: Direct MCP Tool Use
If Gemini CLI is unavailable:
1. Discover available MCP tools from connected servers
2. Execute the appropriate tool directly
3. If no suitable tool found, report back and move on — do not create new scripts
## Notes
- `GEMINI.md` is auto-loaded from project root, enforcing JSON-only response format
- Use `ck-mcp-builder` skill if MCP server scripts have issues
- Sub-process can only use existing MCP tools — never create new scripts as fallback

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---
name: ck-watzup
description: Review recent git changes and wrap up a work session. Use for end-of-session summaries, reviewing what was modified, analyzing commit quality, and getting an impact assessment of recent work.
---
# Watzup — Review Recent Changes
Reviews the current branch and recent commits, then provides a summary of changes and impact.
## When to Use
- End of a work session — "what did I do?"
- Before creating a PR — verifying all changes are intentional
- Handing off work to another developer
- Quick audit of recent modifications
## Don't Use When
- Need a formal code review with quality feedback (use `ck-code-review`)
- Need to document changes in journals (use `ck-journal`)
## Execution
Review the current branch and most recent commits:
1. Run `git log` to see recent commit history on current branch
2. Run `git diff` to see staged and unstaged changes
3. Run `git status` to see working tree state
4. Analyze all changes: what was modified, added, or removed
5. Assess overall impact and quality
## Report Format
```markdown
## Recent Changes Summary
### Branch
[current branch name]
### Commits Reviewed
- [hash] [message] — [brief impact]
### What Changed
- **Modified:** [files and what changed]
- **Added:** [new files]
- **Removed:** [deleted files]
### Impact Assessment
[Overall quality and impact of changes]
### Notes
[Anything notable — potential issues, follow-up needed]
```
## Important Rules
- Do NOT start implementing anything
- Analysis only — observe and report

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---
name: ck-web-design-guidelines
description: Review UI code for Web Interface Guidelines compliance. Use when asked to review UI, check accessibility, audit design, review UX, or check a site against web interface best practices.
---
# Web Design Guidelines Review
Reviews files for compliance with the Vercel Web Interface Guidelines.
## When to Use
- User asks "review my UI" or "audit my design"
- Checking accessibility compliance
- Reviewing UX patterns against best practices
- Auditing a site or component for quality issues
## Don't Use When
- Reviewing backend or non-UI code
- Task is creative design work, not compliance review
## How It Works
1. Fetch the latest guidelines from the source URL
2. Read the specified files (or prompt user for files/pattern)
3. Check against all rules in the fetched guidelines
4. Output findings in terse `file:line` format
## Guidelines Source
Fetch fresh guidelines before each review:
```
https://raw.githubusercontent.com/vercel-labs/web-interface-guidelines/main/command.md
```
Use a web fetch tool to retrieve the latest rules. The fetched content contains all rules and output format instructions.
## Usage
When a file or pattern is provided:
1. Fetch guidelines from the source URL above
2. Read the specified files
3. Apply all rules from the fetched guidelines
4. Output findings using the format specified in the guidelines
If no files specified, ask the user which files to review.

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---
name: ck-web-frameworks
description: Build with Next.js App Router, RSC, SSR, ISR, and Turborepo monorepos. Use for React apps, server rendering, build optimization, caching strategies, shared component libraries, monorepo setup.
---
# ck-web-frameworks
Comprehensive guide for building modern full-stack web applications using Next.js, Turborepo, and RemixIcon.
## When to Use
- Building new full-stack web applications with modern React
- Setting up monorepos with multiple apps and shared packages
- Implementing server-side rendering and static generation
- Optimizing build performance with intelligent caching
- Managing workspace dependencies across multiple projects
- Deploying production-ready applications
## Don't Use When
- Pure component-level React patterns — use `ck-frontend-development`
- Backend API design — use `ck-backend-development`
- Simple single-page static site with no SSR needs
## Stack Selection Guide
### Single Application: Next.js
Use for standalone applications:
- E-commerce sites, marketing websites, SaaS applications
- Documentation sites, blogs, content platforms
```bash
npx create-next-app@latest my-app
npm install remixicon
```
### Monorepo: Next.js + Turborepo
Use when building multiple applications with shared code:
- Microfrontends, multi-tenant platforms
- Multiple apps (web, admin, mobile-web) sharing logic
- Design system with documentation site
```bash
npx create-turbo@latest my-monorepo
```
## Monorepo Structure
```
my-monorepo/
├── apps/
│ ├── web/ # Customer-facing Next.js app
│ ├── admin/ # Admin dashboard
│ └── docs/ # Documentation site
├── packages/
│ ├── ui/ # Shared UI components
│ ├── api-client/ # Shared API client
│ ├── config/ # Shared ESLint, TypeScript configs
│ └── types/ # Shared TypeScript types
└── turbo.json
```
## Next.js Best Practices
- Default to Server Components; use Client Components only when needed
- Implement proper loading and error states (`loading.tsx`, `error.tsx`)
- Use `<Image>` component for automatic optimization
- Set proper metadata for SEO
- Leverage caching: `force-cache`, `revalidate`, `no-store`
**Rendering Modes:**
- **SSR**: `fetch(url)` — fresh data per request
- **SSG**: `generateStaticParams()` — build-time generation
- **ISR**: `{ next: { revalidate: 3600 } }` — stale-while-revalidate
## Turborepo Best Practices
- Structure with clear separation: `apps/`, `packages/`
- Define task dependencies correctly (`^build` for topological)
- Configure outputs for proper caching
- Enable remote caching for team collaboration
- Use filters to run tasks on changed packages only
**turbo.json pipeline:**
```json
{
"pipeline": {
"build": { "dependsOn": ["^build"], "outputs": [".next/**", "dist/**"] },
"dev": { "cache": false, "persistent": true },
"lint": {},
"test": { "dependsOn": ["build"] }
}
}
```
## RemixIcon Usage
```tsx
// Webfont (HTML)
<i className="ri-home-line"></i>
// React component
import { RiHomeLine } from "@remixicon/react"
<RiHomeLine size={24} />
```
**Guidelines:**
- Use line style for minimal interfaces, fill for emphasis
- Provide `aria-label` for accessibility
- Use `currentColor` for flexible theming
- Prefer webfonts for multiple icons; SVG for single icons
## CI/CD Pipeline
```yaml
jobs:
build:
steps:
- run: npm install
- run: npx turbo run build test lint
env:
TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }}
TURBO_TEAM: ${{ secrets.TURBO_TEAM }}
```
## Implementation Checklist
- [ ] Project structure (single app or monorepo)
- [ ] TypeScript and ESLint configured
- [ ] Next.js with App Router
- [ ] Turborepo pipeline (if monorepo)
- [ ] RemixIcon installed and configured
- [ ] Routing and layouts implemented
- [ ] Loading and error states added
- [ ] Image and font optimization configured
- [ ] Data fetching patterns established
- [ ] Caching strategies configured
- [ ] Remote caching enabled (if monorepo)
- [ ] CI/CD pipeline configured

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---
name: ck-web-testing
description: Web testing with Playwright, Vitest, k6. Use for E2E, unit, integration, load, security, visual regression, accessibility testing, test automation setup, flakiness mitigation, Core Web Vitals.
---
# ck-web-testing
Comprehensive web testing across all layers: unit, integration, E2E, load, security, visual regression, accessibility. Embeds the `tester` agent role.
## When to Use
- Running test suites after feature implementation
- Setting up test infrastructure from scratch
- Diagnosing flaky or failing tests
- Coverage analysis and gap identification
- Performance and Core Web Vitals testing
- Accessibility audits (WCAG)
- Security testing (OWASP Top 10)
- Before any merge to main
## Don't Use When
- Writing production code — implement first, then test
- Debugging a specific code bug (not test issue) — use `ck-debug`
- Load testing infrastructure setup — use `ck-devops`
## Quick Start Commands
```bash
npx vitest run # Unit tests
npx playwright test # E2E tests
npx playwright test --ui # E2E with interactive UI
k6 run load-test.js # Load tests
npx @axe-core/cli https://example.com # Accessibility
npx lighthouse https://example.com # Performance
```
## Testing Strategy Models
| Model | Structure | Best For |
|-------|-----------|----------|
| Pyramid | Unit 70% > Integration 20% > E2E 10% | Monoliths |
| Trophy | Integration-heavy | Modern SPAs |
| Honeycomb | Contract-centric | Microservices |
## Working Process
1. Identify testing scope based on recent changes or requirements
2. Run type check / analyze commands to catch syntax errors first
3. Run appropriate test suites using project-specific commands
4. Analyze results, paying close attention to failures
5. Generate and review coverage reports
6. Validate build processes if relevant
7. Create comprehensive summary report
## Test Execution Commands
- JavaScript/TypeScript: `npm test`, `yarn test`, `pnpm test`, `bun test`
- Coverage: `npm run test:coverage`
- Python: `pytest` or `python -m unittest`
- Go: `go test ./...`
- Rust: `cargo test`
## CI/CD Integration
```yaml
steps:
- run: npm run test:unit # Gate 1: fast fail
- run: npm run test:e2e # Gate 2: after unit pass
- run: npm run test:a11y # Accessibility
- run: npx lhci autorun # Performance
```
## Reference Areas
- **Unit & Integration**: Vitest, browser mode, AAA pattern
- **E2E**: Playwright fixtures, sharding, selector strategies
- **Component Testing**: React/Vue/Angular patterns
- **Test Data**: Factories, fixtures, seeding strategies
- **Database Testing**: Testcontainers, transactions
- **Cross-Browser**: Browser/device matrix
- **Mobile**: Touch gestures, swipe, orientation testing
- **Performance**: LCP/CLS/INP, Lighthouse CI
- **Visual Regression**: Screenshot comparison
- **Flakiness**: Stability strategies, retry logic
- **Accessibility**: WCAG, axe-core
- **Security**: OWASP Top 10 checklist
- **API**: Supertest, GraphQL testing
- **Load**: k6 patterns
## Output Report Format
- **Test Results Overview**: Total run, passed, failed, skipped
- **Coverage Metrics**: Line, branch, function coverage percentages
- **Failed Tests**: Detailed failures with error messages and stack traces
- **Performance Metrics**: Execution time, slow tests identified
- **Build Status**: Success/failure with warnings
- **Critical Issues**: Blocking issues requiring immediate attention
- **Recommendations**: Actionable tasks to improve quality
- **Next Steps**: Prioritized list of testing improvements
## Quality Standards
- All critical paths have test coverage
- Both happy path and error scenarios validated
- Tests are isolated (no interdependencies)
- Tests are deterministic and reproducible
- Test data cleaned up after execution
- Never ignore failing tests just to pass the build
**IMPORTANT:** Sacrifice grammar for concision. List unresolved questions at end if any.

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---
name: ck-worktree
description: Create isolated git worktrees for parallel feature development. Use when working on multiple features simultaneously, isolating experiments, or setting up a parallel branch without disrupting the current working directory.
---
# Worktree — Isolated Git Worktree
Creates isolated git worktrees for parallel development without switching branches.
## When to Use
- Working on multiple features simultaneously
- Isolating an experiment without stashing current work
- Setting up a parallel branch for a hotfix while mid-feature
## Don't Use When
- Repository uses a shallow clone (worktrees unsupported)
- Simple branch switch is sufficient
## Workflow
### Step 1: Get Repo Info
```bash
node $HOME/.claude/scripts/worktree.cjs info --json
```
Parse: `repoType`, `baseBranch`, `projects`, `worktreeRoot`, `worktreeRootSource`.
### Step 2: Detect Branch Prefix from Description
| Keywords | Prefix |
|----------|--------|
| fix, bug, error, issue | `fix` |
| refactor, restructure, rewrite | `refactor` |
| docs, documentation, readme | `docs` |
| test, spec, coverage | `test` |
| chore, cleanup, deps | `chore` |
| perf, performance, optimize | `perf` |
| (default) | `feat` |
### Step 3: Convert Description to Slug
`"add authentication system"` → `add-auth` (max 50 chars, kebab-case)
### Step 4: Handle Monorepo
If `repoType === "monorepo"` and project not specified, ask user which project to target.
### Step 5: Execute
**Standalone:**
```bash
node $HOME/.claude/scripts/worktree.cjs create "<SLUG>" --prefix <TYPE>
```
**Monorepo:**
```bash
node $HOME/.claude/scripts/worktree.cjs create "<PROJECT>" "<SLUG>" --prefix <TYPE>
```
### Step 6: Install Dependencies
After creating worktree, run in background based on lock file:
- `bun.lock` → `bun install`
- `pnpm-lock.yaml` → `pnpm install`
- `package-lock.json` → `npm install`
- `poetry.lock` → `poetry install`
- `Cargo.toml` → `cargo build`
## Commands
| Command | Description |
|---------|-------------|
| `create [project] <feature>` | Create worktree |
| `remove <name-or-path>` | Remove worktree |
| `info` | Repo info with worktree location |
| `list` | List all worktrees |
## Notes
- Auto-detects superproject, monorepo, and standalone repos
- Default worktree location: superproject > monorepo sibling > repo sibling
- `.env*.example` files auto-copied with `.example` suffix removed
- Use `--dry-run` to preview without creating

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{"skills":[
{"name":"ck-agent-browser","path":"skills/ck-agent-browser/SKILL.md","description":">"},
{"name":"ck-ai-artist","path":"skills/ck-ai-artist/SKILL.md","description":">"},
{"name":"ck-ai-multimodal","path":"skills/ck-ai-multimodal/SKILL.md","description":">"},
{"name":"ck-ask","path":"skills/ck-ask/SKILL.md","description":">"},
{"name":"ck-backend-development","path":"skills/ck-backend-development/SKILL.md","description":"Build production-ready backends with Node.js, Python, Go. Use for REST/GraphQL/gRPC APIs, authentication (OAuth, JWT), database design, microservices, OWASP security, Docker and Kubernetes deployment."},
{"name":"ck-better-auth","path":"skills/ck-better-auth/SKILL.md","description":">"},
{"name":"ck-bootstrap","path":"skills/ck-bootstrap/SKILL.md","description":">"},
{"name":"ck-brainstorm","path":"skills/ck-brainstorm/SKILL.md","description":"Brainstorm technical solutions with trade-off analysis. Use for ideation sessions, architecture decisions, technical debates, feasibility assessment, design discussions, evaluating multiple approaches."},
{"name":"ck-brainstormer","path":"skills/ck-brainstormer/SKILL.md","description":"Brainstorm software solutions with brutal honesty and trade-off analysis. Use for architectural decisions, feature ideation, technology evaluation, debating approaches, and getting frank feedback before implementation."},
{"name":"ck-ccs-delegation","path":"skills/ck-ccs-delegation/SKILL.md","description":">"},
{"name":"ck-ccs","path":"skills/ck-ccs/SKILL.md","description":"Delegate tasks with intelligent AI profile selection and prompt enhancement. Use for offloading tasks, routing to specialized models, auto-enhancing prompts, and running long-context or reasoning-heavy delegations."},
{"name":"ck-chrome-devtools","path":"skills/ck-chrome-devtools/SKILL.md","description":">"},
{"name":"ck-code-quality-guard","path":"skills/ck-code-quality-guard/SKILL.md","description":"Enforces code quality standards automatically after file edits. Reminds to simplify code after significant changes, injects development rules on every prompt, enforces file naming conventions, prevents skill duplication. Activates automatically on file writes and user prompts."},
{"name":"ck-code-review","path":"skills/ck-code-review/SKILL.md","description":"Review code quality with technical rigor, scout edge cases, verify completion claims. Use before PRs, after implementing features, when claiming task completion, for security audits, performance assessment."},
{"name":"ck-code-simplifier","path":"skills/ck-code-simplifier/SKILL.md","description":"Simplify and refine code for clarity, consistency, and maintainability without changing functionality. Use after implementing features, before code review, or when code is overly complex, nested, or redundant."},
{"name":"ck-coding-level","path":"skills/ck-coding-level/SKILL.md","description":"Set coding experience level for tailored explanations and output verbosity. Use when adjusting explanation depth, changing response format, or configuring how technical and detailed answers should be."},
{"name":"ck-context-engineering","path":"skills/ck-context-engineering/SKILL.md","description":">"},
{"name":"ck-context-guard","path":"skills/ck-context-guard/SKILL.md","description":"Enforces workflow context rules automatically. Reminds to use ck-cook after planning completes, enforces descriptive file naming conventions. Activates automatically after plan agent completion and before file creation."},
{"name":"ck-cook","path":"skills/ck-cook/SKILL.md","description":"End-to-end feature implementation with automatic workflow detection. Always activate before implementing any feature, plan, or fix. Use for full-stack features, plan execution, multi-phase delivery."},
{"name":"ck-copywriting","path":"skills/ck-copywriting/SKILL.md","description":">"},
{"name":"ck-databases","path":"skills/ck-databases/SKILL.md","description":"Design schemas and write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance optimization, psql CLI operations."},
{"name":"ck-debug","path":"skills/ck-debug/SKILL.md","description":"Debug systematically with root cause analysis before fixes. Use for bugs, test failures, unexpected behavior, performance issues, call stack tracing, CI/CD failures, multi-layer validation."},
{"name":"ck-devops","path":"skills/ck-devops/SKILL.md","description":"Deploy to Cloudflare Workers/R2/D1, Docker, GCP Cloud Run/GKE, Kubernetes with kubectl and Helm. Use for serverless deployment, container orchestration, CI/CD pipelines, GitOps, security audit, infrastructure management."},
{"name":"ck-docs-manager","path":"skills/ck-docs-manager/SKILL.md","description":"Manage and update technical documentation in ./docs directory. Use for syncing docs with code changes, writing PDRs, updating system architecture, maintaining codebase summaries, and ensuring documentation accuracy."},
{"name":"ck-docs-seeker","path":"skills/ck-docs-seeker/SKILL.md","description":"Search library and framework documentation via llms.txt standard. Use for API docs lookup, GitHub repository analysis, technical documentation discovery, latest library features, context7 integration."},
{"name":"ck-find-skills","path":"skills/ck-find-skills/SKILL.md","description":">"},
{"name":"ck-fix","path":"skills/ck-fix/SKILL.md","description":"Fix bugs, errors, test failures, CI/CD issues with intelligent routing. Always activate before fixing any bug, error, type error, lint issue, log error, UI issue, or code problem."},
{"name":"ck-fixing","path":"skills/ck-fixing/SKILL.md","description":"Fix bugs, errors, test failures, CI/CD issues with intelligent complexity routing. Use when reporting bugs, type errors, log errors, UI issues, code problems. Auto-classifies complexity and activates relevant skills."},
{"name":"ck-frontend-design","path":"skills/ck-frontend-design/SKILL.md","description":"Create polished frontend interfaces from designs, screenshots, or videos. Use for web components, 3D experiences, replicating UI designs, quick prototypes, immersive interfaces, design system work, avoiding generic AI output."},
{"name":"ck-frontend-development","path":"skills/ck-frontend-development/SKILL.md","description":"Build React/TypeScript frontends with modern patterns. Use for components, Suspense-based data fetching, lazy loading, MUI v7 styling, TanStack Router, performance optimization, feature organization."},
{"name":"ck-fullstack-developer","path":"skills/ck-fullstack-developer/SKILL.md","description":"Execute implementation phases from parallel plans with strict file ownership boundaries. Use when implementing a specific phase from a parallel plan, handling backend APIs, frontend components, or infrastructure tasks."},
{"name":"ck-git","path":"skills/ck-git/SKILL.md","description":"Git operations with conventional commits, security scanning, and auto-split logic. Use for staging, committing, pushing, creating PRs, merging branches. Embeds the git-manager agent role."},
{"name":"ck-gkg","path":"skills/ck-gkg/SKILL.md","description":">"},
{"name":"ck-google-adk-python","path":"skills/ck-google-adk-python/SKILL.md","description":">"},
{"name":"ck-help","path":"skills/ck-help/SKILL.md","description":"ClaudeKit skills and commands cheatsheet. Use when asking about available skills, how to use a command, finding the right tool for a task, or getting workflow guidance for fix, plan, test, review, or deploy."},
{"name":"ck-journal-writer","path":"skills/ck-journal-writer/SKILL.md","description":"Write brutally honest technical journal entries documenting failures, bugs, setbacks, and difficult events. Use when tests fail repeatedly, production bugs occur, implementations fail, or significant technical difficulties arise."},
{"name":"ck-journal","path":"skills/ck-journal/SKILL.md","description":"Write developer journal entries documenting recent code changes, technical decisions, and project events. Use when summarizing work sessions, capturing key changes, or maintaining a development log in docs/journals/."},
{"name":"ck-kanban","path":"skills/ck-kanban/SKILL.md","description":"Launch a kanban dashboard for plans directory with progress tracking and Gantt timeline visualization. Use for viewing plan status, phase progress, milestone tracking, and project visibility."},
{"name":"ck-markdown-novel-viewer","path":"skills/ck-markdown-novel-viewer/SKILL.md","description":">"},
{"name":"ck-mcp-builder","path":"skills/ck-mcp-builder/SKILL.md","description":">"},
{"name":"ck-mcp-management","path":"skills/ck-mcp-management/SKILL.md","description":"Manage MCP servers — discover, analyze, and execute tools, prompts, and resources. Use for MCP integrations, intelligent tool selection, multi-server management, context-efficient capability discovery, MCP client implementation."},
{"name":"ck-media-processing","path":"skills/ck-media-processing/SKILL.md","description":">"},
{"name":"ck-mermaidjs-v11","path":"skills/ck-mermaidjs-v11/SKILL.md","description":">"},
{"name":"ck-mintlify","path":"skills/ck-mintlify/SKILL.md","description":"Build and deploy Mintlify documentation sites. Use when creating API docs, developer portals, or knowledge bases with MDX components, OpenAPI integration, and multi-language navigation."},
{"name":"ck-mobile-development","path":"skills/ck-mobile-development/SKILL.md","description":"Build mobile apps with React Native, Flutter, Swift/SwiftUI, Kotlin/Jetpack Compose. Use for iOS/Android development, mobile UX patterns, offline-first architecture, and app store deployment."},
{"name":"ck-orchestration","path":"skills/ck-orchestration/SKILL.md","description":"Orchestrate multi-agent workflows with sequential chaining and parallel execution. Use for feature delivery pipelines, research-then-implement flows, parallel independent tasks, subagent coordination, and passing context between agents."},
{"name":"ck-payment-integration","path":"skills/ck-payment-integration/SKILL.md","description":"Integrate payments with SePay (VietQR), Polar, Stripe, Paddle, or Creem.io. Use for checkout flows, subscription management, webhook handling, QR code payments, and software licensing."},
{"name":"ck-plan","path":"skills/ck-plan/SKILL.md","description":"Create an intelligent implementation plan with prompt enhancement. Use when planning a feature, designing architecture, starting a new task, or creating a detailed phased implementation roadmap."},
{"name":"ck-planning","path":"skills/ck-planning/SKILL.md","description":"Plan feature implementations, design system architectures, create technical roadmaps. Use for implementation planning, system design, solution architecture, phase documentation, evaluating technical trade-offs."},
{"name":"ck-plans-kanban","path":"skills/ck-plans-kanban/SKILL.md","description":"View plans dashboard with progress tracking and Gantt timeline. Use for kanban boards, plan status overview, phase progress visualization, and milestone tracking across plan directories."},
{"name":"ck-preview","path":"skills/ck-preview/SKILL.md","description":"Generate visual explanations, diagrams, slides, or ASCII art for any topic. Use when explaining complex code, visualizing architecture, creating presentation slides, or producing terminal-friendly diagrams."},
{"name":"ck-privacy-guard","path":"skills/ck-privacy-guard/SKILL.md","description":"Blocks access to sensitive files and ignored directories. HARD-GATE on .env files, credentials, secrets, API keys. Also enforces .ckignore directory exclusions. Activates automatically on every file read and directory access attempt."},
{"name":"ck-problem-solving","path":"skills/ck-problem-solving/SKILL.md","description":"Apply systematic problem-solving techniques when stuck. Use for complexity spirals, innovation blocks, recurring patterns, assumption constraints, simplification cascades, and scale uncertainty."},
{"name":"ck-project-manager","path":"skills/ck-project-manager/SKILL.md","description":"Comprehensive project oversight and coordination across plans and agents. Use for tracking implementation progress, consolidating agent reports, updating project roadmap and changelog, and verifying task completeness."},
{"name":"ck-react-best-practices","path":"skills/ck-react-best-practices/SKILL.md","description":"React and Next.js performance optimization from Vercel Engineering. Use when writing, reviewing, or refactoring React components, data fetching, bundle optimization, or fixing performance issues."},
{"name":"ck-remotion","path":"skills/ck-remotion/SKILL.md","description":"Create programmatic videos with React using Remotion. Use when building video compositions, animations, captions, charts, audio sync, transitions, or rendering video from code."},
{"name":"ck-repomix","path":"skills/ck-repomix/SKILL.md","description":"Pack repositories into AI-friendly files with Repomix. Use for codebase snapshots, LLM context preparation, security audits, third-party library analysis, and bug investigation across large codebases."},
{"name":"ck-research","path":"skills/ck-research/SKILL.md","description":"Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability analysis, security research, library documentation."},
{"name":"ck-scout","path":"skills/ck-scout/SKILL.md","description":"Fast codebase scouting using parallel agents. Use for file discovery, task context gathering, quick searches across directories, finding where functionality lives, understanding project structure."},
{"name":"ck-sequential-thinking","path":"skills/ck-sequential-thinking/SKILL.md","description":"Apply step-by-step analysis for complex problems with revision capability. Use for multi-step reasoning, hypothesis verification, adaptive planning, problem decomposition, course correction, debugging with unclear scope."},
{"name":"ck-session-guard","path":"skills/ck-session-guard/SKILL.md","description":"Session lifecycle management — initializes environment context, injects project info into subagents, tracks usage limits, cleans up on session end. Activates automatically at session start, subagent start, and session end."},
{"name":"ck-shader","path":"skills/ck-shader/SKILL.md","description":"Write GLSL fragment shaders for procedural graphics. Use for generative art, procedural textures, visual effects, WebGL shaders, Three.js materials, shapes (SDF), noise, patterns, and animations."},
{"name":"ck-shopify","path":"skills/ck-shopify/SKILL.md","description":"Build Shopify apps, extensions, and themes with Shopify CLI. Use for GraphQL/REST Admin API, Polaris UI components, Liquid templates, checkout customization, webhooks, and billing integration."},
{"name":"ck-skill-creator","path":"skills/ck-skill-creator/SKILL.md","description":"Create or update Antigravity-format skills. Use for new skills, skill references, skill scripts, optimizing existing skills, and extending capabilities with SKILL.md, references/, and scripts/."},
{"name":"ck-system","path":"skills/ck-system/SKILL.md","description":"Meta-loader and universal entry point for the ClaudeKit guard system. References all four guards, provides system-wide activation rules, and serves as the single source of truth for guard configuration. Load this skill to understand the full guard landscape."},
{"name":"ck-template-skill","path":"skills/ck-template-skill/SKILL.md","description":"Starter template for new Antigravity skills. Use as a scaffold when creating a new skill, copying skill structure, or understanding the required SKILL.md format."},
{"name":"ck-test","path":"skills/ck-test/SKILL.md","description":"Run tests locally and analyze the summary report. Use when running unit tests, integration tests, checking test failures, or validating that code changes don't break existing test suites."},
{"name":"ck-threejs","path":"skills/ck-threejs/SKILL.md","description":"Build 3D web apps with Three.js (WebGL/WebGPU). Use for 3D scenes, GLTF model loading, animations, physics, VR/XR experiences, particle effects, custom shaders, post-processing, and compute shaders."},
{"name":"ck-ui-styling","path":"skills/ck-ui-styling/SKILL.md","description":"Style UIs with shadcn/ui (Radix UI + Tailwind CSS). Use for accessible components, dark mode, responsive layouts, design systems, color customization, forms with validation, and theme configuration."},
{"name":"ck-ui-ux-pro-max","path":"skills/ck-ui-ux-pro-max/SKILL.md","description":"UI/UX design intelligence with 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks. Use when building, designing, reviewing, or improving websites, dashboards, landing pages, or mobile app UI."},
{"name":"ck-use-mcp","path":"skills/ck-use-mcp/SKILL.md","description":"Execute operations via Model Context Protocol (MCP) servers. Use for MCP tool calls, resource access, prompt execution, integrating external services, or offloading tasks to preserve context budget."},
{"name":"ck-watzup","path":"skills/ck-watzup/SKILL.md","description":"Review recent git changes and wrap up a work session. Use for end-of-session summaries, reviewing what was modified, analyzing commit quality, and getting an impact assessment of recent work."},
{"name":"ck-web-design-guidelines","path":"skills/ck-web-design-guidelines/SKILL.md","description":"Review UI code for Web Interface Guidelines compliance. Use when asked to review UI, check accessibility, audit design, review UX, or check a site against web interface best practices."},
{"name":"ck-web-frameworks","path":"skills/ck-web-frameworks/SKILL.md","description":"Build with Next.js App Router, RSC, SSR, ISR, and Turborepo monorepos. Use for React apps, server rendering, build optimization, caching strategies, shared component libraries, monorepo setup."},
{"name":"ck-web-testing","path":"skills/ck-web-testing/SKILL.md","description":"Web testing with Playwright, Vitest, k6. Use for E2E, unit, integration, load, security, visual regression, accessibility testing, test automation setup, flakiness mitigation, Core Web Vitals."},
{"name":"ck-worktree","path":"skills/ck-worktree/SKILL.md","description":"Create isolated git worktrees for parallel feature development. Use when working on multiple features simultaneously, isolating experiments, or setting up a parallel branch without disrupting the current working directory."}
]}

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[]

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---
name: skill-name
description: "Describe when to activate. Include trigger phrases."
---
## Overview
Brief purpose.
## When to Use
- Situation A
- Situation B
## Don't Use When
- Situation C
## Steps
1. Step one
2. Step two