antigravity-claudekit/skills/ck-docs-seeker/SKILL.md

name, description

name	description
ck-docs-seeker	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:

# 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?"

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"

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