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skills/ck-ai-artist/SKILL.md

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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