Expert in ALL computational collage composition: photo mosaics, grid layouts, scrapbook/journal styles, magazine editorial, vision boards, mood boards, social media collages, memory walls, abstract/generative arrangements, and art-historical techniques (Hockney joiners, Dadaist photomontage, Surrealist assemblage, Rauschenberg combines). Masters edge-based assembly, Poisson blending, optimal transport color harmonization, and aesthetic optimization. Activate on ''collage'', ''photo mosaic'', ''grid layout'', ''scrapbook'', ''vision board'', ''mood board'', ''photo wall'', ''magazine layout'', ''Hockney'', ''joiner'', ''photomontage''. NOT for simple image editing (use native-app-designer), generating new images (use Stability AI), single photo enhancement (use photo-composition-critic), or basic image similarity search (use clip-aware-embeddings).'
npx skills add https://github.com/curiositech/some_claude_skills --skill collage-layout-expert
Expert in ALL forms of computational collage composition - from Instagram grids to Hockney joiners, from magazine layouts to generative art.
✅ Use for:
❌ Do NOT use for:
| Topic | Novice | Expert |
|-------|--------|--------|
| Layout | "Just arrange randomly" | Visual weight, balance, golden ratio |
| Blending | Hard edges or simple feather | Poisson blending preserves gradients |
| Color | "Match colors manually" | Optimal transport; LAB space advantages |
| Composition | Fills all space | Negative space as design element |
| Scale | Same size for everything | Varies scale for hierarchy |
| Mosaic | "More tiles = better" | Tile size vs. recognition tradeoff |
| Hockney | "Stitch seamlessly" | Imperfection IS the technique |
What's the purpose?
What's the vibe?
| Algorithm | Use Case | Performance |
|-----------|----------|-------------|
| Edge-Based Assembly | Hockney joiners | 0.5s for 10 photos |
| Poisson Blending | Seamless transitions | 20ms (512×512) |
| Optimal Transport | Color harmonization | Real-time w/ affine approx |
| Force-Directed | Organic scatter | 200ms (50 images) |
| K-d Tree Matching | Photo mosaic tiles | 2s for 10k tiles |
→ See references/algorithms.md for full implementations.
What it looks like: All images same size, random placement
Why it's wrong: No focal point, viewer's eye wanders aimlessly
Fix: Establish 60/30/10 hierarchy with one hero image
What it looks like: Every pixel filled with image content
Why it's wrong: Visual claustrophobia, no breathing room
Fix: Use negative space intentionally (20-30% white space minimum)
What it looks like: Poor perceptual color matches
Why it's wrong: RGB is not perceptually uniform
Fix: Use LAB color space for matching
What it looks like: Perfectly stitched panorama
Why it's wrong: Misses the entire point - multiple perspectives
Fix: Embrace ±2° rotation variance, 5-15% overlap, intentional gaps
What it looks like: Entire image becomes washed out
Why it's wrong: Destroys local contrast, looks fake
Fix: Apply locally at seams only, preserve source gradients
What it looks like: Obvious repetition patterns in mosaic
Why it's wrong: Human eye detects patterns immediately
Fix: Track tile usage, penalize reuse, use larger tile library
| MCP | Purpose |
|-----|---------|
| Stability AI | Generate backgrounds, textures, missing elements |
| Firecrawl | Research techniques, algorithm papers, art history |
| WebFetch | Fetch documentation, tutorials, design references |
| Operation | Mac M2 | iPhone 15 Pro |
|-----------|--------|---------------|
| Grid layout (20 photos) | <50ms | <100ms |
| Photo mosaic (10k tiles) | 2s | 5s |
| Force-directed (50 images) | 200ms | 500ms |
| Poisson blending (512×512) | 20ms | 50ms |
| Hockney assembly (10 photos) | 0.5s | 2s |
→ references/collage-types.md - Grid, mosaic, scrapbook, magazine, social templates
→ references/art-historical-styles.md - Hockney, Dadaist, Surrealist, Rauschenberg
→ references/algorithms.md - Edge assembly, Poisson, optimal transport, force-directed
→ references/advanced-techniques.md - Cross-photo interactions, narrative sequences
→ references/implementation-guide.md - Metal shaders, Core ML, performance
Remember: Great collages tell stories through arrangement. Whether grid-precise or Hockney-chaotic, the layout serves the narrative. Master both the math and the art.
Generate breadboard circuit mockups and visual diagrams using HTML5 Canvas drawing techniques. Use when asked to create circuit layouts, visualize electronic component placements, draw breadboard diagrams, mockup 6502 builds, generate retro computer schematics, or design vintage electronics projects. Supports 555 timers, W65C02S microprocessors, 28C256 EEPROMs, W65C22 VIA chips, 7400-series logic gates, LEDs, resistors, capacitors, switches, buttons, crystals, and wires.
> Use when a HyperFrames composition needs seek-safe 2D/3D keyframes, GSAP timelines, CSS keyframes, Anime.js, WAAPI, FLIP, paths, masks, SVG morph/draw, text trails, 3D depth, or `hyperframes keyframes` diagnostics. Don't use for broad scene strategy, brand design, media sourcing, captions, or general video planning.
Analyze images, websites, and Figma files to extract their design and generate a `design.md` with token system, component inventory, and reconstruction notes. Use this skill whenever the user wants to understand, document, replicate, or audit the design of something visual: a screenshot, a URL, a Figma link, a Pinterest reference, a mockup, a competitor's site, a component, a dashboard, a landing page. Also when they ask 'extract the design system from X', 'document the style of Y', 'analyze this visually', 'convert this image into tokens', 'help me replicate this design', 'what palette does this site use', 'how is this built'. Also for single elements: 'copy this navbar', 'recreate this illustration', 'give me a prompt to regenerate this graphic' — element mode outputs a focused element.md, with token-grounded image-model prompts when the element is visual art. If the user brings any visual source and wants to understand it at a design level — this skill should activate.
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.
Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.
Optimize web performance: bundle size, images, caching, lazy loading, and overall page speed. Use when site is slow, reducing bundle size, fixing layout shifts, improving Time to Interactive, or optimizing for Lighthouse scores. Triggers on: web performance, bundle size, page speed, slow site, lazy loading. Do NOT use for Core Web Vitals-specific fixes (use core-web-vitals), running Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).
| Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.
| Official GSAP skill for performance — prefer transforms, avoid layout thrashing, will-change, batching. Use when optimizing GSAP animations, reducing jank, or when the user asks about animation performance, FPS, or smooth 60fps.
Take curiositech/collage-layout-expert from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.