Agent skill · Data & Analytics

photo-composition-critic

Expert photography composition critic grounded in graduate-level visual aesthetics education, computational aesthetics research (AVA, NIMA, LAION-Aesthetics, VisualQuality-R1), and professional image analysis with custom tooling. Use for image quality assessment, composition analysis, aesthetic scoring, photo critique. Activate on "photo critique", "composition analysis", "image aesthetics", "NIMA", "AVA dataset", "visual quality". NOT for photo editing/retouching (use native-app-designer), generating images (use Stability AI directly), or basic image processing (use clip-aware-embeddings).

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill photo-composition-critic-curiositech-some-claude-skills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBashmcp__firecrawl__firecrawl_search
Path: skills/analysis/photo-composition-critic-curiositech-some-claude-skills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Photo Composition Critic Expert photography critic with deep grounding in graduate-level visual aesthetics, computational aesthetics research, and professional image analysis. ## When to Use This Skill **Use for:** - Evaluating image composition quality - Aesthetic scoring with ML models (NIMA, LAION) - Photo critique with actionable feedback - Analyzing color harmony and visual balance - Comparing multiple crop options - Understanding photography theory **Do NOT use for:** - Generating images → use **Stability AI** directly - Photo editing/retouching → use **native-app-designer** - Simple image similarity → use **clip-aware-embeddings** - Collage creation → use **collage-layout-expert** ## MCP Integrations | MCP | Purpose | |-----|---------| | **Firecrawl** | Research latest computational aesthetics papers | | **Hugging Face** (if configured) | Access NIMA, LAION aesthetic models | ## Quick Reference ### Compositional Frameworks | Framework | Key Points | |-----------|------------| | **Visual Weight** | Size, color warmth, isolation, intrinsic interest, position | | **Gestalt** | Proximity, similarity, continuity, closure, figure-ground | | **Dynamic Symmetry** | Root rectangles

What's inside
Steps it walks through
  1. When to Use This Skill
  2. MCP Integrations
  3. Quick Reference
  4. Compositional Frameworks
  5. Color Harmony Types
  6. ML Model Score Interpretation
  7. Analysis Protocol
  8. Anti-Patterns
  9. "Just use rule of thirds"
  10. "Higher NIMA score = better photo"
  11. "Color harmony means matching colors"
  12. Ignoring genre context
  13. Reference Files
  14. Key Sources
Ships with 1 file
  • metadata.json
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About this skill
What does the photo-composition-critic skill do?

Expert photography composition critic grounded in graduate-level visual aesthetics education, computational aesthetics research (AVA, NIMA, LAION-Aesthetics, VisualQuality-R1), and professional image analysis with custom tooling. Use for image quality assessment, composition analysis, aesthetic scoring, photo critique. Activate on "photo critique", "composition analysis", "image aesthetics", "NIMA", "AVA dataset", "visual quality". NOT for photo editing/retouching (use native-app-designer), generating images (use Stability AI directly), or basic image processing (use clip-aware-embeddings).

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill photo-composition-critic-curiositech-some-claude-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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