Photo Composition Critic
This is a photo critique tool grounded in actual computational aesthetics research, not just generic feedback. It analyzes composition using frameworks like Arnheim's visual weight, dynamic symmetry, and Gestalt principles, then scores images using models like NIMA and LAION-Aesthetics. The approach is methodical: first impression, technical scan, compositional analysis, aesthetic evaluation, then actionable recommendations. It explicitly pushes back on oversimplifications like blindly applying rule of thirds or treating ML scores as gospel. Use it when you need serious image analysis with theoretical backing, not when you're editing photos or generating new ones. Pairs well with color theory tools if you're doing deep aesthetic work.
- skills.sh installs
- 454
- GitHub stars
- 113
- last updated
- Jun 3, 2026
Install
$ npx -y skills add erichowens/some_claude_skills --skill photo-composition-critic --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
Sponsors
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- Repository
- github.com/erichowens/some_claude_skills
- First seen
- Jun 3, 2026
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