photo-composition-critic

Evaluate photographic composition and aesthetic quality using ML models and color theory principles.

181|30|Updated Nov 16, 2025

Search Tags:#composition #aesthetics #NIMA #color-theory #AVA

Ready to run

npx skills add https://github.com/erichowens/some_claude_skills --skill photo-composition-critic

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: photo-composition-critic
Source: https://github.com/erichowens/some_claude_skills/tree/main/.claude/skills/photo-composition-critic
Command: npx skills add https://github.com/erichowens/some_claude_skills --skill photo-composition-critic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Graduate-level quantitative and qualitative evaluation of photographic composition, color theory, and aesthetics with actionable feedback.

Core Features & Use Cases

Aesthetic scoring and critique framework
Composition theory integration (Arnheim, Gestalt, dynamic symmetry)
Color harmony assessment and mood analysis
Reference implementations for evaluating and improving photos
ML-assisted quality metrics (NIMA, AVA) integration

Quick Start

Evaluate a photo using the ensemble critic and receive actionable recommendations for cropping and color adjustments.

Frequently Asked Questions about photo-composition-critic

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I evaluate photographic composition and aesthetic quality automatically?▼

Photographic composition evaluation combines visual theory with ML models to score aesthetic quality, color harmony, and structural balance. This Skill applies graduate-level principles—gestalt, dynamic symmetry, visual weight—alongside NIMA and AVA models to deliver quantitative scores and actionable feedback on cropping and color adjustments.

What is NIMA and how does it assess image quality?▼

NIMA (Neural Image Assessment) is an ML model that predicts aesthetic and technical quality scores for images. This Skill integrates NIMA alongside AVA and LAION-Aesthetics to provide ensemble scoring, enabling consistent, reproducible image-quality metrics for education, professional review, and automated filtering.

Can I use color theory analysis to improve photo aesthetics?▼

Yes. Color harmony assessment evaluates mood, balance, and perceptual impact using color-theory principles. This Skill analyzes color relationships within your images and recommends adjustments to strengthen aesthetic appeal and emotional resonance.

How do I compare multiple crop options for a single photo?▼

Multi-crop assessment scores each cropped variant against composition theory and ML models, surfacing which framing maximizes visual weight distribution, gestalt coherence, and overall aesthetic impact. This supports rapid iteration for professional workflows and educational analysis.

What background knowledge do I need to understand composition feedback?▼

Feedback references graduate-level visual theory—Arnheim, gestalt principles, dynamic symmetry, arabesque—but no prior expertise is required. The Skill structures scores and recommendations accessibly for education and professional use; references support deeper learning.

Does this work for both professional photography and educational use?▼

Yes. The ensemble approach scales across education, professional review, automated quality scoring, and crop comparison. Structured scores and actionable feedback support both learning workflows and production image-quality gatekeeping.