Claude-skill-registry aesthetic-pattern-miner
[Aesthetics] Extracts recurring visual patterns from references: contrast habits, shapes, density/whitespace balance, rhythm, textures. Produces Aesthetic Pattern Library as Data-Sheet nodes in Brain canvas.
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/aesthetic-pattern-miner" ~/.claude/skills/majiayu000-claude-skill-registry-aesthetic-pattern-miner && rm -rf "$T"
manifest:
skills/data/aesthetic-pattern-miner/SKILL.mdtags
source content
Aesthetic Pattern Miner
Extract and catalog recurring visual patterns across reference materials.
Pattern Categories
1. Contrast Patterns
- Value Contrast, Color Contrast, Scale Contrast, Density Contrast
2. Shape Patterns
- Dominant Shapes, Edge Treatment, Repetition, Negative Space
3. Rhythm Patterns
- Visual Tempo, Spacing Rhythm, Size Rhythm, Color Rhythm
4. Texture Patterns
- Surface Quality, Material Feel, Noise/Grain, Detail Density
5. Density Patterns
- Whitespace Ratio, Element Clustering, Information Density
Output Format
| Pattern | Category | Frequency | Use Cases | Avoid |
|---|---|---|---|---|
| High Contrast Headlines | Contrast | 80% | Hero sections | Body text |
| Organic Corner Radius | Shape | 60% | Cards, buttons | Data tables |
Constraints
- Extract patterns, don't create new ones
- Quantify observations (percentages, ratios)
- Always note both use cases AND anti-patterns