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.

$ Installer

git clone https://github.com/CANTAGESTUDIO/CosmicAtlasPacker /tmp/CosmicAtlasPacker && cp -r /tmp/CosmicAtlasPacker/.claude/skills/aesthetic-pattern-miner ~/.claude/skills/CosmicAtlasPacker

// tip: Run this command in your terminal to install the skill

SKILL.md

View on GitHub →

name: aesthetic-pattern-miner description: "[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."

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