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.
When & Why to Use This Skill
The Aesthetic Pattern Miner is a specialized Claude skill designed to automate the extraction and cataloging of recurring visual patterns from design references. By systematically analyzing contrast, shapes, rhythm, textures, and density, it transforms visual inspiration into a structured Aesthetic Pattern Library. This tool is essential for maintaining design consistency, informing creative direction, and providing data-driven insights for visual projects.
Use Cases
- Brand Identity Development: Analyzing mood boards and reference materials to define a cohesive visual language, including specific contrast habits and shape repetitions.
- Design System Auditing: Quantifying existing UI patterns across various platforms to ensure consistency in corner radii, spacing rhythms, and information density.
- Competitive Visual Analysis: Extracting and comparing the aesthetic patterns of competitors to identify unique design opportunities and market positioning.
- Creative Briefing & QA: Generating data-backed visual guidelines for design teams and using the pattern library to perform quality checks against established aesthetic standards.
| 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