aesthetic-pattern-miner

Extract visual patterns by analyzing reference materials for recurring design elements across Contrast, Shape, Rhythm, Texture, and Density categories. The Skill generates a structured pattern library with fields for Pattern name, Category, Frequency (as percentages or ratios), Use Cases, and anti-patterns to avoid, suitable for Brain canvas Aesthetic Pattern Library documentation.

Pattern analysis covers five core categories: Contrast (tonal and color relationships), Shape (geometric and organic forms), Rhythm (repetition and pacing), Texture (surface qualities), and Density (spatial distribution). Each category is quantified with frequency observations and documented use cases for design application.

Yes. Pattern mining extracts recurring visual patterns from your reference materials and outputs them as a data-sheet-like library formatted for design review and system documentation. The structured output with use cases and constraints supports UI components, brand references, and design project standardization.

The Skill produces a structured pattern table with columns for Pattern, Category, Frequency (quantified as percentages or ratios), Use Cases, and Avoid (anti-patterns). Output is formatted as library entries compatible with Brain canvas for design projects and brand reference systems.

Observations are quantified as percentages or ratios rather than subjective descriptions. Frequency measurement provides objective data on how often each pattern appears across reference materials, enabling data-driven decisions about pattern prominence and design system priorities.

Provide visual reference materials—design mockups, brand assets, UI examples, or inspiration images—that represent your design domain. The Skill analyzes these references to identify and catalog patterns within the five specified categories (Contrast, Shape, Rhythm, Texture, Density) for library creation.