aesthetic-pattern-miner

Name: aesthetic-pattern-miner
Availability: InStock
Author: cantagestudio

Extract recurring visual patterns from reference materials into categorized pattern tables.

3|Updated Dec 22, 2025

Search Tags:#library #patterns #aesthetics #pattern-mining #visual

Ready to run

npx skills add https://github.com/CANTAGESTUDIO/CosmicAtlasPacker --skill aesthetic-pattern-miner

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: aesthetic-pattern-miner
Source: https://github.com/CANTAGESTUDIO/CosmicAtlasPacker/tree/main/.claude/skills/aesthetic-pattern-miner
Command: npx skills add https://github.com/CANTAGESTUDIO/CosmicAtlasPacker --skill aesthetic-pattern-miner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extracts recurring visual patterns from references and catalogs them as an Aesthetic Pattern Library.

Core Features & Use Cases

Pattern Categories: Contrast, Shape, Rhythm, Texture, Density patterns.
Output: Data-Sheet-like library entries for Brain canvas.
Constraints: Quantifies observations and documents use cases and anti-patterns.

Quick Start

Provide reference materials; the skill generates a pattern library for design review.

Frequently Asked Questions about aesthetic-pattern-miner

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

FAQPage Schema

How do I extract and catalog visual patterns from design references?▼

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.

What visual pattern categories does this tool analyze?▼

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.

Can I use pattern mining to build a design system library?▼

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.

What format does the pattern library output in?▼

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.

How does pattern frequency quantification work?▼

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.

What should I provide as reference materials for pattern extraction?▼

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.