extract/SKILL.md
Extract and consolidate reusable components, design tokens, and patterns into your design system. Identifies opportunities for systematic reuse and enriches your component library.
npx skillsauth add atxinsky/skills extractInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Identify reusable patterns, components, and design tokens, then extract and consolidate them into the design system for systematic reuse.
Analyze the target area to identify extraction opportunities:
Find the design system: Locate your design system, component library, or shared UI directory (grep for "design system", "ui", "components", etc.). Understand its structure:
CRITICAL: If no design system exists, ask before creating one. Understand the preferred location and structure first.
Identify patterns: Look for:
Assess value: Not everything should be extracted. Consider:
Create a systematic extraction plan:
IMPORTANT: Design systems grow incrementally. Extract what's clearly reusable now, not everything that might someday be reusable.
Build improved, reusable versions:
Components: Create well-designed components with:
Design tokens: Create tokens with:
Patterns: Document patterns with:
NEVER:
Replace existing uses with the new shared versions:
Update design system documentation:
Remember: A good design system is a living system. Extract patterns as they emerge, enrich them thoughtfully, and maintain them consistently.
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
testing
Use when creating new skills, editing existing skills, or verifying skills work before deployment
development
Use when you have a spec or requirements for a multi-step task, before touching code
documentation
Create detailed implementation plan with bite-sized tasks