cris-achiardi/claude-skills/ai-component-metadata
Claude Code and agent skill by cris-achiardi/claude-skills
- community
Checking that the SKILL.md file is still in the repository.
Generate AI-ready metadata for design system components to enable intelligent UI generation. Analyzes component structure and generates structured metadata that helps AI understand when and how to use components correctly. Useful for teams building AI-consumable design systems.
Install
npx vskill@latest install cris-achiardi/claude-skills/ai-component-metadataSKILL.md
AI Component Metadata Generator
Generate structured, AI-consumable metadata for design system components to enable intelligent UI generation and component usage.
Quick Start
When analyzing a component, use the metadata schema template in scripts/generate_metadata.py or follow the manual process below:
Core Workflow
1. Analyze Component Structure
Identify:
- Component composition (slots, children)
- Available variants and states
- Props and their types
- Accessibility attributes
2. Generate Metadata
Create metadata following this schema:
3. Validate Metadata
- Test with AI generation tasks
- Verify in Storybook
- Ensure examples are runnable
Component Categories
- atoms: Basic building blocks (Button, Text, Input)
- molecules: Simple combinations (Card, Chip, FormField)
- organisms: Complex components (Header, Table, Form)
Advanced Features
For complex scenarios, see:
- Nested components: NESTED.md
- Integration patterns: INTEGRATION.md
- Testing strategies: TESTING.md
Working with Figma
When combining with Figma MCP:
Best Practices
- Keep examples real - Use actual, runnable code
- Focus on patterns - Document common usage patterns
- Include anti-patterns - Help AI avoid mistakes
- Validate through usage - Test with actual AI generation
Success Metrics
Your metadata is effective when:
- AI uses existing components instead of recreating
- Correct variants are selected based on context
- Accessibility is maintained in generated code
- Patterns are consistent across AI outputs
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/ai-component-metadata/SKILL.md
Popularity
- Repository stars
- 70
- Repository forks
- 8
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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