ai-component-metadata
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.
How do I install this agent skill?
npx skills add https://github.com/thedesignproject/agent-skills --skill ai-component-metadataIs this agent skill safe to install?
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The AI Component Metadata Generator skill is a development utility for creating AI-ready documentation for design system components. It includes a Python script to automate component analysis and metadata generation. No security vulnerabilities, malicious patterns, or unsafe execution vectors were identified.
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Risk: LOW · No issues
What does this agent skill do?
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:
# Automatic generation (reads component file)
python scripts/generate_metadata.py path/to/Component.tsx
# Or use the template directly
cp assets/metadata-template.tsx your-component-metadata.tsx
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:
export const componentMetadata = {
component: {
name: "ComponentName",
category: "atoms|molecules|organisms",
description: "Brief description",
type: "interactive|display|container|input|navigation"
},
usage: {
useCases: ["primary-use", "secondary-use"],
requiredProps: [],
commonPatterns: [
{
name: "pattern-name",
description: "When to use",
composition: "JSX example"
}
],
antiPatterns: [
{
scenario: "what-not-to-do",
reason: "why",
alternative: "what-instead"
}
]
},
composition: {
slots: {},
nestedComponents: [],
commonPartners: [],
parentConstraints: []
},
behavior: {
states: [],
interactions: {},
responsive: {}
},
accessibility: {
role: "ARIA role",
keyboardSupport: "description",
screenReader: "behavior",
focusManagement: "strategy",
wcag: "AA"
},
aiHints: {
priority: "high|medium|low",
keywords: [],
context: "when to use"
}
}
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:
// Figma provides visual context
const figmaContext = await Figma.get_design_context();
// Your metadata provides behavioral context
const componentMetadata = components.Button.metadata;
// AI combines both for complete understanding
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
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/thedesignproject/agent-skills/ai-component-metadata">View ai-component-metadata on skillZs</a>