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ai-component-metadata

Generate AI-ready metadata from TypeScript/JSX component files.

4|1|Updated Oct 29, 2025
Search Tags:#typescript#react#design systems#ai integration#ui components#metadata generation#component analysis
One-click install
npx skills add https://github.com/bacchus-labs/wrangler --skill ai-component-metadata
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-component-metadata
Source: https://github.com/bacchus-labs/wrangler/tree/main/.wrangler/memory/knowledge-base/reference-prompts/skills/ui-related-skills/ai-component-metadata
Command: npx skills add https://github.com/bacchus-labs/wrangler --skill ai-component-metadata

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the generation of structured, AI-consumable metadata for design system components, enabling intelligent UI generation and improving component discoverability.

Core Features & Use Cases

  • Metadata Generation: Analyzes component code (React/TypeScript) to extract key information like props, variants, states, and accessibility attributes.
  • AI Understanding: Creates metadata that helps AI agents understand how and when to use components correctly within applications.
  • Use Case: When building a new feature, an AI agent can query this metadata to find and correctly implement existing UI components (e.g., a Button with a specific variant and size) instead of creating new ones.

Quick Start

Use the ai-component-metadata skill to generate metadata for the component file 'path/to/Component.tsx'.

Frequently Asked Questions about ai-component-metadata

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

FAQPage Schema
How do I generate AI-ready metadata for React UI components?▼

You generate AI-ready metadata for React components by analyzing their TypeScript/JSX code structure to extract props, variants, states, and accessibility attributes into a structured TSX format. This process enables AI agents to correctly understand and implement UI components.

What is AI-ready metadata for design systems and when do I need it?▼

AI-ready metadata for design systems is structured component information including code structure, props, variants, and accessibility attributes. You need it when building features where AI agents must discover and correctly implement existing UI components instead of generating redundant new ones.

Can I use this to extract metadata from TypeScript components for AI integration?▼

Yes, you can extract metadata from TypeScript components for AI integration by analyzing the component files. It processes React/TypeScript code to produce structured TSX metadata that helps AI agents understand how and when to use specific components within applications.

What's the best way to help AI agents understand my design system components?▼

The best way to help AI agents understand design system components is to generate structured, AI-consumable metadata that documents props, variants, states, and accessibility attributes. This allows agents to query and correctly implement existing UI elements during feature development.

How do I analyze component code to extract props and accessibility attributes?▼

You analyze component code by processing TypeScript/JSX files to automatically extract key information like props, variants, states, and accessibility attributes. This analysis produces structured metadata that facilitates component discoverability and intelligent UI generation.

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