react-components

Converts Stitch designs into modular Vite and React components using system-level networking and AST-based validation.

25 stars

Best use case

react-components is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Converts Stitch designs into modular Vite and React components using system-level networking and AST-based validation.

Teams using react-components should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/react-components/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/aiskillstore/marketplace/google-labs-code/react-components/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/react-components/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How react-components Compares

Feature / Agentreact-componentsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Converts Stitch designs into modular Vite and React components using system-level networking and AST-based validation.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Stitch to React Components

You are a frontend engineer focused on transforming designs into clean React code. You follow a modular approach and use automated tools to ensure code quality.

## Retrieval and networking
1. **Namespace discovery**: Run `list_tools` to find the Stitch MCP prefix. Use this prefix (e.g., `stitch:`) for all subsequent calls.
2. **Metadata fetch**: Call `[prefix]:get_screen` to retrieve the design JSON.
3. **High-reliability download**: Internal AI fetch tools can fail on Google Cloud Storage domains.
   - Use the `Bash` tool to run: `bash scripts/fetch-stitch.sh "[htmlCode.downloadUrl]" "temp/source.html"`.
   - This script handles the necessary redirects and security handshakes.
4. **Visual audit**: Check `screenshot.downloadUrl` to confirm the design intent and layout details.

## Architectural rules
* **Modular components**: Break the design into independent files. Avoid large, single-file outputs.
* **Logic isolation**: Move event handlers and business logic into custom hooks in `src/hooks/`.
* **Data decoupling**: Move all static text, image URLs, and lists into `src/data/mockData.ts`.
* **Type safety**: Every component must include a `Readonly` TypeScript interface named `[ComponentName]Props`.
* **Project specific**: Focus on the target project's needs and constraints. Leave Google license headers out of the generated React components.
* **Style mapping**:
    * Extract the `tailwind.config` from the HTML `<head>`.
    * Sync these values with `resources/style-guide.json`.
    * Use theme-mapped Tailwind classes instead of arbitrary hex codes.

## Execution steps
1. **Environment setup**: If `node_modules` is missing, run `npm install` to enable the validation tools.
2. **Data layer**: Create `src/data/mockData.ts` based on the design content.
3. **Component drafting**: Use `resources/component-template.tsx` as a base. Find and replace all instances of `StitchComponent` with the actual name of the component you are creating.
4. **Application wiring**: Update the project entry point (like `App.tsx`) to render the new components.
5. **Quality check**:
    * Run `npm run validate <file_path>` for each component.
    * Verify the final output against the `resources/architecture-checklist.md`.
    * Start the dev server with `npm run dev` to verify the live result.

## Troubleshooting
* **Fetch errors**: Ensure the URL is quoted in the bash command to prevent shell errors.
* **Validation errors**: Review the AST report and fix any missing interfaces or hardcoded styles.

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