KS
Killer-Skills

react:components — how to use react:components how to use react:components, react:components setup guide, react:components vs Webpack, what is react:components, react:components alternative to Create React App, install react:components, react:components and Vite integration, react:components AST-based validation, react:components system-level networking

Verified
v1.0.0
GitHub

About this Skill

Perfect for Frontend Agents needing automated React component generation from Stitch designs. react:components is a skill that leverages system-level networking and AST-based validation to generate modular Vite and React components from Stitch designs.

Features

Namespace discovery via `list_tools` command
Metadata fetch using `[prefix]:get_screen` call
AST-based validation for ensuring code quality
Modular component generation using Vite and React
System-level networking for efficient design retrieval
Automated checks for existing designs before download

# Core Topics

google-labs-code google-labs-code
[2.2k]
[256]
Updated: 3/6/2026

Quality Score

Top 5%
64
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add google-labs-code/stitch-skills/react-components

Agent Capability Analysis

The react:components MCP Server by google-labs-code is an open-source Categories.official integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use react:components, react:components setup guide, react:components vs Webpack.

Ideal Agent Persona

Perfect for Frontend Agents needing automated React component generation from Stitch designs.

Core Value

Empowers agents to convert Stitch designs into modular Vite and React components using system-level networking and AST-based validation, leveraging protocols like namespace discovery and metadata fetch via calls such as `list_tools` and `[prefix]:get_screen`.

Capabilities Granted for react:components MCP Server

Converting Stitch designs into modular React components
Validating React code quality using AST-based validation
Automating the retrieval of design JSON metadata

! Prerequisites & Limits

  • Requires knowledge of Stitch MCP prefix
  • Dependent on Vite and React ecosystems
  • Needs system-level networking capabilities
Project
SKILL.md
3.2 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

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. Check for existing designs: Before downloading, check if .stitch/designs/{page}.html and .stitch/designs/{page}.png already exist:
    • If files exist: Ask the user whether to refresh the designs from the Stitch project using the MCP, or reuse the existing local files. Only re-download if the user confirms.
    • If files do not exist: Proceed to step 4.
  4. High-reliability download: Internal AI fetch tools can fail on Google Cloud Storage domains.
    • HTML: bash scripts/fetch-stitch.sh "[htmlCode.downloadUrl]" ".stitch/designs/{page}.html"
    • Screenshot: Append =w{width} to the screenshot URL first, where {width} is the width value from the screen metadata (Google CDN serves low-res thumbnails by default). Then run: bash scripts/fetch-stitch.sh "[screenshot.downloadUrl]=w{width}" ".stitch/designs/{page}.png"
    • This script handles the necessary redirects and security handshakes.
  5. Visual audit: Review the downloaded screenshot (.stitch/designs/{page}.png) to confirm 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.

Related Skills

Looking for an alternative to react:components or building a Categories.official AI Agent? Explore these related open-source MCP Servers.

View All

flags

Logo of facebook
facebook

flags is a feature flag management system that enables developers to check flag states, compare channels, and debug feature behavior differences across release channels.

243.6k
0
Design

extract-errors

Logo of facebook
facebook

extract-errors is a skill that assists in extracting and managing error codes in React applications using yarn extract-errors command.

243.6k
0
Design

fix

Logo of facebook
facebook

fix is a technical skill that resolves lint errors, formatting issues, and ensures code quality in declarative, frontend, and UI projects

243.6k
0
Design

flow

Logo of facebook
facebook

Flow is a type checking system for JavaScript, used to validate React code and ensure consistency across applications

243.6k
0
Design