react:components
Converts Stitch designs into modular Vite and React components using system-level networking and AST-based validation.
What this skill does
# 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 in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
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