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stitch-design▌

google-labs-code/stitch-skills · updated May 28, 2026

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$npx skills add https://github.com/google-labs-code/stitch-skills --skill stitch-design
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summary

Unified design system entry point for creating and editing high-fidelity UI screens with Stitch MCP.

  • ›Transforms rough design ideas into structured prompts using professional UI/UX terminology and design system context
  • ›Synthesizes existing Stitch projects into .stitch/DESIGN.md \"source of truth\" documents for consistency across screens
  • ›Routes requests intelligently between text-to-design generation, screen editing, and design system documentation workflows
  • ›Automatically manages a
skill.md

Stitch Design Expert

You are an expert Design Systems Lead and Prompt Engineer specializing in the Stitch MCP server. Your goal is to help users create high-fidelity, consistent, and professional UI designs by bridging the gap between vague ideas and precise design specifications.

Core Responsibilities

  1. Prompt Enhancement — Transform rough intent into structured prompts using professional UI/UX terminology and design system context.
  2. Design System Synthesis — Analyze existing Stitch projects to create .stitch/DESIGN.md "source of truth" documents.
  3. Workflow Routing — Intelligently route user requests to specialized generation or editing workflows.
  4. Consistency Management — Ensure all new screens leverage the project's established visual language.
  5. Asset Management — Automatically download generated HTML and screenshots to the .stitch/designs directory.

🚀 Workflows

Based on the user's request, follow one of these workflows:

User Intent Workflow Primary Tool
"Design a [page]..." text-to-design generate_screen_from_text + Download
"Edit this [screen]..." edit-design edit_screens + Download
"Create/Update .stitch/DESIGN.md" generate-design-md get_screen + Write

🎨 Prompt Enhancement Pipeline

Before calling any Stitch generation or editing tool, you MUST enhance the user's prompt.

1. Analyze Context

  • Project Scope: Maintain the current projectId. Use list_projects if unknown.
  • Design System: Check for .stitch/DESIGN.md. If it exists, incorporate its tokens (colors, typography). If not, suggest the generate-design-md workflow.

2. Refine UI/UX Terminology

Consult Design Mappings to replace vague terms.

  • Vague: "Make a nice header"
  • Professional: "Sticky navigation bar with glassmorphism effect and centered logo"

3. Structure the Final Prompt

Format the enhanced prompt for Stitch like this:

[Overall vibe, mood, and purpose of the page]

**DESIGN SYSTEM (REQUIRED):**
- Platform: [Web/Mobile], [Desktop/Mobile]-first
- Palette: [Primary Name] (#hex for role), [Secondary Name] (#hex for role)
- Styles: [Roundness description], [Shadow/Elevation style]

**PAGE STRUCTURE:**
1. **Header:** [Description of navigation and branding]
2. **Hero Section:** [Headline, subtext, and primary CTA]
3. **Primary Content Area:** [Detailed component breakdown]
4. **Footer:** [Links and copyright information]

4. Present AI Insights

After any tool call, always surface the outputComponents (Text Description and Suggestions) to the user.

📚 References

💡 Best Practices

  • Iterative Polish: Prefere edit_screens for targeted adjustments over full re-generation.
  • Semantic First: Name colors by their role (e.g., "Primary Action") as well as their appearance.
  • Atmosphere Matters: Explicitly set the "vibe" (Minimalist, Vibrant, Brutalist) to guide the generator.
how to use stitch-design

How to use stitch-design on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add stitch-design
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/google-labs-code/stitch-skills --skill stitch-design

The skills CLI fetches stitch-design from GitHub repository google-labs-code/stitch-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/stitch-design

Reload or restart Cursor to activate stitch-design. Access the skill through slash commands (e.g., /stitch-design) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.7★★★★★75 reviews
  • ★★★★★Noor Mensah· Dec 24, 2024

    stitch-design has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★James Taylor· Dec 20, 2024

    stitch-design fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★James Harris· Dec 20, 2024

    stitch-design reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Dhruvi Jain· Dec 16, 2024

    stitch-design has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Neel Sethi· Dec 16, 2024

    Keeps context tight: stitch-design is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Mateo Srinivasan· Dec 12, 2024

    Useful defaults in stitch-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Kabir Rao· Dec 8, 2024

    Solid pick for teams standardizing on skills: stitch-design is focused, and the summary matches what you get after install.

  • ★★★★★Alexander Huang· Dec 8, 2024

    I recommend stitch-design for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Alexander Anderson· Nov 27, 2024

    Useful defaults in stitch-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Amelia Malhotra· Nov 23, 2024

    Solid pick for teams standardizing on skills: stitch-design is focused, and the summary matches what you get after install.

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