google-labs-code

design-md

686
49
# Install this skill:
npx skills add google-labs-code/stitch-skills

Or install specific skill: npx add-skill https://github.com/google-labs-code/stitch-skills/tree/main/skills/design-md

# Description

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files

# SKILL.md


name: design-md
description: Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files
allowed-tools:
- "stitch:"
- "Read"
- "Write"
- "web_fetch"


Stitch DESIGN.md Skill

You are an expert Design Systems Lead. Your goal is to analyze the provided technical assets and synthesize a "Semantic Design System" into a file named DESIGN.md.

Overview

This skill helps you create DESIGN.md files that serve as the "source of truth" for prompting Stitch to generate new screens that align perfectly with existing design language. Stitch interprets design through "Visual Descriptions" supported by specific color values.

Prerequisites

  • Access to the Stitch MCP Server
  • A Stitch project with at least one designed screen
  • Access to the Stitch Effective Prompting Guide: https://stitch.withgoogle.com/docs/learn/prompting/

The Goal

The DESIGN.md file will serve as the "source of truth" for prompting Stitch to generate new screens that align perfectly with the existing design language. Stitch interprets design through "Visual Descriptions" supported by specific color values.

Retrieval and Networking

To analyze a Stitch project, you must retrieve screen metadata and design assets using the Stitch MCP Server tools:

  1. Namespace discovery: Run list_tools to find the Stitch MCP prefix. Use this prefix (e.g., mcp_stitch:) for all subsequent calls.

  2. Project lookup (if Project ID is not provided):

  3. Call [prefix]:list_projects with filter: "view=owned" to retrieve all user projects
  4. Identify the target project by title or URL pattern
  5. Extract the Project ID from the name field (e.g., projects/13534454087919359824)

  6. Screen lookup (if Screen ID is not provided):

  7. Call [prefix]:list_screens with the projectId (just the numeric ID, not the full path)
  8. Review screen titles to identify the target screen (e.g., "Home", "Landing Page")
  9. Extract the Screen ID from the screen's name field

  10. Metadata fetch:

  11. Call [prefix]:get_screen with both projectId and screenId (both as numeric IDs only)
  12. This returns the complete screen object including:

    • screenshot.downloadUrl - Visual reference of the design
    • htmlCode.downloadUrl - Full HTML/CSS source code
    • width, height, deviceType - Screen dimensions and target platform
    • Project metadata including designTheme with color and style information
  13. Asset download:

  14. Use web_fetch or read_url_content to download the HTML code from htmlCode.downloadUrl
  15. Optionally download the screenshot from screenshot.downloadUrl for visual reference
  16. Parse the HTML to extract Tailwind classes, custom CSS, and component patterns

  17. Project metadata extraction:

  18. Call [prefix]:get_project with the project name (full path: projects/{id}) to get:
    • designTheme object with color mode, fonts, roundness, custom colors
    • Project-level design guidelines and descriptions
    • Device type preferences and layout principles

Analysis & Synthesis Instructions

1. Extract Project Identity (JSON)

  • Locate the Project Title
  • Locate the specific Project ID (e.g., from the name field in the JSON)

2. Define the Atmosphere (Image/HTML)

Evaluate the screenshot and HTML structure to capture the overall "vibe." Use evocative adjectives to describe the mood (e.g., "Airy," "Dense," "Minimalist," "Utilitarian").

3. Map the Color Palette (Tailwind Config/JSON)

Identify the key colors in the system. For each color, provide:
- A descriptive, natural language name that conveys its character (e.g., "Deep Muted Teal-Navy")
- The specific hex code in parentheses for precision (e.g., "#294056")
- Its specific functional role (e.g., "Used for primary actions")

4. Translate Geometry & Shape (CSS/Tailwind)

Convert technical border-radius and layout values into physical descriptions:
- Describe rounded-full as "Pill-shaped"
- Describe rounded-lg as "Subtly rounded corners"
- Describe rounded-none as "Sharp, squared-off edges"

5. Describe Depth & Elevation

Explain how the UI handles layers. Describe the presence and quality of shadows (e.g., "Flat," "Whisper-soft diffused shadows," or "Heavy, high-contrast drop shadows").

Output Guidelines

  • Language: Use descriptive design terminology and natural language exclusively
  • Format: Generate a clean Markdown file following the structure below
  • Precision: Include exact hex codes for colors while using descriptive names
  • Context: Explain the "why" behind design decisions, not just the "what"

Output Format (DESIGN.md Structure)

# Design System: [Project Title]
**Project ID:** [Insert Project ID Here]

## 1. Visual Theme & Atmosphere
(Description of the mood, density, and aesthetic philosophy.)

## 2. Color Palette & Roles
(List colors by Descriptive Name + Hex Code + Functional Role.)

## 3. Typography Rules
(Description of font family, weight usage for headers vs. body, and letter-spacing character.)

## 4. Component Stylings
* **Buttons:** (Shape description, color assignment, behavior).
* **Cards/Containers:** (Corner roundness description, background color, shadow depth).
* **Inputs/Forms:** (Stroke style, background).

## 5. Layout Principles
(Description of whitespace strategy, margins, and grid alignment.)

Usage Example

To use this skill for the Furniture Collection project:

  1. Retrieve project information:
    Use the Stitch MCP Server to get the Furniture Collection project

  2. Get the Home page screen details:
    Retrieve the Home page screen's code, image, and screen object information

  3. Reference best practices:
    Review the Stitch Effective Prompting Guide at: https://stitch.withgoogle.com/docs/learn/prompting/

  4. Analyze and synthesize:

  5. Extract all relevant design tokens from the screen
  6. Translate technical values into descriptive language
  7. Organize information according to the DESIGN.md structure

  8. Generate the file:

  9. Create DESIGN.md in the project directory
  10. Follow the prescribed format exactly
  11. Ensure all color codes are accurate
  12. Use evocative, designer-friendly language

Best Practices

  • Be Descriptive: Avoid generic terms like "blue" or "rounded." Use "Ocean-deep Cerulean (#0077B6)" or "Gently curved edges"
  • Be Functional: Always explain what each design element is used for
  • Be Consistent: Use the same terminology throughout the document
  • Be Visual: Help readers visualize the design through your descriptions
  • Be Precise: Include exact values (hex codes, pixel values) in parentheses after natural language descriptions

Tips for Success

  1. Start with the big picture: Understand the overall aesthetic before diving into details
  2. Look for patterns: Identify consistent spacing, sizing, and styling patterns
  3. Think semantically: Name colors by their purpose, not just their appearance
  4. Consider hierarchy: Document how visual weight and importance are communicated
  5. Reference the guide: Use language and patterns from the Stitch Effective Prompting Guide

Common Pitfalls to Avoid

  • ❌ Using technical jargon without translation (e.g., "rounded-xl" instead of "generously rounded corners")
  • ❌ Omitting color codes or using only descriptive names
  • ❌ Forgetting to explain functional roles of design elements
  • ❌ Being too vague in atmosphere descriptions
  • ❌ Ignoring subtle design details like shadows or spacing patterns

# README.md

Stitch Agent Skills

A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.

Installation & Discovery

Install any skill from this repository using the add-skill CLI. This command will automatically detect your active coding agents and place the skill in the appropriate directory.

# List all available skills in this repository
npx add-skill google-labs-code/stitch-skills --list

# Install a specific skill (e.g., Stitch to React Components)
npx add-skill google-labs-code/stitch-skills --skill react:components --global

Available Skills

design-md

Analyzes Stitch projects and generates comprehensive DESIGN.md files documenting design systems in natural, semantic language optimized for Stitch screen generation.

react-components

Converts Stitch screens to React component systems with automated validation and design token consistency.

Repository Structure

Every directory within skills/ or at the root level follows a standardized structure to ensure the AI agent has everything it needs to perform "few-shot" learning and automated quality checks.

skills/[category]/
β”œβ”€β”€ SKILL.md           β€” The "Mission Control" for the agent
β”œβ”€β”€ scripts/           β€” Executable enforcers (Validation & Networking)
β”œβ”€β”€ resources/         β€” The knowledge base (Checklists & Style Guides)
└── examples/          β€” The "Gold Standard" syntactically valid references

Adding New Skills

All new skills need to follow the file structure above to implement the Agent Skills open standard.

Great candidates for new skills

  • Validation: Skills that convert Stitch HTML to other UI frameworks and validate the syntax.
  • Decoupling Data: Skills that convert static design content into external mock data files.
  • Generate Designs: Skills that generate new design screens in Stitch from a given set of data.

This is not an officially supported Google product. This project is not eligible for the Google Open Source Software Vulnerability Rewards Program.

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.