design-md-chrome-extractor
Skill by ara.so — Design Skills collection.
Overview
The TypeUI DESIGN.md Extractor is a Chrome extension that analyzes any website and extracts its design system (typography, colors, spacing, radius, shadows, motion) to generate standardized DESIGN.md or SKILL.md files. These files follow the open-source TypeUI format and can be used with AI coding tools like Claude Code, Google Stitch, Codex, and Cursor to replicate design systems.
Key capabilities:
- Auto-extract design tokens from any webpage
- Generate DESIGN.md (design system documentation)
- Generate SKILL.md (AI agent-ready skills)
- Download extracted files for immediate use
- Refresh extraction on page state changes
Installation
From Chrome Web Store
Install directly from: https://chromewebstore.google.com/detail/designmd-style-extractor/ogpdnchdjiibhobphelbbkemnnemkfma
Local Development Installation
- Clone the repository:
git clone https://github.com/bergside/design-md-chrome.git
cd design-md-chrome
Load in Chrome:
- Open
chrome://extensions - Enable Developer mode (toggle in top-right)
- Click Load unpacked
- Select the
design-md-chromeproject folder
- Open
Verify installation:
- Extension icon should appear in Chrome toolbar
- Pin it for easy access
Usage Patterns
Basic Extraction Workflow
- Navigate to target website (e.g.,
https://stripe.com) - Click the extension icon in toolbar
- Click "Auto-extract" button
- Review extracted design tokens in popup
- Generate DESIGN.md or SKILL.md
- Download the file
Programmatic Extraction (Content Script)
The extension injects content.js which performs extraction:
// Core extraction happens via message passing
chrome.runtime.sendMessage({
action: 'extract',
url: window.location.href
}, (response) => {
console.log('Extracted tokens:', response.tokens);
});
Style Token Structure
Extracted tokens follow this structure:
{
typography: {
fontFamilies: ['Inter', 'system-ui', 'sans-serif'],
fontSizes: ['12px', '14px', '16px', '20px', '24px', '32px'],
fontWeights: ['400', '500', '600', '700'],
lineHeights: ['1.2', '1.5', '1.6']
},
colors: {
primary: ['#635BFF', '#0A2540'],
neutral: ['#FFFFFF', '#F6F9FC', '#E3E8EE'],
semantic: {
success: '#00D924',
error: '#DF1B41',
warning: '#FFC043'
}
},
spacing: ['4px', '8px', '12px', '16px', '24px', '32px', '48px', '64px'],
radius: ['0px', '4px', '8px', '12px', '16px', '9999px'],
shadows: [
'0 1px 3px rgba(0,0,0,0.1)',
'0 4px 6px rgba(0,0,0,0.1)',
'0 10px 40px rgba(0,0,0,0.15)'
],
motion: {
durations: ['150ms', '200ms', '300ms', '500ms'],
easings: ['ease', 'ease-in-out', 'cubic-bezier(0.4,0,0.2,1)']
}
}
Generated File Structure
DESIGN.md Format
# [Site Name] Design System
## Mission
Define and maintain consistent visual language for [product].
## Brand
- **URL**: https://example.com
- **Audience**: [Developers/Designers/General]
- **Surface**: Web application
## Style Foundations
### Typography
- Font families: Inter, system-ui
- Sizes: 12px, 14px, 16px, 20px, 24px, 32px
- Weights: 400 (regular), 500 (medium), 600 (semibold), 700 (bold)
- Line heights: 1.2 (tight), 1.5 (base), 1.6 (relaxed)
### Colors
**Primary**
- `#635BFF` - Brand primary
- `#0A2540` - Dark navy
**Neutral**
- `#FFFFFF` - White
- `#F6F9FC` - Light gray
- `#E3E8EE` - Medium gray
### Spacing
Scale: 4px, 8px, 12px, 16px, 24px, 32px, 48px, 64px
### Radius
Values: 0px, 4px, 8px, 12px, 16px, 9999px (pill)
## Accessibility
- WCAG 2.2 AA compliance required
- Minimum contrast ratio 4.5:1 for text
- Focus indicators required on all interactive elements
SKILL.md Format
Similar structure but optimized for AI agent consumption with additional sections:
- Component Rule Expectations: State, interaction, accessibility requirements
- Quality Gates: Testable validation criteria
- Guideline Authoring Workflow: Step-by-step implementation process
Extension Architecture
Manifest (manifest.json)
{
"manifest_version": 3,
"name": "DESIGN.MD Style Extractor",
"version": "1.0.0",
"permissions": ["activeTab", "scripting"],
"action": {
"default_popup": "popup.html"
},
"content_scripts": [{
"matches": ["<all_urls>"],
"js": ["content.js"]
}]
}
Message Passing Pattern
Popup → Content Script:
// popup.js
chrome.tabs.query({active: true, currentWindow: true}, (tabs) => {
chrome.tabs.sendMessage(tabs[0].id, {
action: 'extractStyles'
}, (response) => {
displayTokens(response.tokens);
});
});
Content Script → Background:
// content.js
chrome.runtime.onMessage.addListener((request, sender, sendResponse) => {
if (request.action === 'extractStyles') {
const tokens = extractDesignTokens();
sendResponse({tokens});
}
});
API Reference
Extension Actions
| Action | Description | Response |
|---|---|---|
extractStyles |
Scan page for design tokens | {tokens: Object} |
generateDesignMD |
Create DESIGN.md content | {markdown: String} |
generateSkillMD |
Create SKILL.md content | {markdown: String} |
refresh |
Re-run extraction | {tokens: Object} |
download |
Trigger file download | {success: Boolean} |
Core Extraction Functions
// Extract all computed styles from page
function extractDesignTokens() {
const allElements = document.querySelectorAll('*');
const tokens = {
typography: new Set(),
colors: new Set(),
spacing: new Set(),
radius: new Set(),
shadows: new Set()
};
allElements.forEach(el => {
const computed = window.getComputedStyle(el);
// Extract typography
tokens.typography.add(computed.fontFamily);
tokens.typography.add(computed.fontSize);
tokens.typography.add(computed.fontWeight);
// Extract colors
if (computed.color !== 'rgba(0, 0, 0, 0)') {
tokens.colors.add(computed.color);
}
if (computed.backgroundColor !== 'rgba(0, 0, 0, 0)') {
tokens.colors.add(computed.backgroundColor);
}
// Extract spacing
['margin', 'padding'].forEach(prop => {
['Top', 'Right', 'Bottom', 'Left'].forEach(side => {
const value = computed[prop + side];
if (value !== '0px') tokens.spacing.add(value);
});
});
// Extract border radius
if (computed.borderRadius !== '0px') {
tokens.radius.add(computed.borderRadius);
}
// Extract box shadows
if (computed.boxShadow !== 'none') {
tokens.shadows.add(computed.boxShadow);
}
});
return normalizeTokens(tokens);
}
// Normalize and deduplicate tokens
function normalizeTokens(rawTokens) {
return {
typography: {
fontFamilies: Array.from(rawTokens.typography).filter(isFontFamily),
fontSizes: Array.from(rawTokens.typography).filter(isFontSize).sort(),
fontWeights: Array.from(rawTokens.typography).filter(isFontWeight).sort()
},
colors: Array.from(rawTokens.colors).map(normalizeColor),
spacing: Array.from(rawTokens.spacing).sort(numericalSort),
radius: Array.from(rawTokens.radius).sort(numericalSort),
shadows: Array.from(rawTokens.shadows)
};
}
Testing
Run the test suite:
node tests/run-tests.mjs
Test coverage includes:
- Token extraction accuracy
- Markdown generation validity
- Color normalization (rgb → hex)
- Spacing scale deduplication
Common Patterns
Extract and Save Workflow
async function extractAndSave(format = 'DESIGN') {
// 1. Extract tokens
const tokens = await extractDesignTokens();
// 2. Generate markdown
const markdown = format === 'DESIGN'
? generateDesignMD(tokens)
: generateSkillMD(tokens);
// 3. Download file
const blob = new Blob([markdown], {type: 'text/markdown'});
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `${format}.md`;
a.click();
}
Custom Token Filtering
// Filter extracted colors by frequency
function filterFrequentColors(colors, minOccurrences = 5) {
const colorMap = new Map();
colors.forEach(color => {
const normalized = normalizeColor(color);
colorMap.set(normalized, (colorMap.get(normalized) || 0) + 1);
});
return Array.from(colorMap.entries())
.filter(([_, count]) => count >= minOccurrences)
.map(([color, _]) => color);
}
Merge Multiple Extractions
// Combine tokens from multiple pages
function mergeTokens(tokensArray) {
return {
typography: {
fontFamilies: [...new Set(tokensArray.flatMap(t => t.typography.fontFamilies))],
fontSizes: [...new Set(tokensArray.flatMap(t => t.typography.fontSizes))].sort(),
fontWeights: [...new Set(tokensArray.flatMap(t => t.typography.fontWeights))].sort()
},
colors: [...new Set(tokensArray.flatMap(t => t.colors))],
spacing: [...new Set(tokensArray.flatMap(t => t.spacing))].sort(numericalSort),
radius: [...new Set(tokensArray.flatMap(t => t.radius))].sort(numericalSort),
shadows: [...new Set(tokensArray.flatMap(t => t.shadows))]
};
}
Troubleshooting
Extension Not Detecting Styles
Issue: Extracted tokens are empty or incomplete.
Solutions:
- Wait for page to fully load (including dynamic content)
- Refresh extraction after SPA navigation
- Check if styles are in Shadow DOM (requires additional traversal)
- Verify content script has injected:
chrome://extensions→ Inspect views
Download Not Working
Issue: Generated file doesn't download.
Solutions:
// Ensure proper blob MIME type
const blob = new Blob([content], {type: 'text/markdown;charset=utf-8'});
// Add fallback for different browsers
if (navigator.msSaveBlob) {
navigator.msSaveBlob(blob, filename);
} else {
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = filename;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
URL.revokeObjectURL(url);
}
Duplicate Tokens
Issue: Multiple similar values extracted (e.g., 16px and 16.5px).
Solution:
// Round to nearest whole pixel
function roundPixels(value) {
const num = parseFloat(value);
return Math.round(num) + 'px';
}
// Apply tolerance-based deduplication
function deduplicateWithTolerance(values, tolerance = 1) {
return values.reduce((acc, val) => {
const num = parseFloat(val);
if (!acc.some(existing => Math.abs(parseFloat(existing) - num) < tolerance)) {
acc.push(val);
}
return acc;
}, []);
}
Cross-Origin Restrictions
Issue: Cannot extract from iframe with different origin.
Solution: Extension permissions already include <all_urls>, but iframes require explicit traversal:
function extractFromIframes() {
const iframes = document.querySelectorAll('iframe');
iframes.forEach(iframe => {
try {
const iframeDoc = iframe.contentDocument || iframe.contentWindow.document;
// Extract from iframe document
extractDesignTokens(iframeDoc);
} catch (e) {
console.warn('Cannot access iframe:', e);
}
});
}
Integration with AI Coding Tools
Using Extracted DESIGN.md with Claude Code
# Add to project context
cp DESIGN.md .claude/
# Reference in prompts
"Build a button component following DESIGN.md spacing and color tokens"
Using with Cursor
# Add to .cursorrules
cp DESIGN.md .cursorrules/design-system.md
# Reference in code
// Uses spacing-4 (16px) from DESIGN.md
<div className="p-4">
Using with Google Stitch
Upload SKILL.md as a custom skill to enable design-system-aware code generation.
Resources
- Chrome Web Store: https://chromewebstore.google.com/detail/designmd-style-extractor/ogpdnchdjiibhobphelbbkemnnemkfma
- TypeUI Format Spec: https://www.typeui.sh/design-md
- Curated Skills: https://www.typeui.sh/design-skills
- GitHub Repository: https://github.com/bergside/design-md-chrome