Design Lead
How We Extract Design Tokens From Figma
How We Extract Design Tokens From Figma and Feed Them Directly Into Code
Key Takeaway
We built an agent that reads Figma files via API, extracts every design token β colors, fonts, spacing, component specs β and outputs production-ready JSON/CSS variables in 10 minutes flat.
The Problem
The designer-to-developer handoff is broken. Has been for years.
Here's how it typically works: Designer finishes a screen in Figma. Posts it in Slack. Developer asks "what's the exact hex for that blue?" Designer says "it's in the style guide." Developer can't find it. Opens Zeplin. Zeplin hasn't synced. Back to Slack. "Can you export the spacing values?" Three days later, the component ships with hardcoded colors and magic numbers everywhere.
At PyratzLabs, we run 31 AI agents across 8 teams. When our design team hands off to engineering, we can't afford a 2-3 day feedback loop for every screen. We needed tokens to flow from Figma to code like water β no human bottleneck, no interpretation errors, no "I think it was 16px."
The tools that exist β Zeplin, Storybook, Figma's own dev mode β they help. But they still require a human to translate design intent into code variables. That translation step is where bugs breed.
The Solution
We pointed an Mr.Chief agent at the Figma API. Read-only access. No plugins, no Figma extensions, no third-party SaaS.
The agent reads the Figma file tree, walks every node, extracts style definitions, and outputs structured design tokens in whatever format your codebase needs: JSON, CSS custom properties, Tailwind config, or styled-components theme objects.
One command. One output. Zero interpretation.
The Process (with code/config snippets)
The workflow is dead simple. You give the agent a Figma file URL and tell it what you want:
View details
Extract all design tokens from this Figma file:
https://www.figma.com/file/abc123/Design-System-v3
Output as:
1. JSON token file
2. Tailwind theme config
3. CSS custom properties
The agent calls the Figma REST API with a read-only personal access token:
bashShow code
# The agent constructs API calls like:
GET https://api.figma.com/v1/files/{file_key}
GET https://api.figma.com/v1/files/{file_key}/styles
It parses the response tree β every FRAME, TEXT, RECTANGLE, COMPONENT node β and extracts:
- Colors: Fill colors, stroke colors, effect colors β mapped to semantic names
- Typography: Font family, weight, size, line height, letter spacing β type scale
- Spacing: Auto-layout padding, gaps, component spacing β spacing scale
- Shadows: Drop shadows, inner shadows β elevation tokens
- Border radius: Corner radius values β radius scale
Output looks like this:
jsonShow code
{
"colors": {
"primary-500": "#6366F1",
"primary-600": "#4F46E5",
"neutral-50": "#FAFAFA",
"neutral-900": "#171717",
"success-500": "#22C55E",
"error-500": "#EF4444"
},
"typography": {
"heading-xl": {
"fontFamily": "Inter",
"fontWeight": 700,
"fontSize": "36px",
"lineHeight": "44px"
},
"body-md": {
"fontFamily": "Inter",
"fontWeight": 400,
"fontSize": "16px",
"lineHeight": "24px"
}
},
"spacing": {
"xs": "4px",
"sm": "8px",
"md": "16px",
"lg": "24px",
"xl": "32px"
}
}
And the Tailwind config:
jsShow code
// tailwind.config.js (auto-generated)
module.exports = {
theme: {
extend: {
colors: {
primary: { 500: '#6366F1', 600: '#4F46E5' },
neutral: { 50: '#FAFAFA', 900: '#171717' },
success: { 500: '#22C55E' },
error: { 500: '#EF4444' },
},
fontFamily: {
sans: ['Inter', 'sans-serif'],
},
spacing: {
xs: '4px', sm: '8px', md: '16px', lg: '24px', xl: '32px',
},
},
},
};
No ambiguity. No "I think the designer meant 16px." It's 16px because that's what's in the Figma file.
The Results
| Metric | Before (Manual) | After (Agent) |
|---|---|---|
| Handoff time | 2-3 days | 10 minutes |
| Token accuracy | ~85% (human error) | 100% (API read) |
| Format coverage | 1 (manual CSS) | 4 (JSON, CSS, Tailwind, SC) |
| Cost per handoff | ~$500 (designer time) | $0 |
| Drift detection | None | Every commit |
The biggest win isn't speed β it's accuracy. When a developer manually copies a hex code, they get it wrong about 15% of the time. Transposed digits, wrong shade, outdated value. The agent reads the source of truth directly. Zero drift.
Try It Yourself
You need two things: a Figma personal access token (free, read-only) and an Mr.Chief agent with web access.
- Generate a Figma token at
figma.com/developers - Point the agent at your file URL
- Specify your output format
The agent handles the rest. No plugins to install, no build pipeline to configure.
If your design tokens aren't in code within 15 minutes of a design change, you're wasting engineering time on translation work that a machine does better.
Design tokens aren't a nice-to-have. They're the contract between design and code. We just automated the notary.
Related case studies
Design Lead
Exporting Every Asset From a Figma Project β All Formats, One Command
We export every component from a Figma file β SVG, PNG at 1x/2x/3x, and PDF β organized by page and frame with deterministic naming conventions, in 2 minutes flat.
Design Lead
Generating Design Documentation From Figma for Developer Handoff
An AI agent reads a Figma file and outputs a complete design system doc β component inventory, spacing, colors, typography, interaction specs β as markdown and JSON in 5 minutes.
Product Designer
Our AI Agent Designed a Complete Design System
We described our brand in plain text and received a complete design system in 3 hours: color palette with semantic tokens, typography scale, component library, spacing system, and a Figma file β replacing a 2-4 week agency sprint.
Want results like these?
Start free with your own AI team. No credit card required.