Claude Code Design Token Automation from Figma Variables
Design tokens have become the backbone of modern design systems, enabling teams to maintain consistency across products. When combined with Claude Code’s powerful automation capabilities and Figma’s Variables feature, you can create a seamless pipeline that transforms design decisions into code automatically.
What Are Figma Variables?
Figma Variables (formerly Design Tokens) allow designers to define semantic values like colors, typography, spacing, and more that can be referenced throughout designs. These variables bridge the gap between design and development by providing a single source of truth.
Why Automate with Claude Code?
Claude Code excels at:
- Reading and parsing JSON, YAML, and other data formats
- Executing shell commands to run build tools
- Generating code in multiple languages
- Monitoring file changes for automated workflows
Setting Up the Workflow
Step 1: Export Figma Variables
First, install the Token Studio plugin in Figma to export your variables:
- Open your Figma file with variables defined
- Go to Plugins → Token Studio
- Export tokens as JSON using the export option
Step 2: Create the Claude Code Project
Set up your project structure:
mkdir design-token-automation
cd design-token-automation
mkdir -p tokens scripts output
Step 3: Write the Token Processor Script
Create a Python script that transforms Figma tokens into usable code:
#!/usr/bin/env python3
import json
import os
from pathlib import Path
def load_tokens(token_file):
"""Load design tokens from JSON export"""
with open(token_file, 'r') as f:
return json.load(f)
def transform_to_css_variables(tokens):
"""Transform tokens to CSS custom properties"""
css_output = ":root {\n"
def process_token(obj, prefix=""):
for key, value in obj.items():
if isinstance(value, dict):
if "value" in value:
var_name = f"--{prefix}-{key}".replace(".", "-")
css_output += f" {var_name}: {value['value']};\n"
else:
process_token(value, f"{prefix}-{key}")
process_token(tokens)
css_output += "}\n"
return css_output
def transform_to_js_constants(tokens):
"""Transform tokens to JavaScript constants"""
js_output = "export const tokens = "
js_output += json.dumps(tokens, indent=2)
return js_output
def main():
tokens = load_tokens("tokens/design-tokens.json")
css_vars = transform_to_css_variables(tokens)
with open("output/tokens.css", "w") as f:
f.write(css_vars)
js_constants = transform_to_js_constants(tokens)
with open("output/tokens.js", "w") as f:
f.write(js_constants)
print("Tokens transformed successfully!")
if __name__ == "__main__":
main()
Step 4: Create the Claude Code Automation Script
Now create a script that Claude Code can run:
#!/bin/bash
# Design Token Automation Script
# Run with: bash process-tokens.sh # then describe results to claude
echo "🔄 Starting design token automation..."
# Step 1: Check for new tokens
if [ -f "tokens/design-tokens.json" ]; then
echo "📦 Found design tokens, processing..."
# Run the transformation
python3 scripts/transform_tokens.py
# Check if output was generated
if [ -f "output/tokens.css" ]; then
echo "✅ CSS variables generated"
git add output/tokens.css
fi
if [ -f "output/tokens.js" ]; then
echo "✅ JavaScript constants generated"
git add output/tokens.js
fi
# Commit changes
git commit -m "Update design tokens $(date +%Y-%m-%d)"
echo "✅ Token automation complete!"
else
echo "⚠️ No tokens found at tokens/design-tokens.json"
fi
Step 5: Set Up File Watching
Use Claude Code’s ability to monitor file changes:
# Watch for changes in the tokens directory
while true; do
inotifywait -e modify tokens/design-tokens.json 2>/dev/null || sleep 5
echo "🔔 Detected token changes, re-processing..."
python3 scripts/transform_tokens.py
# Optionally auto-commit
git add -A
git commit -m "Auto-update: Design tokens modified" 2>/dev/null || true
done
Advanced: Type-Safe Token Generation
For TypeScript projects, generate type definitions:
// scripts/generate-types.ts
import { writeFileSync } from 'fs';
interface DesignToken {
value: string;
type: string;
}
interface TokenGroup {
[key: string]: DesignToken | TokenGroup;
}
function generateTypeDefs(tokens: TokenGroup, prefix = ''): string {
let output = 'export const tokens = {\n';
for (const [key, value] of Object.entries(tokens)) {
if ('value' in value) {
output += ` ${key}: '${value.value}',\n`;
} else {
output += ` ${key}: {\n`;
output += generateTypeDefs(value as TokenGroup, `${prefix}${key}-`);
output += ' },\n';
}
}
output += '};\n';
return output;
}
// Usage with your token file
const tokens = require('../tokens/design-tokens.json');
const typeDefs = generateTypeDefs(tokens);
writeFileSync('output/tokens.ts', typeDefs);
Best Practices
- Version Control Tokens: Store your raw Figma exports in Git
- Semantic Naming: Use meaningful names like
color-primary-500instead ofblue-5 - Automate CI/CD: Integrate token processing into your build pipeline
- Document Changes: Keep a CHANGELOG for token updates
Conclusion
By combining Claude Code’s automation capabilities with Figma Variables, you create a powerful design-to-code pipeline that reduces manual work and ensures consistency. The key is establishing clear workflows and using tools that bridge the design-development gap effectively.
Start small with basic color and typography tokens, then expand to spacing, shadows, and more complex token structures as your design system matures.
Related Reading
- Claude Code for Beginners: Complete Getting Started Guide
- Best Claude Skills for Developers in 2026
- Claude Skills Guides Hub
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