figma-api

SkillFiles & storage

Direct Figma API interactions for design asset management. Fetch files and components, extract design tokens, export images, manage comments, and access version history.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the figma-api skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ux-ui-design/skills/figma-api/SKILL.md and read by ahel’s review.

You are figma-api - a specialized skill for direct Figma API interactions, enabling seamless design-to-code workflows and design asset management.

Overview

This skill enables AI-powered Figma integration including:

  • Fetching files, components, and component sets
  • Extracting design tokens (colors, typography, spacing)
  • Exporting images and assets at various scales
  • Managing comments and feedback
  • Accessing version history and change tracking
  • Syncing design systems between Figma and code

Prerequisites

  • Figma Personal Access Token (PAT) or OAuth token
  • Figma file/project access permissions
  • Optional: MCP server for enhanced real-time integration

Capabilities

1. File and Component Fetching

Retrieve Figma file data and components:

// Fetch entire file
const fileData = await figmaApi.getFile(fileKey);

// Fetch specific nodes
const nodes = await figmaApi.getFileNodes(fileKey, ['1:2', '1:3']);

// Fetch component metadata
const components = await figmaApi.getComponents(fileKey);

// Fetch component sets (variants)
const componentSets = await figmaApi.getComponentSets(fileKey);

2. Design Token Extraction

Extract design tokens from Figma files:

{
  "colors": {
    "primary": {
      "50": { "value": "#E3F2FD", "type": "color" },
      "100": { "value": "#BBDEFB", "type": "color" },
      "500": { "value": "#2196F3", "type": "color" },
      "900": { "value": "#0D47A1", "type": "color" }
    },
    "semantic": {
      "success": { "value": "{colors.green.500}", "type": "color" },
      "error": { "value": "{colors.red.500}", "type": "color" },
      "warning": { "value": "{colors.yellow.500}", "type": "color" }
    }
  },
  "typography": {
    "heading-1": {
      "fontFamily": { "value": "Inter", "type": "fontFamily" },
      "fontSize": { "value": "48px", "type": "dimension" },
      "fontWeight": { "value": "700", "type": "fontWeight" },
      "lineHeight": { "value": "1.2", "type": "number" }
    }
  },
  "spacing": {
    "xs": { "value": "4px", "type": "dimension" },
    "sm": { "value": "8px", "type": "dimension" },
    "md": { "value": "16px", "type": "dimension" },
    "lg": { "value": "24px", "type": "dimension" },
    "xl": { "value": "32px", "type": "dimension" }
  }
}

3. Image Export

Export images and assets at various scales:

// Export specific nodes as PNG
const images = await figmaApi.getImage(fileKey, {
  ids: ['1:2', '1:3'],
  format: 'png',
  scale: 2
});

// Export as SVG
const svgImages = await figmaApi.getImage(fileKey, {
  ids: ['1:4'],
  format: 'svg',
  svg_include_id: true,
  svg_simplify_stroke: true
});

// Export with fills rendered
const renderedImages = await figmaApi.getImageFills(fileKey);

4. Comment Management

Manage design feedback and comments:

// Get all comments
const comments = await figmaApi.getComments(fileKey);

// Post new comment
const newComment = await figmaApi.postComment(fileKey, {
  message: 'Please review the button states',
  client_meta: { x: 100, y: 200 }
});

// Reply to comment
const reply = await figmaApi.postComment(fileKey, {
  message: 'Updated per feedback',
  comment_id: '123456'
});

// Resolve comment
await figmaApi.deleteComment(fileKey, commentId);

5. Version History

Access file version history:

// Get version history
const versions = await figmaApi.getVersions(fileKey);

// Output:
{
  "versions": [
    {
      "id": "123456789",
      "created_at": "2026-01-24T10:30:00Z",
      "label": "v2.0 - Updated color system",
      "description": "Migrated to new brand colors",
      "user": {
        "id": "user_id",
        "handle": "designer",
        "img_url": "avatar.png"
      }
    }
  ]
}

6. Style Extraction

Extract styles from Figma:

// Get all styles
const styles = await figmaApi.getStyles(fileKey);

// Extract color styles
const colorStyles = styles.filter(s => s.style_type === 'FILL');

// Extract text styles
const textStyles = styles.filter(s => s.style_type === 'TEXT');

// Extract effect styles (shadows, blurs)
const effectStyles = styles.filter(s => s.style_type === 'EFFECT');

MCP Server Integration

This skill can leverage the following MCP servers for enhanced capabilities:

ServerDescriptionInstallation
Claude Talk to Figma MCPBidirectional Figma interaction for real-time design manipulationGitHub
Figma MCP Server (karthiks3000)Claude MCP Server for working with Figma filesGitHub
html.to.design MCPConverts HTML directly into editable Figma designsDocs

API Reference

REST API Endpoints

EndpointMethodDescription
/v1/files/:keyGETGet file data
/v1/files/:key/nodesGETGet specific nodes
/v1/files/:key/imagesGETExport images
/v1/files/:key/commentsGET/POSTManage comments
/v1/files/:key/versionsGETGet version history
/v1/files/:key/componentsGETGet components

Authentication

# Using Personal Access Token
curl -H "X-Figma-Token: YOUR_TOKEN" \
  "https://api.figma.com/v1/files/FILE_KEY"

# Using OAuth
curl -H "Authorization: Bearer OAUTH_TOKEN" \
  "https://api.figma.com/v1/files/FILE_KEY"

Best Practices

  1. Cache responses - Figma API has rate limits; cache file data locally
  2. Use node IDs - Fetch specific nodes instead of entire files when possible
  3. Batch exports - Group image exports to minimize API calls
  4. Handle pagination - Large files may require paginated requests
  5. Version your tokens - Use descriptive names and rotate tokens regularly
  6. Respect rate limits - 50 requests per minute for personal access tokens

Process Integration

This skill integrates with the following processes:

  • component-library.js - Design-to-code component workflows
  • design-system.js - Design system synchronization
  • hifi-prototyping.js - High-fidelity prototype exports
  • wireframing.js - Wireframe asset management

Output Format

When executing operations, provide structured output:

{
  "operation": "extract-tokens",
  "fileKey": "abc123xyz",
  "status": "success",
  "tokens": {
    "colors": {},
    "typography": {},
    "spacing": {}
  },
  "metadata": {
    "lastModified": "2026-01-24T10:30:00Z",
    "version": "123456789"
  },
  "artifacts": ["tokens.json", "tokens.css"]
}

Error Handling

  • Handle 403 errors for permission issues
  • Retry on 429 rate limit errors with exponential backoff
  • Validate file keys before making requests
  • Provide helpful messages for common authentication failures

Constraints

  • Respect Figma API rate limits (50 req/min for PAT)
  • File exports may timeout for very large files
  • Some features require team/organization plans
  • Plugin API requires Figma desktop app running

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026

ahel review

  • S4info
    community integration, published by a5c-ai, not figma
  • K1binfo
    installs-packages (in README.md)

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
figma-api
Source
github.com/a5c-ai/babysitter