What does the Figma AI skill do?

Integrate with Figma API for design automation and code generation. Use when extracting design tokens, generating React/CSS code from Figma components, syncing design systems, building Figma plugins, or automating design-to-code workflows. Triggers on Figma API, design tokens, Figma plugin, design-to-code, Figma export, Figma component, Dev Mode.

Why use Figma on TypingMind?

Because you install it once and use it with any model. Figma is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Figma in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoodini/ai-agents-skills/tree/master/skills/figma. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Figma?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Figma?

As many as you like. As long as a model supports skills, you can use Figma with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Figma AI skill free?

It is published on GitHub by hoodini. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Figma by hoodini — AI Skill for Any LLM

Figma API Integration

Extract design data, generate code from components, and automate design workflows with Figma's API.

Quick Start

Authentication

typescript
const FIGMA_TOKEN = process.env.FIGMA_TOKEN;

const headers = {
  'X-Figma-Token': FIGMA_TOKEN
};

// Get file
const response = await fetch(
  `https://api.figma.com/v1/files/${FILE_KEY}`,
  { headers }
);

File Key & Node IDs

typescript
// Extract from Figma URL: figma.com/file/FILE_KEY/Name?node-id=NODE_ID
const figmaUrl = 'https://www.figma.com/file/abc123/MyDesign?node-id=1%3A2';
const fileKey = figmaUrl.match(/file\/([^/]+)/)?.[1];  // abc123
const nodeId = new URL(figmaUrl).searchParams.get('node-id');  // 1:2

Core API Endpoints

Get File

typescript
// Full file
GET https://api.figma.com/v1/files/:file_key

// Specific nodes (components)
GET https://api.figma.com/v1/files/:file_key/nodes?ids=1:2,1:3

// With geometry for SVG paths
GET https://api.figma.com/v1/files/:file_key?geometry=paths

// With plugin data
GET https://api.figma.com/v1/files/:file_key?plugin_data=shared

Get Components

typescript
// Get all components in a file
GET https://api.figma.com/v1/files/:file_key/components

// Get component sets (variants)
GET https://api.figma.com/v1/files/:file_key/component_sets

// Get team's published components
GET https://api.figma.com/v1/teams/:team_id/components

Export Images

typescript
// Export nodes as images
GET https://api.figma.com/v1/images/:file_key?ids=1:2,1:3&format=png&scale=2

// Export as SVG
GET https://api.figma.com/v1/images/:file_key?ids=1:2&format=svg

// Response
{
  "images": {
    "1:2": "https://s3.amazonaws.com/...",
    "1:3": "https://s3.amazonaws.com/..."
  }
}

Component Code Generation

Figma Node to React Component

typescript
interface FigmaNode {
  id: string;
  name: string;
  type: string;
  children?: FigmaNode[];
  absoluteBoundingBox?: { x: number; y: number; width: number; height: number };
  fills?: Fill[];
  strokes?: Stroke[];
  effects?: Effect[];
  cornerRadius?: number;
  paddingLeft?: number;
  paddingRight?: number;
  paddingTop?: number;
  paddingBottom?: number;
  itemSpacing?: number;
  layoutMode?: 'HORIZONTAL' | 'VERTICAL' | 'NONE';
  primaryAxisAlignItems?: string;
  counterAxisAlignItems?: string;
  characters?: string;
  style?: TextStyle;
}

async function getComponentCode(fileKey: string, nodeId: string): Promise<string> {
  const response = await fetch(
    `https://api.figma.com/v1/files/${fileKey}/nodes?ids=${nodeId}`,
    { headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! } }
  );
  const data = await response.json();
  const node = data.nodes[nodeId].document;
  
  return generateReactComponent(node);
}

function generateReactComponent(node: FigmaNode): string {
  const componentName = toPascalCase(node.name);
  const styles = extractStyles(node);
  const children = node.children?.map(child => generateJSX(child)).join('\n') || '';
  
  return `
import React from 'react';

export function ${componentName}() {
  return (
    <div style={${JSON.stringify(styles, null, 2)}}>
      ${children}
    </div>
  );
}
`;
}

function extractStyles(node: FigmaNode): React.CSSProperties {
  const styles: React.CSSProperties = {};
  
  // Dimensions
  if (node.absoluteBoundingBox) {
    styles.width = node.absoluteBoundingBox.width;
    styles.height = node.absoluteBoundingBox.height;
  }
  
  // Background
  if (node.fills?.length) {
    const fill = node.fills.find(f => f.visible !== false && f.type === 'SOLID');
    if (fill?.color) {
      styles.backgroundColor = rgbaToHex(fill.color);
    }
  }
  
  // Border radius
  if (node.cornerRadius) {
    styles.borderRadius = node.cornerRadius;
  }
  
  // Padding
  if (node.paddingLeft) styles.paddingLeft = node.paddingLeft;
  if (node.paddingRight) styles.paddingRight = node.paddingRight;
  if (node.paddingTop) styles.paddingTop = node.paddingTop;
  if (node.paddingBottom) styles.paddingBottom = node.paddingBottom;
  
  // Flexbox (Auto Layout)
  if (node.layoutMode && node.layoutMode !== 'NONE') {
    styles.display = 'flex';
    styles.flexDirection = node.layoutMode === 'HORIZONTAL' ? 'row' : 'column';
    styles.gap = node.itemSpacing;
    
    // Alignment
    const alignMap: Record<string, string> = {
      'MIN': 'flex-start',
      'CENTER': 'center',
      'MAX': 'flex-end',
      'SPACE_BETWEEN': 'space-between',
    };
    if (node.primaryAxisAlignItems) {
      styles.justifyContent = alignMap[node.primaryAxisAlignItems] || 'flex-start';
    }
    if (node.counterAxisAlignItems) {
      styles.alignItems = alignMap[node.counterAxisAlignItems] || 'flex-start';
    }
  }
  
  return styles;
}

function generateJSX(node: FigmaNode): string {
  const styles = extractStyles(node);
  
  if (node.type === 'TEXT') {
    return `<span style={${JSON.stringify(styles)}}>${node.characters || ''}</span>`;
  }
  
  if (node.type === 'VECTOR' || node.type === 'BOOLEAN_OPERATION') {
    return `{/* Vector: ${node.name} - export as SVG */}`;
  }
  
  const children = node.children?.map(child => generateJSX(child)).join('\n') || '';
  return `<div style={${JSON.stringify(styles)}}>${children}</div>`;
}

Generate Tailwind CSS from Figma

typescript
function figmaToTailwind(node: FigmaNode): string {
  const classes: string[] = [];
  
  // Dimensions
  if (node.absoluteBoundingBox) {
    const { width, height } = node.absoluteBoundingBox;
    classes.push(`w-[${Math.round(width)}px]`, `h-[${Math.round(height)}px]`);
  }
  
  // Background color
  if (node.fills?.length) {
    const fill = node.fills.find(f => f.visible !== false && f.type === 'SOLID');
    if (fill?.color) {
      const hex = rgbaToHex(fill.color);
      classes.push(`bg-[${hex}]`);
    }
  }
  
  // Border radius
  if (node.cornerRadius) {
    const radiusMap: Record<number, string> = {
      4: 'rounded-sm', 6: 'rounded-md', 8: 'rounded-lg',
      12: 'rounded-xl', 16: 'rounded-2xl', 9999: 'rounded-full'
    };
    classes.push(radiusMap[node.cornerRadius] || `rounded-[${node.cornerRadius}px]`);
  }
  
  // Padding
  if (node.paddingLeft === node.paddingRight && 
      node.paddingTop === node.paddingBottom &&
      node.paddingLeft === node.paddingTop) {
    classes.push(`p-[${node.paddingLeft}px]`);
  } else {
    if (node.paddingLeft) classes.push(`pl-[${node.paddingLeft}px]`);
    if (node.paddingRight) classes.push(`pr-[${node.paddingRight}px]`);
    if (node.paddingTop) classes.push(`pt-[${node.paddingTop}px]`);
    if (node.paddingBottom) classes.push(`pb-[${node.paddingBottom}px]`);
  }
  
  // Flexbox
  if (node.layoutMode && node.layoutMode !== 'NONE') {
    classes.push('flex');
    classes.push(node.layoutMode === 'HORIZONTAL' ? 'flex-row' : 'flex-col');
    if (node.itemSpacing) classes.push(`gap-[${node.itemSpacing}px]`);
    
    const justifyMap: Record<string, string> = {
      'MIN': 'justify-start', 'CENTER': 'justify-center',
      'MAX': 'justify-end', 'SPACE_BETWEEN': 'justify-between'
    };
    const alignMap: Record<string, string> = {
      'MIN': 'items-start', 'CENTER': 'items-center', 'MAX': 'items-end'
    };
    if (node.primaryAxisAlignItems) classes.push(justifyMap[node.primaryAxisAlignItems]);
    if (node.counterAxisAlignItems) classes.push(alignMap[node.counterAxisAlignItems]);
  }
  
  return classes.join(' ');
}

Extract All Components from File

typescript
interface ComponentInfo {
  key: string;
  name: string;
  description: string;
  nodeId: string;
  thumbnailUrl?: string;
}

async function getAllComponents(fileKey: string): Promise<ComponentInfo[]> {
  const response = await fetch(
    `https://api.figma.com/v1/files/${fileKey}/components`,
    { headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! } }
  );
  const data = await response.json();
  
  return data.meta.components.map((comp: any) => ({
    key: comp.key,
    name: comp.name,
    description: comp.description || '',
    nodeId: comp.node_id,
    thumbnailUrl: comp.thumbnail_url,
  }));
}

// Generate code for all components
async function generateAllComponentsCode(fileKey: string): Promise<Map<string, string>> {
  const components = await getAllComponents(fileKey);
  const codeMap = new Map<string, string>();
  
  for (const comp of components) {
    const code = await getComponentCode(fileKey, comp.nodeId);
    codeMap.set(comp.name, code);
  }
  
  return codeMap;
}

Design Token Extraction

Extract Colors

typescript
async function extractColors(fileKey: string) {
  const file = await fetch(
    `https://api.figma.com/v1/files/${fileKey}/styles`,
    { headers }
  ).then(r => r.json());
  
  const colors = {};
  
  for (const style of file.meta.styles) {
    if (style.style_type === 'FILL') {
      const nodeData = await getStyleNode(fileKey, style.node_id);
      const fill = nodeData.fills[0];
      
      if (fill.type === 'SOLID') {
        colors[style.name] = rgbaToHex(fill.color);
      }
    }
  }
  
  return colors;
}

function rgbaToHex({ r, g, b, a = 1 }) {
  const toHex = (n) => Math.round(n * 255).toString(16).padStart(2, '0');
  return `#${toHex(r)}${toHex(g)}${toHex(b)}${a < 1 ? toHex(a) : ''}`;
}

Extract Typography Tokens

typescript
async function extractTypography(fileKey: string) {
  const response = await fetch(
    `https://api.figma.com/v1/files/${fileKey}/styles`,
    { headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! } }
  );
  const data = await response.json();
  
  const typography: Record<string, any> = {};
  
  for (const style of data.meta.styles) {
    if (style.style_type === 'TEXT') {
      const nodeResponse = await fetch(
        `https://api.figma.com/v1/files/${fileKey}/nodes?ids=${style.node_id}`,
        { headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! } }
      );
      const nodeData = await nodeResponse.json();
      const node = nodeData.nodes[style.node_id].document;
      
      typography[style.name] = {
        fontFamily: node.style?.fontFamily,
        fontWeight: node.style?.fontWeight,
        fontSize: node.style?.fontSize,
        lineHeight: node.style?.lineHeightPx,
        letterSpacing: node.style?.letterSpacing,
      };
    }
  }
  
  return typography;
}

Generate Complete Design Tokens

typescript
interface DesignTokens {
  colors: Record<string, string>;
  typography: Record<string, any>;
  spacing: Record<string, number>;
  shadows: Record<string, string>;
  radii: Record<string, number>;
}

async function generateDesignTokens(fileKey: string): Promise<DesignTokens> {
  const [colors, typography] = await Promise.all([
    extractColors(fileKey),
    extractTypography(fileKey),
  ]);
  
  return {
    colors,
    typography,
    spacing: { xs: 4, sm: 8, md: 16, lg: 24, xl: 32 },  // Extract from file
    shadows: {},  // Extract from effect styles
    radii: {},    // Extract from nodes
  };
}

// Generate CSS Variables
function tokensToCSSVariables(tokens: DesignTokens): string {
  let css = ':root {\n';
  
  // Colors
  for (const [name, value] of Object.entries(tokens.colors)) {
    const cssName = name.toLowerCase().replace(/[\s/]+/g, '-');
    css += `  --color-${cssName}: ${value};\n`;
  }
  
  // Typography
  for (const [name, style] of Object.entries(tokens.typography)) {
    const cssName = name.toLowerCase().replace(/[\s/]+/g, '-');
    css += `  --font-${cssName}-family: "${style.fontFamily}";\n`;
    css += `  --font-${cssName}-size: ${style.fontSize}px;\n`;
    css += `  --font-${cssName}-weight: ${style.fontWeight};\n`;
    css += `  --font-${cssName}-line-height: ${style.lineHeight}px;\n`;
  }
  
  css += '}\n';
  return css;
}

// Generate Tailwind Config
function tokensToTailwindConfig(tokens: DesignTokens): string {
  const colors: Record<string, string> = {};
  for (const [name, value] of Object.entries(tokens.colors)) {
    const key = name.toLowerCase().replace(/[\s/]+/g, '-');
    colors[key] = value;
  }
  
  return `
module.exports = {
  theme: {
    extend: {
      colors: ${JSON.stringify(colors, null, 6)},
      fontFamily: {
        ${Object.entries(tokens.typography).map(([name, style]) => 
          `'${name.toLowerCase()}': ['${style.fontFamily}', 'sans-serif']`
        ).join(',\n        ')}
      },
    },
  },
};
`;
}

Variables API (Design Tokens 2.0)

typescript
// Get variables (requires enterprise/organization plan)
GET https://api.figma.com/v1/files/:file_key/variables/local

// Get variable collections
GET https://api.figma.com/v1/files/:file_key/variables/local/collections

// Response structure
interface VariableCollection {
  id: string;
  name: string;
  modes: { modeId: string; name: string }[];
  variableIds: string[];
}

interface Variable {
  id: string;
  name: string;
  resolvedType: 'BOOLEAN' | 'FLOAT' | 'STRING' | 'COLOR';
  valuesByMode: Record<string, any>;
}

async function getVariables(fileKey: string) {
  const response = await fetch(
    `https://api.figma.com/v1/files/${fileKey}/variables/local`,
    { headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! } }
  );
  return response.json();
}

Dev Mode Integration

Code Snippets from Dev Mode

typescript
// Get Dev Resources (annotations, measurements)
GET https://api.figma.com/v1/files/:file_key/dev_resources

// Create Dev Resource
POST https://api.figma.com/v1/dev_resources
{
  "dev_resource": {
    "name": "React Component",
    "url": "https://github.com/...",
    "file_key": "abc123",
    "node_id": "1:2"
  }
}

Webhooks

Setup Webhook

typescript
POST https://api.figma.com/v2/webhooks

{
  "event_type": "FILE_UPDATE",
  "team_id": "123456",
  "endpoint": "https://your-server.com/figma-webhook",
  "passcode": "your-secret-passcode"
}

// Available events:
// - FILE_UPDATE
// - FILE_DELETE  
// - FILE_VERSION_UPDATE
// - LIBRARY_PUBLISH
// - FILE_COMMENT

Handle Webhook

typescript
app.post('/figma-webhook', async (req, res) => {
  const { passcode } = req.body;
  
  if (passcode !== process.env.FIGMA_WEBHOOK_SECRET) {
    return res.status(401).send('Unauthorized');
  }
  
  const { event_type, file_key, timestamp } = req.body;
  
  switch (event_type) {
    case 'FILE_UPDATE':
      await syncDesignTokens(file_key);
      break;
    case 'LIBRARY_PUBLISH':
      await regenerateComponents(file_key);
      break;
    case 'FILE_COMMENT':
      await notifyTeam(req.body);
      break;
  }
  
  res.status(200).send('OK');
});

Complete Design-to-Code Pipeline

typescript
// Full pipeline: Figma file → React components + tokens
async function figmaToCode(fileKey: string, outputDir: string) {
  // 1. Get all components
  const components = await getAllComponents(fileKey);
  
  // 2. Generate design tokens
  const tokens = await generateDesignTokens(fileKey);
  await fs.writeFile(
    `${outputDir}/tokens.css`,
    tokensToCSSVariables(tokens)
  );
  await fs.writeFile(
    `${outputDir}/tailwind.config.js`,
    tokensToTailwindConfig(tokens)
  );
  
  // 3. Generate React components
  for (const comp of components) {
    const code = await getComponentCode(fileKey, comp.nodeId);
    const fileName = toPascalCase(comp.name) + '.tsx';
    await fs.writeFile(`${outputDir}/components/${fileName}`, code);
  }
  
  // 4. Export icons as SVGs
  const icons = components.filter(c => c.name.startsWith('Icon/'));
  if (icons.length) {
    const iconIds = icons.map(i => i.nodeId).join(',');
    const svgResponse = await fetch(
      `https://api.figma.com/v1/images/${fileKey}?ids=${iconIds}&format=svg`,
      { headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! } }
    );
    const svgData = await svgResponse.json();
    
    for (const icon of icons) {
      const svgUrl = svgData.images[icon.nodeId];
      const svg = await fetch(svgUrl).then(r => r.text());
      await fs.writeFile(`${outputDir}/icons/${icon.name}.svg`, svg);
    }
  }
  
  console.log(`Generated ${components.length} components and ${Object.keys(tokens.colors).length} color tokens`);
}

Figma Plugin Development

Plugin Manifest (manifest.json)

json
{
  "name": "My Figma Plugin",
  "id": "123456789",
  "api": "1.0.0",
  "main": "code.js",
  "ui": "ui.html",
  "editorType": ["figma", "figjam"],
  "capabilities": ["codegen"],
  "codegenLanguages": [
    { "label": "React", "value": "react" },
    { "label": "Vue", "value": "vue" }
  ]
}

Plugin Code (code.ts)

typescript
// Show UI
figma.showUI(__html__, { width: 400, height: 500 });

// Handle selection
figma.on('selectionchange', () => {
  const selection = figma.currentPage.selection;
  figma.ui.postMessage({ type: 'selection', nodes: selection.map(nodeToJSON) });
});

// Handle messages from UI
figma.ui.onmessage = async (msg) => {
  if (msg.type === 'export-code') {
    const node = figma.currentPage.selection[0];
    const code = generateCode(node);
    figma.ui.postMessage({ type: 'code-generated', code });
  }
};

function nodeToJSON(node: SceneNode) {
  return {
    id: node.id,
    name: node.name,
    type: node.type,
    width: node.width,
    height: node.height,
  };
}

Resources

Figma API Docs: https://www.figma.com/developers/api
Figma REST API Reference: https://www.figma.com/developers/api#intro
Plugin API Docs: https://www.figma.com/plugin-docs/
Variables API: https://www.figma.com/developers/api#variables
Dev Mode: https://www.figma.com/dev-mode/
Figma Community Plugins: https://www.figma.com/community/plugins

Publisher	hoodini
Repository	`ai-agents-skills`
Skill name	`figma`
Stars	280
Forks	62
Bundled files	Instructions only
Links	Skill source Repository

Figma

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Figma API Integration

Quick Start

Authentication

File Key & Node IDs

Core API Endpoints

Get File

Get Components

Export Images

Component Code Generation

Figma Node to React Component

Generate Tailwind CSS from Figma

Extract All Components from File

Design Token Extraction

Extract Colors

Extract Typography Tokens

Generate Complete Design Tokens

Variables API (Design Tokens 2.0)

Dev Mode Integration

Code Snippets from Dev Mode

Webhooks

Setup Webhook

Handle Webhook

Complete Design-to-Code Pipeline

Figma Plugin Development

Plugin Manifest (manifest.json)

Plugin Code (code.ts)

Resources

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Figma API Integration

Quick Start

Authentication

File Key & Node IDs

Core API Endpoints

Get File

Get Components

Export Images

Component Code Generation

Figma Node to React Component

Generate Tailwind CSS from Figma

Extract All Components from File

Design Token Extraction

Extract Colors

Extract Typography Tokens

Generate Complete Design Tokens

Variables API (Design Tokens 2.0)

Dev Mode Integration

Code Snippets from Dev Mode

Webhooks

Setup Webhook

Handle Webhook

Complete Design-to-Code Pipeline

Figma Plugin Development

Plugin Manifest (manifest.json)

Plugin Code (code.ts)

Resources

Frequently asked questions

Related AI Skills

Set up your own AI workspace now