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Figma Automation

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davepoon
figma-automation

Automate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.

Overview

Publisherdavepoon
Repositorybuildwithclaude
Skill namefigma-automation
Stars
3.6K
Forks
586
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by davepoon on GitHub. Read the source before you install it.

Installation

Install the Figma Automation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/figma-automation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/davepoon/buildwithclaude.git /tmp/buildwithclaude
mkdir -p .claude/skills
cp -r /tmp/buildwithclaude/plugins/all-skills/skills/figma-automation .claude/skills/figma-automation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Automation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Figma Automation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Figma Automation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Figma Automation via Rube MCP

Automate Figma operations through Composio's Figma toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/figma

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Figma connection via RUBE_MANAGE_CONNECTIONS with toolkit figma
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit figma
  3. If connection is not ACTIVE, follow the returned auth link to complete Figma auth
  4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Get File Data and Components

When to use: User wants to inspect Figma design files or extract component information

Tool sequence:

  1. FIGMA_DISCOVER_FIGMA_RESOURCES - Extract IDs from Figma URLs [Prerequisite]
  2. FIGMA_GET_FILE_JSON - Get file data (simplified by default) [Required]
  3. FIGMA_GET_FILE_NODES - Get specific node data [Optional]
  4. FIGMA_GET_FILE_COMPONENTS - List published components [Optional]
  5. FIGMA_GET_FILE_COMPONENT_SETS - List component sets [Optional]

Key parameters:

  • file_key: File key from URL (e.g., 'abc123XYZ' from figma.com/design/abc123XYZ/...)
  • ids: Comma-separated node IDs (NOT an array)
  • depth: Tree traversal depth (2 for pages and top-level children)
  • simplify: True for AI-friendly format (70%+ size reduction)

Pitfalls:

  • Only supports Design files; FigJam boards and Slides return 400 errors
  • ids must be a comma-separated string, not an array
  • Node IDs may be dash-formatted (1-541) in URLs but need colon format (1:541) for API
  • Broad ids/depth can trigger oversized payloads (413); narrow scope or reduce depth
  • Response data may be in data_preview instead of data

2. Export and Render Images

When to use: User wants to export design assets as images

Tool sequence:

  1. FIGMA_GET_FILE_JSON - Find node IDs to export [Prerequisite]
  2. FIGMA_RENDER_IMAGES_OF_FILE_NODES - Render nodes as images [Required]
  3. FIGMA_DOWNLOAD_FIGMA_IMAGES - Download rendered images [Optional]
  4. FIGMA_GET_IMAGE_FILLS - Get image fill URLs [Optional]

Key parameters:

  • file_key: File key
  • ids: Comma-separated node IDs to render
  • format: 'png', 'svg', 'jpg', or 'pdf'
  • scale: Scale factor (0.01-4.0) for PNG/JPG
  • images: Array of {node_id, file_name, format} for downloads

Pitfalls:

  • Images return as node_id-to-URL map; some IDs may be null (failed renders)
  • URLs are temporary (valid ~30 days)
  • Images capped at 32 megapixels; larger requests auto-scaled down

3. Extract Design Tokens

When to use: User wants to extract design tokens for development

Tool sequence:

  1. FIGMA_EXTRACT_DESIGN_TOKENS - Extract colors, typography, spacing [Required]
  2. FIGMA_DESIGN_TOKENS_TO_TAILWIND - Convert to Tailwind config [Optional]

Key parameters:

  • file_key: File key
  • include_local_styles: Include local styles (default true)
  • include_variables: Include Figma variables
  • tokens: Full tokens object from extraction (for Tailwind conversion)

Pitfalls:

  • Tailwind conversion requires the full tokens object including total_tokens and sources
  • Do not strip fields from the extraction response before passing to conversion

4. Manage Comments and Versions

When to use: User wants to view or add comments, or inspect version history

Tool sequence:

  1. FIGMA_GET_COMMENTS_IN_A_FILE - List all file comments [Optional]
  2. FIGMA_ADD_A_COMMENT_TO_A_FILE - Add a comment [Optional]
  3. FIGMA_GET_REACTIONS_FOR_A_COMMENT - Get comment reactions [Optional]
  4. FIGMA_GET_VERSIONS_OF_A_FILE - Get version history [Optional]

Key parameters:

  • file_key: File key
  • as_md: Return comments in Markdown format
  • message: Comment text
  • comment_id: Comment ID for reactions

Pitfalls:

  • Comments can be positioned on specific nodes using client_meta
  • Reply comments cannot be nested (only one level of replies)

5. Browse Projects and Teams

When to use: User wants to list team projects or files

Tool sequence:

  1. FIGMA_GET_PROJECTS_IN_A_TEAM - List team projects [Optional]
  2. FIGMA_GET_FILES_IN_A_PROJECT - List project files [Optional]
  3. FIGMA_GET_TEAM_STYLES - List team published styles [Optional]

Key parameters:

  • team_id: Team ID from URL (figma.com/files/team/TEAM_ID/...)
  • project_id: Project ID

Pitfalls:

  • Team ID cannot be obtained programmatically; extract from Figma URL
  • Only published styles/components are returned by team endpoints

Common Patterns

URL Parsing

Extract IDs from Figma URLs:

1. Call FIGMA_DISCOVER_FIGMA_RESOURCES with figma_url
2. Extract file_key, node_id, team_id from response
3. Convert dash-format node IDs (1-541) to colon format (1:541)

Node Traversal

1. Call FIGMA_GET_FILE_JSON with depth=2 for overview
2. Identify target nodes from the response
3. Call again with specific ids and higher depth for details

Known Pitfalls

File Type Support:

  • GET_FILE_JSON only supports Design files (figma.com/design/ or figma.com/file/)
  • FigJam boards (figma.com/board/) and Slides (figma.com/slides/) are NOT supported

Node ID Formats:

  • URLs use dash format: node-id=1-541
  • API uses colon format: 1:541

Quick Reference

TaskTool SlugKey Params
Parse URLFIGMA_DISCOVER_FIGMA_RESOURCESfigma_url
Get file JSONFIGMA_GET_FILE_JSONfile_key, ids, depth
Get nodesFIGMA_GET_FILE_NODESfile_key, ids
Render imagesFIGMA_RENDER_IMAGES_OF_FILE_NODESfile_key, ids, format
Download imagesFIGMA_DOWNLOAD_FIGMA_IMAGESfile_key, images
Get componentFIGMA_GET_COMPONENTfile_key, node_id
File componentsFIGMA_GET_FILE_COMPONENTSfile_key
Component setsFIGMA_GET_FILE_COMPONENT_SETSfile_key
Design tokensFIGMA_EXTRACT_DESIGN_TOKENSfile_key
Tokens to TailwindFIGMA_DESIGN_TOKENS_TO_TAILWINDtokens
File commentsFIGMA_GET_COMMENTS_IN_A_FILEfile_key
Add commentFIGMA_ADD_A_COMMENT_TO_A_FILEfile_key, message
File versionsFIGMA_GET_VERSIONS_OF_A_FILEfile_key
Team projectsFIGMA_GET_PROJECTS_IN_A_TEAMteam_id
Project filesFIGMA_GET_FILES_IN_A_PROJECTproject_id
Team stylesFIGMA_GET_TEAM_STYLESteam_id
File stylesFIGMA_GET_FILE_STYLESfile_key
Image fillsFIGMA_GET_IMAGE_FILLSfile_key

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Frequently asked questions

What does the Figma Automation AI skill do?

Automate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.

Why use Figma Automation on TypingMind?

Because you install it once and use it with any model. Figma Automation 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 Automation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/figma-automation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Figma Automation?

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 Automation?

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

Is the Figma Automation AI skill free?

Yes. It is published on GitHub by davepoon under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

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.

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