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Ingest Figma

Community
bluzir
ingest-figma

Pull design tokens + frame structure from a Figma URL via the Figma REST API. Requires FIGMA_TOKEN env var.

Overview

Publisherbluzir
Repositoryclaude-code-design
Skill nameingest-figma
Stars
107
Forks
11
Bundled files
Instructions only
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 bluzir on GitHub. Read the source before you install it.

Installation

Install the Ingest Figma 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/bluzir/claude-code-design/tree/main/.claude/skills/ingest-figma
  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/bluzir/claude-code-design.git /tmp/claude-code-design
mkdir -p .claude/skills
cp -r /tmp/claude-code-design/.claude/skills/ingest-figma .claude/skills/ingest-figma
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ingest Figma 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 Ingest Figma 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 Ingest Figma 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.

Ingest Figma

Extract design system from a Figma file using the REST API. Falls back to SVG-import if no token available.

Preflight

  1. Bash(test -n "$FIGMA_TOKEN" && echo has-token || echo no-token) — check env var
  2. If no-token:
    • Tell user: "No FIGMA_TOKEN found. Two options: (a) Get a token at https://www.figma.com/developers/api#access-tokens and export FIGMA_TOKEN=... in your shell, or (b) export the frame as SVG in Figma (Right-click frame → Copy as → Copy as SVG) and paste the file to artifacts/ingested/ — I'll parse the SVG."
    • Stop; wait for user response.

Parse URL

Figma URL format: https://www.figma.com/(file|design|proto)/<fileKey>/<name>?node-id=<nodeId>

Extract:

  • fileKey — alphanumeric after /file/ or /design/
  • nodeId — query param node-id (URL-decoded, often contains :)

Steps (token path)

  1. Fetch file nodes:

    Bash(curl -H "X-FIGMA-TOKEN: $FIGMA_TOKEN" \
      "https://api.figma.com/v1/files/<fileKey>/nodes?ids=<nodeId>&depth=2" \
      -o /tmp/figma-<ts>.json)
  2. Fetch style definitions:

    Bash(curl -H "X-FIGMA-TOKEN: $FIGMA_TOKEN" \
      "https://api.figma.com/v1/files/<fileKey>/styles" \
      -o /tmp/figma-styles-<ts>.json)
  3. Parse JSON:

    • Colors: walk document.children → find fills with type === 'SOLID' → extract color {r,g,b} → convert to hex
    • Effects (shadows): find effects with type === 'DROP_SHADOW'
    • Text styles: find style with fontFamily, fontSize, fontWeight, lineHeightPx
    • Components: traverse for type === 'COMPONENT' and type === 'COMPONENT_SET'
    • Local styles from /styles: styles endpoint returns named variables
  4. Write:

    artifacts/ingested/figma-<fileKey>-tokens.json

    Same schema as ingest-github, plus "source": { "figma_url": "...", "file_key": "...", "node_id": "..." }.

  5. Offer next step:

    • "Extracted X colors, Y text styles, Z components from Figma. Saved to artifacts/ingested/figma-<fileKey>-tokens.json."
    • Continue with /create-design-system or start artifact skill.

Steps (SVG fallback path)

  1. User drops SVG file in artifacts/ingested/
  2. Read the SVG content
  3. Extract fill="#..." / stroke="#..." / style="...color..." attributes
  4. Recognize <text> elements for font info (font-family, font-size, font-weight)
  5. Build partial tokens.json with "source": { "svg": "<path>" } + confidence flags
  6. Note: SVG export loses component structure, only visual primitives

Rate limits

Figma API: 50 req/min for free tier. Fetching one frame + styles = 2 requests, well under limit.

Security

FIGMA_TOKEN in env only — never written to disk or logged.

Frequently asked questions

What does the Ingest Figma AI skill do?

Pull design tokens + frame structure from a Figma URL via the Figma REST API. Requires FIGMA_TOKEN env var.

Why use Ingest Figma on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bluzir/claude-code-design/tree/main/.claude/skills/ingest-figma. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ingest 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 Ingest Figma?

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

Is the Ingest Figma AI skill free?

It is published on GitHub by bluzir. Check the repository for licensing terms. 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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