Figma

CommunityPopular

Anil-matcha

figma

Look up your Figma user, read file metadata, and post comments on files. Trigger phrases: figma, figma file, design file.

Overview

Publisher	Anil-matcha
Repository	`awesome-muse-connectors`
Skill name	`figma`
Stars	1.4K
Forks	309
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/figma
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.

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/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/figma .claude/skills/figma

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Figma

Purpose

Read from the user's Figma: the authenticated user (me) and file metadata (file: name, lastModified, version, thumbnailUrl). The full file document is intentionally not returned: it is too large to be useful in chat, so file surfaces metadata only. The comment command posts a comment to a file (plain text, or anchored to a node with --node-id); positioned canvas pins (x/y without a node) are not supported because the exact client_meta schema is not clearly defined in Figma's public docs.

Tooling

All commands go through bin/figma.py:

bash
bin/figma.py me                 # authenticated user (handle, email)
bin/figma.py file --key KEY     # file metadata: name, lastModified, version, thumbnailUrl

# Comment posts need an exact --confirm string (the CLI prints the required string on refusal)
bin/figma.py comment --key KEY --message "Looks great!" \
  --confirm 'post comment on file KEY: "Looks great!"'
bin/figma.py comment --key KEY --node-id 1:42 --message "Spacing looks off here." \
  --confirm 'post comment on file KEY: "Spacing looks off here."'

Get the file key from a Figma URL: it is the segment after /file/ or /design/.

Auth

Provider id: figma (credential is collected as custom.figma)
Collection: personal access token via the secure credential flow (credentials.request_api_access): create one in Figma → Settings → Personal access tokens (needs at least the file_content:read scope for file; comment additionally needs file_comments:write)
Connect placement: custom_header:X-Figma-Token (Figma PATs use X-Figma-Token, not Authorization: Bearer)
Allowed hosts: api.figma.com
Status check: bin/figma.py me (a successful response proves the token works)

Operating Rules

comment needs an exact --confirm string echoed by the CLI on every post; the CLI prints the required string when it refuses. Reading needs no confirmation.
Only node-anchored (--node-id) or plain comments ship: raw x/y canvas pins are not supported because Figma's client_meta schema is not clearly documented.
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/figma.py). Do not print, log, or transmit the token value.

Files

SKILL.md
bin/figma.py

Maturity

🧪 Draft: written from Figma's public REST API docs (including the post-comment endpoint); not yet live-tested end-to-end.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

bin/figma.py5 KB

Frequently asked questions

What does the Figma AI skill do?

Look up your Figma user, read file metadata, and post comments on files. Trigger phrases: figma, figma file, design file.

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/Anil-matcha/awesome-muse-connectors/tree/main/connectors/figma. TypingMind reads its SKILL.md and bundles its files 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?

Yes. It is published on GitHub by Anil-matcha 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Figma

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Bundled files

Frequently asked questions

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