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Figma Setup Design Tokens

Organization
southleft
figma-setup-design-tokens

Bootstrap a complete design-token system in Figma in one atomic step — create a variable collection, its modes (e.g. Light/Dark), and every variable with per-mode values together. Use when starting a token system from scratch: triggers 'set up design tokens in Figma', 'create a token collection with light and dark modes', 'scaffold variables', 'bootstrap a Figma theme'. Works on ANY Figma plan. For incremental edits to an existing system use figma-manage-variables; for syncing from a code tokens file use figma-import-tokens.

Overview

Publishersouthleft
Repositoryfigma-console-mcp-skills
Skill namefigma-setup-design-tokens
Stars
94
Forks
4
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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 southleft on GitHub. Read the source before you install it.

Installation

Install the Figma Setup Design Tokens 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/southleft/figma-console-mcp-skills/tree/main/skills/figma-setup-design-tokens
  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/southleft/figma-console-mcp-skills.git /tmp/figma-console-mcp-skills
mkdir -p .claude/skills
cp -r /tmp/figma-console-mcp-skills/skills/figma-setup-design-tokens .claude/skills/figma-setup-design-tokens
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Setup Design Tokens 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 Setup Design Tokens 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 Setup Design Tokens 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-setup-design-tokens — atomic token-system bootstrap

Create a variable collection + modes + all variables in a single use_figma call. This is the fastest way to stand up a new token system (or a new collection within one). Because it runs as one atomic script, either everything is created or nothing is (failed scripts apply no changes).

Skill boundaries

  • use_figma rules — load the official figma-use skill first; it is the full Figma Plugin API reference. Essentials these scripts rely on: plain JS with top-level await + return (no IIFE, no figma.closePlugin(); console.log is not returned), inputs inlined as const at the top of each script, colors in 0–1 range, load fonts before any text op, await figma.getNodeByIdAsync(...), and atomic errors (a failed script applies nothing — read the error, fix, retry).
  • Incremental CRUD / batch edits to an existing system → figma-manage-variables.
  • Sync from a code token file → figma-import-tokens.

Workflow

  1. Agree the v1 scope. List the collection name, the modes (first one is the default), and the full token set with per-mode values. Lock this before writing — it's much cheaper than editing afterward.
  2. Fill the constants in scripts/setup-tokens.js: COLLECTION_NAME, MODES, TOKENS (values keyed by mode name), and optional per-variable SCOPES.
  3. Run via use_figma (skillNames: "figma-setup-design-tokens"). It returns { collectionId, modes, created, errors }.
  4. Validate with get_variable_defs or the figma-export-tokens read script, then screenshot if you also created swatches.

Notes

  • Two-tier systems: create primitives (raw values) with this skill, then create semantic tokens that alias them using figma-import-tokens (which has the alias pass) or figma-manage-variables. Keep primitives single-mode and put theming on the semantic layer.
  • Set scopes: the default ALL_SCOPES clutters every property picker. Pass SCOPES for the surfaces each token belongs to (FRAME_FILL/SHAPE_FILL for backgrounds, TEXT_FILL for text, GAP for spacing, CORNER_RADIUS for radii, WIDTH_HEIGHT for sizing).
  • Keep one bootstrap per collection. Multiple collections = multiple runs.

Bundled files

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

Frequently asked questions

What does the Figma Setup Design Tokens AI skill do?

Bootstrap a complete design-token system in Figma in one atomic step — create a variable collection, its modes (e.g. Light/Dark), and every variable with per-mode values together. Use when starting a token system from scratch: triggers 'set up design tokens in Figma', 'create a token collection with light and dark modes', 'scaffold variables', 'bootstrap a Figma theme'. Works on ANY Figma plan. For incremental edits to an existing system use figma-manage-variables; for syncing from a code tokens file use figma-import-tokens.

Why use Figma Setup Design Tokens on TypingMind?

Because you install it once and use it with any model. Figma Setup Design Tokens 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 Setup Design Tokens in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/southleft/figma-console-mcp-skills/tree/main/skills/figma-setup-design-tokens. 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 Setup Design Tokens?

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 Setup Design Tokens?

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

Is the Figma Setup Design Tokens AI skill free?

Yes. It is published on GitHub by southleft 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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