Figma Annotations logo

Figma Annotations

Organization
southleft
figma-annotations

Read and write designer annotations on Figma nodes — node-level design specs that pin properties (fills, width, fontSize, etc.) and carry plain or markdown notes. Use when the user wants to document or inspect interaction specs, animation timings, easing, accessibility requirements, or implementation notes attached directly to a node. Triggers: 'add an annotation', 'annotate this node/component', 'read the annotations on…', 'what specs are pinned to this element', 'list annotation categories', 'document the focus behavior on this button in Figma'. Annotations are distinct from comments (they pin to design properties) and from the description field. Requires the Figma Desktop app (Plugin API).

Overview

Publishersouthleft
Repositoryfigma-console-mcp-skills
Skill namefigma-annotations
Stars
94
Forks
4
Bundled files
3
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.

  • 3 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 Annotations 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-annotations
  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-annotations .claude/skills/figma-annotations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Annotations 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 Annotations 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 Annotations 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-annotations — read & write node annotations

Annotations are designer-authored specs attached to a node. Each can carry a note (plain label or rich labelMarkdown), a set of pinned properties (fills, width, fontSize, …) that link the note to specific design attributes, and an optional category (interactions, accessibility, dev notes, …). They live on the node, survive edits, and are undoable (Cmd+Z). They are the right place for animation timings, easing curves, interaction behavior, and a11y requirements that don't belong in the component description.

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).
  • Valid property types + shapes → references/annotation-properties.md.
  • Comments (file-level discussion threads, not node specs) → use the figma-comments skill instead.

Workflow

  1. Get the node ID. Use the current selection or a node ID the user gives you. Annotations only apply to nodes whose type supports them (frames, components, instances, shapes, text — not pages).
  2. List categories first when writing categorized annotations. Run the categories snippet so you can pass a real categoryId (category names are per-file and not guessable). See the script.
  3. Read with scripts/get-annotations.js — set INCLUDE_CHILDREN to walk a component tree for full-component documentation.
  4. Write with scripts/set-annotations.js. Choose MODE: 'replace' (default — overwrites all annotations on the node) or 'append' (keeps existing). Pass ANNOTATIONS = [] with 'replace' to clear all annotations.
  5. Validate. Re-run the read script and confirm the annotation count and labels match what you set.

Notes

  • Note any text op needs a font load. Annotations themselves don't render text you author, but if a workflow also writes text nodes, await figma.loadFontAsync(...) first (see conventions).
  • Figma auto-populates BOTH label and labelMarkdown on read, but rejects writing both — when appending, prefer labelMarkdown if present, else label. The append script already does this.
  • properties only pins which attributes the note is about; it does not set their values. Use the exact strings from references/annotation-properties.md.
  • These tools require the Figma Desktop app (the Plugin API isn't available in the browser).

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 Annotations AI skill do?

Read and write designer annotations on Figma nodes — node-level design specs that pin properties (fills, width, fontSize, etc.) and carry plain or markdown notes. Use when the user wants to document or inspect interaction specs, animation timings, easing, accessibility requirements, or implementation notes attached directly to a node. Triggers: 'add an annotation', 'annotate this node/component', 'read the annotations on…', 'what specs are pinned to this element', 'list annotation categories', 'document the focus behavior on this button in Figma'. Annotations are distinct from comments (the...

Why use Figma Annotations on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/southleft/figma-console-mcp-skills/tree/main/skills/figma-annotations. 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 Annotations?

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 Annotations?

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

Is the Figma Annotations 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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