Figma Blame Node logo

Figma Blame Node

Organization
southleft
figma-blame-node

Find which Figma version introduced a specific change — a component property or a child node — via a binary search over version history (~log2(N) API calls instead of N). Answers 'who added this and when'. Use when the user wants git-blame-style attribution for a Figma design — triggers: 'when was this component property added', 'which version introduced this variant', 'who added this node', 'blame this Figma element', 'find when this was created', 'git blame for Figma', 'when did this property first appear'. Uses the Figma REST API + a personal access token because version history is NOT reachable via the Plugin API / use_figma / the native Figma MCP. For a full diff between two versions use figma-version-history; for prose release notes use figma-generate-changelog.

Overview

Publishersouthleft
Repositoryfigma-console-mcp-skills
Skill namefigma-blame-node
Stars
94
Forks
4
Bundled files
1
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.

  • 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 Blame Node 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-blame-node
  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-blame-node .claude/skills/figma-blame-node
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Blame Node 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 Blame Node 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 Blame Node 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-blame-node — binary-search which version introduced a change

Like git blame, but for Figma. Given a node and a target (a componentPropertyDefinitions key or a descendant child node id), this localizes the version that first introduced the target and returns that version's label, author handle, and timestamp.

Setup — terminal + token required. This skill runs shell commands, so it works in Claude Code (including the "Code" tab inside Claude Desktop), Cursor, Codex, or Gemini CLI — it does not run in plain Claude Desktop or claude.ai chat (no shell). The Figma connector's OAuth login does not authorize these REST calls, so you must supply your own Figma personal access token: in Figma go to Settings → Security → Personal access tokens, generate one with scope File content: read (plus File versions: read), then set it in your shell: export FIGMA_TOKEN="figd_…". The script reads it from the environment at runtime — never put the token in a skill file.

Why binary search

A naive walk would fetch the node at every version — N API calls for N versions. Existence of a target is monotonic (added once, then present in every newer version up to HEAD), so we binary search: probe the midpoint, check whether the target exists there, then narrow to the older or newer half. That's ~log2(N) calls — e.g. ~8 probes across 200 versions instead of 200. This is the rate-limit-friendly approach: Figma REST is throttled per token, and old snapshots are immutable, so fewer probes is strictly better.

Setup & skill boundaries

  • All requests use X-Figma-Token: $FIGMA_TOKEN against https://api.figma.com.

Derive the file key

bash
FILE_KEY=$(echo "$FILE_URL" | sed -E 's#.*/(design|file)/([A-Za-z0-9]+).*#\2#')

Workflow

  1. Identify the node and the target. node_id is typically a COMPONENT_SET. The target is exactly one of:

    • --property '<key>' — a componentPropertyDefinitions key like Disabled#1:2, or
    • --child '<node_id>' — a descendant node id that should appear under node_id.

    List versions first if you want to bound the search or sanity-check IDs:

    bash
    ../figma-version-history/scripts/list-versions.sh ABC123def456 --autosaves
  2. Run the blame search with scripts/blame-node.mjs:

    bash
    # When was a component property first added?
    node scripts/blame-node.mjs --file ABC123def456 --node 695:313 --property 'Disabled#1:2'
    
    # When was a child node first added under a component set?
    node scripts/blame-node.mjs --file ABC123def456 --node 695:313 --child 695:340
    
    # Bound the lookback and start from a specific version instead of HEAD
    node scripts/blame-node.mjs --file ABC123def456 --node 695:313 --property 'Size#9:0' \
      --start 4096800000 --max 100 --no-autosaves

    It prints JSON: the introducing version (version_id, label, user_handle, created_at), an attribution_certainty, and a probes_made count so you can see how few calls it took.

Reading the result

attribution_certainty tells you how much to trust the answer:

  • exact — a real, attributable version introduced the target.
  • system_attributed — the introducing version was a system autosave (user = "Figma"). Re-run with --no-autosaves to snap to the nearest labeled version that contains the change.
  • exists_at_lookback_horizon — the target also exists at the oldest version we scanned, so the true introduction is older than the search range. Increase --max.
  • metadata_unavailable — introduced at --start itself but author metadata wasn't found within the versions-list lookback. The introduction is real; the user just isn't attributable from REST.

Notes & caveats

  • Monotonicity assumption: binary search assumes the target was added once and never removed. If it was added, removed, then re-added, the reported introduction point may be the later re-add.
  • --start must contain the target. You're asking "when was this introduced", so the search requires the target to exist at the starting version (default HEAD/current). To track something that was removed, pick a --start where it still existed.
  • Autosaves are included by default for finer attribution (most autosaves carry the real human user). Use --no-autosaves for human-labeled attribution only.
  • A 404 mid-search usually means a probed version_id was pruned by retention — re-run; the search tolerates and skips missing nodes.

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 Blame Node AI skill do?

Find which Figma version introduced a specific change — a component property or a child node — via a binary search over version history (~log2(N) API calls instead of N). Answers 'who added this and when'. Use when the user wants git-blame-style attribution for a Figma design — triggers: 'when was this component property added', 'which version introduced this variant', 'who added this node', 'blame this Figma element', 'find when this was created', 'git blame for Figma', 'when did this property first appear'. Uses the Figma REST API + a personal access token because version history is NOT r...

Why use Figma Blame Node on TypingMind?

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

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

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 Blame Node?

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

Is the Figma Blame Node 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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