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Figma Use Figjam

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Devin-AXIS
figma-use-figjam

This skill helps agents use Figma's use_figma MCP tool in the FigJam context. Can be used alongside figma-use which has foundational context for using the use_figma tool.

Overview

PublisherDevin-AXIS
RepositoryiPolloWork
Skill namefigma-use-figjam
Stars
6.3K
Forks
1.2K
Bundled files
13
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.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Devin-AXIS on GitHub. Read the source before you install it.

Installation

Install the Figma Use Figjam 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.
  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/Devin-AXIS/iPolloWork.git /tmp/iPolloWork
mkdir -p .claude/skills
cp -r /tmp/iPolloWork/examples/plugin-packages/figma/skills/figma-use-figjam .claude/skills/figma-use-figjam
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Use Figjam 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 Use Figjam 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 Use Figjam 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.

use_figma — Figma Plugin API Skill for FigJam

This skill contains FigJam-specific context for the use_figma MCP tool. The figma-use skill provides foundational context for plugin API execution via MCP as well as the full Figma plugin API for more advanced use-cases that are not described here.

Always include figma-use-figjam in the comma-separated skillNames parameter when calling use_figma for FigJam operations. If this skill was loaded via an MCP resource, you MUST prefix the name with resource: (e.g. resource:figma-use-figjam). This is a logging parameter used to track skill usage — it does not affect execution.

FigJam URL is figma.com/board/.... Do NOT call figma.createPage() in FigJam — it throws TypeError: figma.createPage no such property 'createPage' on the figma global object. createPage() is a Design-file API only (figma.com/design/...). FigJam files have a single implicit page; organize content with sections instead (see create-section).

Inspecting FigJam Files

get_figjam is the inspection tool for FigJam files. It returns the full node tree as XML, including IDs of pages, sections, stickies, connectors, and other nodes you need to reference in subsequent use_figma calls.

  • Use get_figjam upfront before writing any use_figma code that needs to reference existing nodes (page IDs, section IDs, etc.). Don't try to discover IDs by running an inspection script — console.log output from use_figma is not returned to the agent (see figma-use Critical Rule #4). Only the return value comes back.
  • get_metadata does NOT work on FigJam files — it is design-mode only and will fail immediately with "unsupported for FigJam files".
  • get_screenshot requires a valid nodeId — passing an empty nodeId returns "invalid nodeId" error. Get IDs from get_figjam first.
  • If you forgot to return an ID from a previous use_figma call and need it now, call get_figjam rather than re-running an inspection script.

Loading Reference Docs Efficiently

Load only the references your task needs — but when you do need to load multiple, issue all reads in a single parallel tool-call batch, not sequentially across turns. For a typical board-creation task, that means a single message containing reads for plan-board-content plus the 3-4 specific node-type references you'll use.

Deferred Tools — Batch-Load Schemas

The Figma MCP tools (use_figma, get_figjam, get_screenshot, get_metadata, create_new_file, whoami) often appear as deferred tools that require ToolSearch to load their schemas before they can be called. Load all schemas in a single ToolSearch call using the select: syntax instead of one call per tool:

ToolSearch query="select:use_figma,get_figjam,get_screenshot,get_metadata,create_new_file"

Six sequential ToolSearch calls is six round trips before any work happens. One batched call is one round trip.

Text Mutations — Canonical Recipe

Every FigJam text mutation (sticky/shape/label/table cell/connector text, standalone text nodes) follows the same recipe as Design files: load font → await → mutate → return affected IDs. Skipping the load throws Cannot write to node with unloaded font "<family> <style>". See figma-use → gotchas.md → Canonical text-edit recipe. FigJam-specific note: sublayer defaults vary (sticky → Inter Medium, shape → Inter Medium, connector → invalid until set), so always load from node.text.fontName rather than hardcoding { family: 'Inter', style: 'Regular' }.

Adding Images to a FigJam Board

upload_assets is the ONLY supported way to add images to a FigJam file. Do NOT use figma.createImage() or figma.createImageAsync() from inside use_figma — they are unsupported as image-upload entry points in FigJam. Call upload_assets with the FigJam fileKey; the tool returns single-use upload URLs that you POST raw image bytes to, and the image is committed and placed automatically. Pass nodeId (with count: 1) to attach the upload to an existing FigJam node as a fill; omit nodeId to drop the image onto the board as a new layer.

For the full request/response shape, see figma-use → api-reference.md → Images.

Reference Docs

  • plan-board-content - Read this for any board content request — board template, retro, brainstorm, ice breaker, meeting board, scaffold
    • Covers planning of generated board content, including sequential outline, sections, intents, and hierarchical text
    • Delegates to other references for specific API details
  • create-section — Create and configure FigJam sections (sizing, naming, colors, content visibility, organizing nodes, column layouts)
  • create-sticky — Create and configure FigJam sticky notes (colors, sizing, text, author visibility, batch creation)
  • create-connector — Create and configure FigJam connectors (endpoints, arrows, line types, labels, colors, diagram wiring)
  • create-text — Create and configure FigJam text nodes (font loading, preset fonts and colors, sizing, lists, mind map operations)
  • position-figjam-nodes — Position, size, and reparent nodes on the canvas (including within sections)
  • create-shape-with-text — Create and configure FigJam shapes with embedded text (shape types, color presets, sizing to fit text, diagram layouts)
  • create-code-block — Create and configure FigJam code block nodes (languages, syntax highlighting, positioning, embedding in sections)
  • create-table — Create and configure FigJam tables (rows, columns, cell text, color presets, resizing)
  • edit-text — Edit existing text nodes (font loading, styled ranges, find/replace, FigJam Charcoal default color)
  • create-label — Create and configure FigJam label nodes (small numbered/lettered circle callout markers, sequences, positioning)
  • batch-modify — Patterns for modifying many existing nodes at once (bulk style changes, repositioning, property updates)
  • figjam-colors — Canonical FigJam color palettes for every node type (sticky, section, connector, shape, label) plus the hex/255 notation rule and the h() helper

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 Use Figjam AI skill do?

This skill helps agents use Figma's use_figma MCP tool in the FigJam context. Can be used alongside figma-use which has foundational context for using the use_figma tool.

Why use Figma Use Figjam on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Devin-AXIS/iPolloWork/tree/main/examples/plugin-packages/figma/skills/figma-use-figjam. 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 Use Figjam?

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 Use Figjam?

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

Is the Figma Use Figjam AI skill free?

It is published on GitHub by Devin-AXIS. 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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