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Figma Use Motion

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Devin-AXIS
figma-use-motion

Motion / animation context for the `use_figma` MCP tool — animating Figma nodes via manual keyframes, animation styles, easing, and timeline duration. Load alongside figma-use whenever a task involves adding, editing, or inspecting animation on a node.

Overview

PublisherDevin-AXIS
RepositoryiPolloWork
Skill namefigma-use-motion
Stars
6.3K
Forks
1.2K
Bundled files
2
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.

  • 2 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 Motion 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-motion .claude/skills/figma-use-motion
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Use Motion 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 Motion 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 Motion 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 Motion

Motion context for the use_figma MCP tool. figma-use covers the foundational Plugin API rules — load both together.

Always pass skillNames: "figma-use-motion" (comma-separated alongside figma-use) when calling use_figma for motion work. Logging only.

Runtime Gating

Motion APIs are gated behind the metronome user feature flag. When the calling user doesn't have it, every motion property and helper referenced in this skill throws "<name>" is not a supported API.

Bail out fast on that error. Do not retry; tell the user motion isn't enabled for them and stop. Otherwise you'll burn calls and confuse the user with repeated identical failures.

When to use this skill

Load this skill whenever a use_figma task involves:

  • Adding, editing, or removing keyframes on a node (manualKeyframeTracks, applyManualKeyframeTrack, removeManualKeyframeTrack).
  • Animating fill or stroke colors over time.
  • Applying, editing, or removing animation styles (applyAnimationStyle, removeAnimationStyle, animationStyles).
  • Reading or writing timeline duration via node.timelines / node.setTimelineDuration(id, seconds).
  • Choosing easing for any of the above.

Static design work (creating shapes, components, variables, layout) goes through figma-use alone — this skill is only for the time dimension.

Exposed motion API surface

  • node.manualKeyframeTracks — read/write manual keyframes (including fill, stroke, and effect tracks).
  • node.applyManualKeyframeTrack(field, track) / node.removeManualKeyframeTrack(field) — add, replace, or remove one manual keyframe track without rewriting the whole object.
  • node.animationStyles — read/write animation-style metadata applied to a node.
  • node.applyAnimationStyle(styleId, presetData?) / node.removeAnimationStyle(id) — apply a discovered style and remove an applied style instance by its returned/read-back id.
  • node.timelines — read-only timeline list for the containing top-level frame, with durations in seconds.
  • node.setTimelineDuration(id, durationSeconds) — write the containing top-level frame timeline duration.
  • node.animations — read-only resolved keyframe data (currently manual tracks only — see motion-patterns.md).
  • figma.motion.figmaAnimationStyles() — read-only list of Figma's first-party animation styles.

Authoring custom "figma:motion" preset module source code is out of scope. If the user wants a brand-new animation style, say so and stop; don't fabricate one.

Reference docs

Load these as needed based on what the task involves:

DocWhen to loadWhat it covers
motion-patterns.mdAdding/editing motion animationManual keyframes, animated fills/strokes, applying animation styles, timeline duration
motion-easing.mdSetting animation easingKeyframe easing objects, custom cubic/spring, HOLD, applying easing inside an animation style

Verifying the animation

get_screenshot shows only the timeline's resting state, never motion. To check motion, export_video and sample frames — but it renders server-side and is slow and expensive (~10s to minutes), so make each render count.

Plan before rendering — cost scales with pixels × frames, so keep both no larger than the frames need:

  1. Pick the moments first. You need one frame per phase (e.g. per stagger step, or start / mid / settle), not smooth playback — usually 4–6. This count sets your fps.
  2. Size to what you must read. Start small — constraint: { type: 'WIDTH', value: 320 }, quality: "low" — but text and small elements blur there, so raise WIDTH (768+) when you need to judge fine detail. Omitting constraint = full size (1x; server clamps to 10x / 4096px).
  3. Set fps just high enough to land those frames: fps: 5 covers a handful; 10 is an upper bound. Higher just bloats the render.

Mechanics: export_video works only on a top-level frame whose children carry the animation (pass that frame, not the descendant you keyframed). It returns a jobId with status: "processing" — re-invoke with { fileKey, jobId } to poll. Then extract frames locally with ffmpeg -ss <t> -i anim.mp4 -frames:v 1 frame_<t>.png — extraction is free, so once you've paid for the render, mine it for every frame that tells you something rather than re-exporting. Without a frame extractor like ffmpeg, skip the export and reason about the keyframes instead.

Iterate until it's right. The export is a diagnostic, not a sign-off: if the frames are wrong (bad order, off timing, a missing element, a mask blanking the composite), fix the keyframes/styles and re-export. Read all the frames and batch every fix into one pass before re-rendering — every render carries real overhead, so make each one count instead of re-exporting after each small change.

Skip the export entirely for trivial or self-evident changes.

Pre-flight checklist

In addition to the figma-use pre-flight checklist, verify:

  • Easing uses the public { type: 'EASE_OUT', easingFunctionCubicBezier?: …, easingFunctionSpring?: … } shape — not internal scenegraph names like OUT_CUBIC.
  • Ease-in-out uses the exact public enum EASE_IN_AND_OUT (or EASE_IN_AND_OUT_BACK); never emit the invalid alias EASE_IN_OUT.
  • The node being animated is not a top-level frame (direct child of a page). Animate descendants instead.
  • Timeline values are seconds in the public Plugin API. Extend via setTimelineDuration; never shorten unless the user asked.
  • Transform keyframe fields use public names (TRANSLATION_X, TRANSLATION_Y, ROTATION, SCALE_X, SCALE_Y, SCALE_XY), not internal MOTION_* scenegraph names.
  • Manual keyframe fields come from the public allowlist in motion-patterns.md; generated/internal scenegraph fields intentionally throw.
  • Mutated node IDs are returned (per figma-use Rule 15).
  • When motion correctness isn't self-evident and a frame extractor (ffmpeg) is available, verify via export_video + frame sampling — render small, low fps, iterate until right (see the Verifying the animation section above). get_screenshot shows only the resting state.

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 Motion AI skill do?

Motion / animation context for the `use_figma` MCP tool — animating Figma nodes via manual keyframes, animation styles, easing, and timeline duration. Load alongside figma-use whenever a task involves adding, editing, or inspecting animation on a node.

Why use Figma Use Motion on TypingMind?

Because you install it once and use it with any model. Figma Use Motion 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 Motion 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-motion. 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 Motion?

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 Motion?

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

Is the Figma Use Motion 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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