agentleFS
dandavisondandavison/agent-skills/canvas-commons-animations/SKILL.md

canvas-commons-animations

Skill3 starsChanged 5 months agoNo licenceView on GitHub

Create, edit, and verify programmatic animations in Canvas Commons or Motion Canvas — the TypeScript framework where scenes are generator functions and a JSX-built retained scene graph is animated by driving signal-backed properties. Use this whenever the user wants to build, modify, or debug an animation, scene, motion graphic, explainer, or visualization in this framework: anything mentioning Canvas Commons, Motion Canvas, makeScene2D, @canvas-commons/2d or @motion-canvas/2d, a .tsx "scene", tweens/signals/flow animation, or rendering such a scene to frames or video. Also use it when the user points at the canvas-commons / motion-canvas repo and asks to "animate X", "make an animation of Y", or capture/preview/render frames of a scene — even if they don't name the framework explicitly. Critically, this skill carries the headless frame-capture loop for visually verifying an animation, which type-checking and building cannot do; reach for it any time animation output needs to be seen, not just compiled.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.