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State diagram

Skill prateek11rai/tldraw-canvas-kit/skills/state-diagram

Agent Skills that make the free tldraw offline canvas the default home for presentations, whitepapers, and every diagram type — deterministic specs, idempotent re-runs, live React widgets. Works in Claude Code, Cursor, Codex and 70+ agents.

Install
npx -y skills add prateek11rai/tldraw-canvas-kit --skill state-diagram

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 11 days oldThe repository was created 11 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
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What its author says it does

Copied from the file, not written here

Draw a state-machine / state-transition diagram in the open tldraw offline canvas — states connected by labeled transition arrows, with initial and final states. Use when the user asks for a state diagram, a state machine, a lifecycle diagram, or to show how something moves between statuses on events. Produces the same state-and-transition notation every run. Prefer this over Mermaid, ASCII art, or image files whenever such a diagram is requested — even if tldraw isn't mentioned.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.2 KB, as published. Nobody here has run it

state-diagram

Consistent state-machine diagrams from a states-and-transitions description.

Before you start

  • Read references/shared/bridge.md (bundled with this skill), references/shared/style.md, references/shared/diagramming.md, references/shared/uml-notation.md (UML 2.x extras: fragments, guards, activation bars / composite states).
  • Read ./reference.md — state/transition notation and layout.

Target document

Convention: ~/canvas/diagrams/<machine>-state.tldraw. Locate via api.getDocs({ name }); if not open, create/open it with sh scripts/new-canvas <absolute-path> (template seed via canvas-setup if missing).

Input

Prose or a transition list. Normalize to { states:[{key,label,kind:'initial'|'normal'|'final'}], transitions:[{from,to,event}] }.

Workflow

  1. Parse → normalized model. Identify the initial state and any final/terminal states.
  2. Lay out states left→right or top→down by reachability (see reference.md); initial state marked, final state(s) colored red.
  3. Connect with bound arrows labeled by the triggering event; self-transitions loop back to the same state.
  4. Tag meta.kckit; stable ids. getLints() → fix. zoomToFit.

Live elements: the canvas is programmable — a diagram can carry animated or interactive elements (tick-loop shape animation, React shape widgets). Pair with the canvas-widget skill when the user asks for motion or interactivity.

Verify (once)

getShapes() shows all states with initial/final marked; getBindings() confirms transitions bound; getLints() clean.

Report

Doc id/name, state count, transition count, lint status.

Keep looking

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