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tldraw Offline

Free

Drive and script tldraw canvases with an agent.

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Free · Opens the source repo

What tldraw Offline does

The tldraw offline skill allows users to interact with the tldraw offline desktop application by reading and modifying open canvases, as well as writing document scripts that enhance the functionality of their drawings. This skill utilizes a local HTTP API, enabling coding agents to make requests directly to the tldraw app, facilitating dynamic editing of diagrams, wireframes, and layouts without needing to manually manipulate the user interface. The skill is particularly useful for developers and designers who want to automate their workflows and add interactive elements to their drawings.

To get started, users must have the tldraw offline application installed and running with a document open. The skill leverages the app's built-in API to perform operations such as creating shapes, updating properties, and adding interactive behaviors through JavaScript embedded in the .tldraw files. This allows for the creation of durable behaviors, such as reactive shapes and interactive buttons, which can enhance the user experience of the drawings created in tldraw.

The skill is designed for users who prefer scripting over manual drawing. It encourages users to write code that generates shapes and behaviors instead of placing them by hand, making it a powerful tool for those who want to leverage the capabilities of coding agents to streamline their design processes. The skill's architecture ensures that every interaction is efficient and that the changes made can persist across sessions, thanks to the document scripts that run on load.

Overall, the tldraw offline skill is an essential tool for developers and designers looking to enhance their productivity by automating canvas interactions and creating more complex, interactive designs without the need for direct GUI manipulation.

When to use it

Use this skill when you have the tldraw offline application open and need to build or modify a canvas programmatically.

When not to use it

This skill is not suitable for users who prefer manual drawing or those who do not have the tldraw offline application installed.

What you can build with it

Automating Diagram Creation

Use the skill to script the creation of complex diagrams in tldraw, allowing for quick adjustments and iterations.

Adding Interactive Elements

Enhance your tldraw canvases by embedding JavaScript that adds interactive buttons and reactive shapes, improving user engagement.

Rapid Prototyping

Utilize the skill to quickly prototype UI layouts and wireframes, leveraging the power of scripting to automate repetitive tasks.

How to install tldraw Offline

View source

1. Install with the skills CLI

npx skills add nousresearch/hermes-agent/tldraw-offline --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by nousresearch

tldraw offline Skill

Work with the tldraw offline desktop app (offline.tldraw.com): read the open canvas, make edits, and write document scripts — JavaScript embedded in a .tldraw file that runs on load and gives the file durable behavior. The app runs a local HTTP API (default localhost:7236) that a coding agent drives with plain curl from its terminal — this is exactly how the app's own homepage demo (Codex editing a canvas live) works. The agent does NOT use computer-use / GUI clicking, and does NOT hand-edit the .tldraw file directly. Keep tldraw offline open while you work.

When to Use

  • The user has tldraw offline open and asks you to build or modify a canvas (diagrams, wireframes, layouts).
  • You want to add durable behavior to a drawing (reactive shapes, interactive buttons, animation, connection logic) via an embedded document script.

Do NOT hand-place shapes to imitate a drawing — write the code that generates them. Agents are far better at scripting the canvas than at drawing on it.

Prerequisites

  • tldraw offline installed and running, with a document open. Releases: https://github.com/tldraw/tldraw-offline/releases/latest (macOS DMG, Windows x64/Arm64, Linux x86_64/arm64 AppImage or amd64/arm64 .deb).
  • Agent skills installed in the app: Develop → Install Agent Skills. The app writes its own tldraw skill into ~/.codex/skills/, ~/.claude/skills/, ~/.cursor/skills/, and ~/.gemini/skills/ — teaching that agent the curl recipes below. (This Hermes skill mirrors that guidance for Hermes.)
  • The local control API. On launch the app writes server.json to its config dir (Linux ~/.config/tldraw/, macOS ~/Library/Application Support/tldraw/, Windows %APPDATA%\tldraw\) with port (default 7236), a bearer token, pid, and startedAt. Every request except GET / needs Authorization: Bearer <token>. A clean quit removes server.json; if it's present but the port doesn't answer, the app quit uncleanly — treat as not running.
  • Re-read port + token on EVERY shell call. Each terminal call is a fresh shell, so an exported token does not persist — "export once and reuse" sends an empty token and 401s. Read both inline at the top of each call: PORT=$(jq -r .port <server.json>); TOKEN=$(jq -r .token <server.json>).
  • No account or network needed for local editing.

How to Run

Two distinct workflows. Pick by whether the change must survive a reload.

A. One-off canvas edits (/exec) — layout, generating shapes, cleanup. This is a live edit, not saved script:

BASE=http://localhost:7236
TOKEN=$(python3 -c "import json;print(json.load(open('$HOME/.config/tldraw/server.json'))['token'])")
# find the focused document id
DOC=$(curl -s "$BASE/api/search" -X POST -H 'content-type: application/json' \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"code":"return (await api.getFocusedDoc()).id"}' | python3 -c "import sys,json;print(json.load(sys.stdin)['result'])")
# run code with the live `editor` + `helpers` in scope
curl -s "$BASE/api/doc/$DOC/exec" -X POST -H 'content-type: application/json' \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"code":"const {createShapeId,toRichText}=await import(\"tldraw\"); editor.createShape({id:createShapeId(),type:\"geo\",x:0,y:0,props:{geo:\"rectangle\",w:200,h:100,color:\"blue\",fill:\"solid\",richText:toRichText(\"hello\")}}); return editor.getCurrentPageShapes().length"}'

B. Durable behavior (script/main.js) — reactive/interactive logic that must survive reload. Edit the file on disk; the app's watcher applies it:

# get the live script file path for the doc
curl -s "$BASE/api/doc/$DOC/script-workspace" -X POST \
  -H "Authorization: Bearer $TOKEN"          # -> result.mainJsPath, result.isDefaultScript
# edit result.mainJsPath with read_file / patch / write_file (see scripts/main.js)
# then confirm the watcher applied it:
curl -s "$BASE/api/doc/$DOC/script-status" -H "Authorization: Bearer $TOKEN"

The ready-to-adapt document script is scripts/main.js.

Quick Reference

The document-script contract (verified against the app's bundled script-context.d.ts):

import { createShapeId, toRichText } from 'tldraw'   // primitives: import, not globals

export default function ({ editor, helpers, signal }) {
  editor.run(() => {                                 // batch = one undo step
    helpers.createShapeIfMissing({                   // idempotent furniture
      id: createShapeId('node-1'), type: 'geo', x: 0, y: 0,
      props: { geo: 'rectangle', w: 200, h: 100, richText: toRichText('hi') },
    })
  })

  const stop = editor.store.listen(() => { /* react */ })  // fires the tick AFTER a commit
  signal.addEventListener('abort', () => stop())           // REQUIRED cleanup on rerun/close
}
  • ctx.editor — the live Editor (createShape, updateShape, deleteShapes, getCurrentPageShapes, getShape, getBindingsFromShape, zoomToFit, on('tick'|'event', fn), run(fn, { history: 'ignore' })).
  • ctx.helperscreateShapeIfMissing, createShapesIfMissing, createArrowBetweenShapes(from, to, { arrowheadEnd }), translateShapes, onShapeTranslate(id, fn, { signal }), richTextToPlainText, boxShapes, getLints.
  • ctx.signalAbortSignal; attach every listener/interval teardown to it.
  • config.js (separate file) registers custom shape/tool/component utils and runs before mount; main.js runs against the mounted editor and reruns on save.

Interactive UI (clickable buttons that drive state)

Drawn shapes can behave like a real app — the thing a static whiteboard can't do. Full example: scripts/counter.js (a number display + MINUS/RESET/PLUS buttons).

Verification boundary — read this before claiming interaction works or doesn't. The app's OWN agent playbook says to verify a clickable-UI script with "one simulated click and one state read" via /exec (editor.dispatch a pointer event, await a tick, read the shape's state) — NOT by driving a real mouse. By that standard the counter is verified: dispatched clicks stepped it 0 → 1 → 2 → 1 → 0. Two caveats worth writing down:

  • The script only runs once the app's file-watcher applies it. On Linux that watcher uses inotify; a host with an exhausted fs.inotify.max_user_instances logs inotify_add_watch ... No space left on device, script-status shows state: "not-watching" / hasEntry: false, and the script never executes. This is a host limit, not a script bug — a normal desktop is unaffected.
  • Driving the canvas with computer-use needs FOREGROUND delivery, not background. cua-driver's default background delivery returns background_unavailable against Electron's occluded renderer — but that is the first rung, not a wall. cua-driver returns an escalation: "foreground" hint; set delivery_mode: "foreground" (pair with bring_to_front) and its X11 XTest path (x11_xtest_fg) clicks land — this dismisses the "Run Script" consent dialog and clicks the canvas. Verified by the Cua team on this exact v1.11.0 AppImage (Linux/X11). Do NOT conclude "Electron rejects synthetic clicks" and give up in background mode — climb to foreground. (The real product path is still /exec, not clicks; this note is for computer-use-driven testing.)

The pattern:

export default function ({ editor, helpers, signal }) {
  // 1. Build buttons idempotently; tag each with meta so the handler finds them.
  //    Give buttons a visible label AND a meta.action.
  // 2. Hit-test pointer_down in PAGE coordinates against the button bounds:
  const inside = (b, p) => p.x >= b.x && p.x <= b.x + b.w && p.y >= b.y && p.y <= b.y + b.h
  function onEvent(info) {
    if (!info || info.name !== 'pointer_down') return
    let p = null
    try { if (info.point && editor.screenToPage) p = editor.screenToPage(info.point) } catch {}
    p = p ?? editor.inputs?.currentPagePoint
    if (!p) return
    const hit = editor.getCurrentPageShapes().find(
      (s) => s.meta?.ui === 'button' &&
        inside({ x: s.x, y: s.y, w: s.props.w, h: s.props.h }, p)
    )
    if (hit) runAction(hit.meta.action)   // mutate state; store it in a shape's meta
  }
  editor.on('event', onEvent)
  signal.addEventListener('abort', () => editor.off('event', onEvent))  // REQUIRED
}
  • Find buttons by meta (or visible label via helpers.richTextToPlainText), not by hard-coded coordinates.
  • One script owns both build and read. If the shapes are created by one code path (with meta.action: 'inc') and the handler reads another convention (meta.action === 'PLUS'), clicks silently do nothing. Ship the buttons built by the same script that handles them, or ship an empty canvas so the script builds them fresh — never pre-bake mismatched shapes into the file's db.
  • Keep app state in a shape's meta (e.g. meta.count) and render it as that shape's richText label, so it survives save and is readable for verification.
  • Detach the listener on signal abort. Skipping this is not cosmetic: on the next save the old onEvent stays attached alongside the new one, so every click fires twice and a counter jumps by 2 instead of 1.
  • For continuous motion use editor.on('tick', fn); for a moving anchor with attached pieces use helpers.onShapeTranslate(id, fn, { signal }).

Shipping a self-running scripted .tldraw

A .tldraw is a zip of metadata.json + session.json + db.sqlite + assets/

  • script/ (only those entries are packable). For the script to auto-run without the "This document contains a script → Run Script" consent dialog:
  • metadata.json must carry a script manifest: { "sha256": "<digest>" }, where the digest is sha256 over each sorted script/ path as `${path}\0${sha256hex(bytes)}\n`. A mismatch is rejected as tampered.
  • Pre-trust the digest by adding it to ~/.tldraw/script-trust.json ({ "trusted": ["<digest>"] }, or $TLDRAW_SCRIPT_TRUST). The app skips consent when isScriptTrusted(digest) is true.

Procedure

  1. Read the current token/port from server.json. Find the target doc with api.getFocusedDoc() (or api.getDocs()); name it explicitly if several are open.
  2. For layout/generation, use /exec. For durable behavior, edit script/main.js via /script-workspace.
  3. Make scripts idempotent: create durable shapes with helpers.createShapeIfMissing and stable createShapeId('name') ids. Scripts rerun on every load.
  4. Keep script-owned writes out of the user's undo stack: editor.run(fn, { history: 'ignore' }) (or helpers.translateShapes, which already does).
  5. For reactivity, editor.store.listen(cb) and tear it down on signal abort. For interaction, editor.on('event', h) (hit-test pointer_down in page coords); for animation, editor.on('tick', h).
  6. For a single moving anchor + attached internals, prefer helpers.onShapeTranslate(anchorId, fn, { signal }) over a broad store listener — a broad listener can turn your own writes into feedback loops.

Shape props (validated against tldraw SDK v5 schema)

editor.createShape / createShapeIfMissing accept partial props (shape utils fill defaults). When building raw records for a file snapshot, every prop below is required (run scripts/validate_shapes.mjs):

ShapeRequired props
noterichText, color, labelColor, size, font, align, verticalAlign, growY, fontSizeAdjustment, url, scale, textLastEditedBy
textrichText, color, size, font, textAlign, w, scale, autoSize
framew, h, name, color
geogeo, w, h, color, fill, richText (+ dash/size/etc. defaulted)

richText must be toRichText('...') — a bare string is rejected. color enum: black grey light-violet violet blue light-blue yellow orange green light-green light-red red white. font enum: draw sans serif mono.

Pitfalls

  • store.listen fires on the tick AFTER a commit, not synchronously. If you write a shape and immediately read state expecting the listener to have run, it hasn't. Verified live: an in-turn read shows 0 fires; after one setTimeout tick it shows 1. Same reason the app notes editor.dispatch is async — await a tick before verifying.
  • ctx, not globals. The entry is export default function ({ editor, helpers, signal }). There is no bare editor global in a document script. createShapeId / toRichText / Vec come from import ... from 'tldraw'.
  • richText, not text. Text/note/geo labels use richText: toRichText(s).
  • Raw records need every prop; createShape does not. In-app pass only the props you care about; a hand-built .tldraw snapshot needs the full set (table).
  • Scripts rerun on every load — be idempotent. Use createShapeIfMissing with stable ids or you duplicate content and clobber user edits.
  • Clean up on signal. signal.addEventListener('abort', () => stop()) for every store.listen / editor.on / setInterval; the signal fires before rerun and on close.
  • Keep script writes out of undo: editor.run(fn, { history: 'ignore' }).
  • editor.on('tick') pauses when the window is hidden (it is a RAF loop); setInterval keeps firing but Electron throttles it to ~1/s in the background.
  • The API needs the bearer token from server.json; the port can be non-default (server.listen(0) picks one) — always read the file, don't hardcode 7236.
  • Only tldraw / react / react-dom import — not a Node project.

Verification

  • Shape schema (offline, no app): node scripts/validate_shapes.mjs — builds the real tldraw schema and validates note/text/frame. Passing prints 3/3.
  • Live canvas edits: after /exec, read back with /api/searchapi.getShapes(docId) (returns { page, viewport, shapes }) and api.getBindings(docId) (array). Confirm expected shapes/bindings exist. Grab api.getScreenshot(docId) (returns { filePath, ... }) and inspect the PNG/JPEG with vision_analyze.
  • Durable script applied: GET /api/doc/:id/script-status. Success is state: "applied" (currentDiskDigest === lastAppliedDigest === manifestSha256, pendingApply === false, lastApplyError === null). If it stays "pending" after a short retry, report that instead of claiming success; "error" means the apply failed — read errorLogPath.

Frequently asked questions about tldraw Offline

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