tldraw-offline skill
Drive and script tldraw offline canvases with an agent.
Is the tldraw-offline skill safe?
Clean: nothing in its files matched our rules. We read 4 files in the folder on 2026-10-25.
No findings.
Install the tldraw-offline skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/NousResearch/hermes-agent.git /tmp/hermes-agent mkdir -p ~/.claude/skills cp -r /tmp/hermes-agent/optional-skills/creative/tldraw-offline ~/.claude/skills/tldraw-offline
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
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
(diagrams, wireframes, layouts).
- The user has tldraw offline open and asks you to build or modify a canvas
buttons, animation, connection logic) via an embedded document script.
- You want to add durable behavior to a drawing (reactive shapes, interactive
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
https://github.com/tldraw/tldraw-offline/releases/latest (macOS DMG, Windows x64/Arm64, Linux x86_64/arm64 AppImage or amd64/arm64 .deb).
- tldraw offline installed and running, with a document open. Releases:
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.)
- Agent skills installed in the app: Develop → Install Agent Skills. The
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 . A clean quit removes server.json; if it's present but the port doesn't answer, the app quit uncleanly — treat as not running.
- The local control API. On launch the app writes server.json to its config
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=$(jq -r .port ); TOKEN=$(jq -r .token ).
- Re-read port + token on EVERY shell call. Each terminal call is a fresh
- 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=$(python -c "import json;print(json.load(open('$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 $TOKEN" \
-d '{"code":"return (await api.getFocusedDoc()).id"}' | python -c "import sys,json;print(json.load(sys.stdin)['result'])")
# run code with the live `editor` + `helpers` in scope
curl -s "$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
}getCurrentPageShapes, getShape, getBindingsFromShape, zoomToFit, on('tick'|'event', fn), run(fn, { history: 'ignore' })).
- ctx.editor — the live Editor (createShape, updateShape, deleteShapes,
createArrowBetweenShapes(from, to, { arrowheadEnd }), translateShapes, onShapeTranslate(id, fn, { signal }), richTextToPlainText, boxShapes, getLints.
- ctx.helpers — createShapeIfMissing, createShapesIfMissing,
runs before mount; main.js runs against the mounted editor and reruns on save.
- ctx.signal — AbortSignal; attach every listener/interval teardown to it.
- config.js (separate file) registers custom shape/tool/component utils and
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:
watcher uses inotify; a host with an exhausted fs.inotify.maxuserinstances logs inotifyaddwatch ... 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.
- The script only runs once the app's file-watcher applies it. On Linux that
background. cua-driver's default background delivery returns backgroundunavailable against Electron's occluded renderer — but that is the first rung, not a wall. cua-driver returns an escalation: "foreground" hint; set deliverymode: "foreground" (pair with bringtofront) and its X11 XTest path (x11xtest_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.)
- **Driving the canvas with computer-use needs FOREGROUND delivery, not
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
}not by hard-coded coordinates.
- Find buttons by meta (or visible label via helpers.richTextToPlainText),
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.
- One script owns both build and read. If the shapes are created by one code
shape's richText label, so it survives save and is readable for verification.
- Keep app state in a shape's meta (e.g. meta.count) and render it as that
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.
- Detach the listener on signal abort. Skipping this is not cosmetic: on
attached pieces use helpers.onShapeTranslate(id, fn, { signal }).
- For continuous motion use editor.on('tick', fn); for a moving anchor with
Shipping a self-running scripted .tldraw
A .tldraw is a zip of metadata.json + session.json + db.sqlite + assets/
the "This document contains a script → Run Script" consent dialog:
- script/ (only those entries are packable). For the script to auto-run without
the digest is sha256 over each sorted script/ path as ${path}\0${sha256hex(bytes)}\n . A mismatch is rejected as tampered.
- metadata.json must carry a script manifest: { "sha256": "" }, where
({ "trusted": [""] }, or $TLDRAWSCRIPTTRUST). The app skips consent when isScriptTrusted(digest) is true.
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