Official agent skill

Copilot Canvas Extension Author

by github in github/gh-aw

Scaffolds, edits, reloads and debugs a canvas extension that the GitHub Copilot CLI can open in its side panel.

OfficialMITAuto-check passedAgent Workflows

Install Copilot Canvas Extension Author

skills CLI
$ npx skills add github/gh-aw --skill create-canvas -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/gh-aw create-canvas --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/gh-aw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/create-canvas .claude/skills/create-canvas && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
create-canvas
GitHub stars
5.4k
Token cost
~3.7k tokens
SKILL.md length
1,145 words
Files
1
Skills in repo
52
Repo updated
First seen
Licence
MIT

At a glance

Scaffolds, edits, reloads and debugs a canvas extension that the GitHub Copilot CLI can open in its side panel.

  • Works in 6 steps: Decide the scope. Project… → Scaffold via tool, don't hand-write the… → Edit the file. Implement your open,… → …
  • Creating a new canvas extension for the Copilot CLI side panel
  • SKILL.md covers Authoring workflow (do this in…, Extension shape, joinSession signature and Canvas API (canvas.d.ts), plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

This skill walks through building a canvas extension for the Copilot CLI's runtime canvas model, where an extension declares its canvases directly to the runtime on session join, and the runtime routes provider callbacks like canvas open and canvas action invoke straight back to that extension's connection rather than through the host app.

It starts by picking a scope - project (committed and shared with the team), user (local to the current user), or session (loaded only for the current conversation) - then scaffolds the extension through a tool call rather than hand-writing the skeleton, which produces an entry file with a working loopback HTTP server, an example action, and cleanup logic to edit from there. After editing, it reloads the extension, lists and inspects it to catch failures (an inspect call surfaces the log file and its tail when something is marked failed), and finally drives it with calls that list its capabilities, open the canvas and invoke its actions.

The extension's entry file must be named extension.mjs and written as plain ES modules; TypeScript is not supported for it, and the extension itself runs as a forked Node process speaking JSON-RPC over stdio to the CLI.

When your agent uses it

  • Creating a new canvas extension for the Copilot CLI side panel
  • Debugging a canvas extension that failed to load
  • Adding a new action to an existing canvas extension

Example prompts

  • “Scaffold a new project-level canvas extension called release-notes.”
  • “This canvas extension is marked failed, help me debug it.”
  • “Add an action to the canvas that refreshes its data.”

Requirements

  • The Copilot CLI's extension runtime

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Decide the scope. Project (.github/extensions//) is committed to the repo and shared with the team. User ($COPILOT_HOME/extensions//) is…
  2. Scaffold via tool, don't hand-write the skeleton.
  3. Edit the file. Implement your open, actions[], optional onClose, and (if needed) tools/hooks alongside.
  4. Reload. Call extensions_reload. Stale canvas instances flip to stale, then back to ready once the provider reconnects.
  5. Verify. Call extensions_manage({ operation: "list" }) and extensions_manage({ operation: "inspect", name: "" }). If the extension is…
  6. Drive it. Run the validation checklist below via list_canvas_capabilities, open_canvas, and invoke_canvas_action.

What it can do on your machine

Read from SKILL.md and the folder at commit a4ca9f2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript and css).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Copilot Canvas Extension Author loads about 3.7k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 1,145 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/gh-aw at commit a4ca9f2, republished under its MIT licence (© github). 1,145 words, ~3,716 tokens.

Download SKILL.mdSave it as .claude/skills/create-canvas/SKILL.md (or your agent's skills folder).
name
create-canvas
description
Author, validate, and debug canvas extensions that the agent can open in the GitHub Copilot app's side panel. Use when creating, reviewing, or troubleshooting a canvas extension — including its actions, inputs, rendered content, and the surrounding extension wiring (tools, hooks, lifecycle).

Extension Canvas Authoring

Use this skill when creating or debugging an extension canvas that integrates with the runtime canvas model.

The host app no longer participates in extension canvas registration. Extensions declare canvases directly to the runtime via the Copilot SDK on joinSession; the runtime routes provider callbacks (canvas.open, canvas.action.invoke, etc.) straight to the declaring connection; the host app just renders whatever URL the provider returns.

Authoring workflow (do this in order)

  1. Decide the scope. Project (.github/extensions/<name>/) is committed to the repo and shared with the team. User ($COPILOT_HOME/extensions/<name>/) is local to the current user. Session ($COPILOT_HOME/session-state/<sessionId>/extensions/<name>/) is loaded only for the current session — ideal for a throwaway canvas for one conversation. Unless the request makes it obvious, ask before creating files — the choice changes who sees the extension, whether it's committed, and the resulting extensionId.

  2. Scaffold via tool, don't hand-write the skeleton.

    extensions_manage({ operation: "scaffold", kind: "canvas", name: "<name>", location: "project" | "user" | "session" })

    The canvas scaffold produces an extension.mjs with joinSession({ canvases: [createCanvas({...})] }), a working loopback HTTP server per instance, an example action, and onClose cleanup. Edit from there.

  3. Edit the file. Implement your open, actions[], optional onClose, and (if needed) tools/hooks alongside.

  4. Reload. Call extensions_reload. Stale canvas instances flip to stale, then back to ready once the provider reconnects.

  5. Verify. Call extensions_manage({ operation: "list" }) and extensions_manage({ operation: "inspect", name: "<name>" }). If the extension is marked failed, inspect surfaces the log file path and a tail — that log is the primary debugging surface.

  6. Drive it. Run the validation checklist below via list_canvas_capabilities, open_canvas, and invoke_canvas_action.

Extension shape

A canvas extension is a Copilot CLI extension running as a forked Node process that speaks JSON-RPC over stdio to the CLI.

  • Entry file must be named extension.mjs (ES modules only; TypeScript is not supported).
  • Discovery scans only immediate subdirectories of .github/extensions/ (relative to git root), $COPILOT_HOME/extensions/, and $COPILOT_HOME/session-state/<sessionId>/extensions/.
  • The runtime auto-derives a stable extensionId of ${source}:${name} (e.g. project:my-extension); session-scoped extensions embed the session id as session:<sessionId>:<name>.
  • @github/copilot-sdk is resolved automatically by the CLI — do not add a package.json or node_modules for it.
  • stdout is reserved for JSON-RPC. Never console.log. Use session.log(message, { level, ephemeral }).
  • Tool names must be globally unique across all loaded extensions — collisions cause the second extension to fail.

joinSession signature

js
import { joinSession, createCanvas, CanvasError } from "@github/copilot-sdk/extension";

const session = await joinSession({
    canvases: [createCanvas({ /* ... */ })],
    tools: [/* optional */],
    hooks: {/* optional */},
    onPermissionRequest: async (request) => ({ kind: "approve-once" }), // optional
});
// session.sessionId, session.workspacePath (string | undefined),
// session.send, session.sendAndWait, session.log, session.on, session.rpc

Canvas API (canvas.d.ts)

js
import { createCanvas, CanvasError, joinSession } from "@github/copilot-sdk/extension";

const canvas = createCanvas({
    id: "main",                  // unique within this extension
    displayName: "My canvas",    // human-readable label shown in host chrome
    description: "Short summary the agent sees in the system-prompt canvas catalog.",
    inputSchema: { /* JSON Schema for open input (optional) */ },
    actions: [
        {
            name: "do_thing",        // unique within this canvas; MUST NOT start with `canvas.`
            description: "...",
            inputSchema: { /* JSON Schema (optional) */ },
            handler: async (ctx) => {
                // ctx: { sessionId, extensionId, canvasId, instanceId, actionName, input, host }
                // Return raw result; throw CanvasError("code", "message") for errors.
                return { /* ... */ };
            },
        },
    ],
    open: async (ctx) => {
        // ctx: { sessionId, extensionId, canvasId, instanceId, input, host }
        // Idempotent: same instanceId may arrive again after provider reconnect.
        return {
            url: "http://127.0.0.1:<loopback-port>/", // optional for native canvases
            title: "...",   // optional, shown in host chrome
            status: "...",  // optional, shown in host chrome
        };
    },
    onClose: async (ctx) => {
        // Optional. Fire-and-forget; return value ignored.
    },
});

Runtime rules:

  • Action names starting with canvas. are reserved and rejected at declaration time.
  • Every actions[] entry must have a handler; missing handlers fall through to CanvasError.noHandler().
  • Canvas-level inputSchema is validated before open; action-level inputSchema is validated before dispatch. Failure returns canvas_input_invalid with Ajv details.
  • Return raw values from action handlers; throw CanvasError("code", "message") for errors.
  • ctx.canvasId (not ctx.id) is the canvas identifier in handler context.

Loopback server pattern

js
import { createServer } from "node:http";
import { createCanvas, joinSession } from "@github/copilot-sdk/extension";

const servers = new Map(); // instanceId → { server, url }

async function startServer(instanceId) {
    const server = createServer((req, res) => {
        res.setHeader("Content-Type", "text/html; charset=utf-8");
        res.end(renderHtml(instanceId));
    });
    await new Promise((r) => server.listen(0, "127.0.0.1", r));
    const port = server.address().port;
    return { server, url: `http://127.0.0.1:${port}/` };
}

await joinSession({
    canvases: [
        createCanvas({
            id: "my-canvas",
            displayName: "My canvas",
            description: "...",
            open: async (ctx) => {
                let entry = servers.get(ctx.instanceId);
                if (!entry) {
                    entry = await startServer(ctx.instanceId);
                    servers.set(ctx.instanceId, entry);
                }
                return { title: "My canvas", url: entry.url };
            },
            onClose: async (ctx) => {
                const entry = servers.get(ctx.instanceId);
                if (entry) {
                    servers.delete(ctx.instanceId);
                    await new Promise((r) => entry.server.close(() => r()));
                }
            },
        }),
    ],
});

Bind embedded servers to loopback only (127.0.0.1). The host only embeds loopback URLs. Push state updates to the iframe with Server-Sent Events (/events).

ID model — three distinct identifiers

  • canvasId — the canvas type declared by the extension. Accepted by list_canvas_capabilities and open_canvas; not by invoke_canvas_action.
  • extensionId — auto-derived ${source}:${name} (e.g. project:triage-board). Only pass it to disambiguate when two extensions declare the same canvasId.
  • instanceId — caller-invented handle for one running panel (slug or UUID). Two panels of the same canvas need two instanceIds. Validated against ^[A-Za-z0-9][A-Za-z0-9._-]{0,127}$ — max 128 chars, alphanumeric first character, then only [A-Za-z0-9._-].

Example: open_canvas({ canvasId: "triage-board", instanceId: "triage-1" }) then invoke_canvas_action({ instanceId: "triage-1", actionName: "refresh" }).

Agent-side canvas tools

// Open a canvas panel
open_canvas({ canvasId: "my-canvas", instanceId: "my-canvas-1", input?: {...} })
// Returns { instanceId, url? } — no extensionId needed unless two providers share the canvasId.

// Discover a canvas type's actions and input schema
list_canvas_capabilities({ canvasId: "my-canvas" })

// Invoke an action on an open panel
invoke_canvas_action({ instanceId: "my-canvas-1", actionName: "do_thing", input?: {...} })

Re-opening the same instanceId focuses the existing panel (the host emits session.canvas.opened with reopen: true and reloads the iframe without invoking the provider again).

Injecting instructions

  • additionalContext from hooks (everyday path). onSessionStart → once-per-session guidance; onUserPromptSubmitted → per-turn nudges. The runtime appends it as a developer-role message.
  • systemMessage on joinSession (system-prompt path):
    • { mode: "append", content } — append to the SDK foundation.
    • { mode: "customize", sections: {...} } — override individual sections (identity, tone, safety, custom_instructions, runtime_instructions, etc.) with replace / remove / append / prepend / transform-callback actions.
    • Do NOT use { mode: "replace", content } from an extension — it discards the entire SDK-managed prompt including safety guardrails.
Show full SKILL.md (505 more words)Show less

State model

instanceId identifies the panel, not the data. Never key persistent state by instanceId alone — iframes reload, extensions restart, and a fresh instanceId may be opened for the same logical content.

Pick the right storage scope:

  • Per session / workspace — write artifact files into session.workspacePath (returned by joinSession). Lives alongside session artifacts, cleaned up with the session.
  • Per user / global — write under $COPILOT_HOME/extensions/<extension-name>/artifacts/. Follows the user across sessions.
  • Per artifact / document — key under a stable documentId or file path passed via input.
  • In-repo, committed artifacts — architecture diagrams, ADRs, design docs that belong in the repo. Write to a sensible repo path.
  • Per panel (instanceId) — only ephemeral UI state that genuinely should not survive a reload.

Resolve the owning ID in open() from input, load persisted state for that ID, and render. Two instanceIds for the same documentId should show the same content.

App theme tokens

The runtime mirrors the canvas theme contract onto your canvas document:

  • Root/body attributes: data-color-mode, data-dark-theme, data-light-theme, data-theme-source, data-theme-tone, data-visual-mode, pointer-on-hover class.
  • Semantic tokens: --background-color-default, --border-color-default, --text-color-default, --text-color-muted, --color-focus-outline.
  • Type ramp: --font-sans, --font-mono, --font-weight-semibold, --text-body-medium, --leading-body-medium.
  • True-color: --true-color-red, --true-color-red-muted, --true-color-blue, --true-color-blue-muted.
css
body {
    margin: 0;
    background: var(--background-color-default, #ffffff);
    color: var(--text-color-default, #1f2328);
    font-family: var(--font-sans, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif);
    font-size: var(--text-body-medium, 14px);
    line-height: var(--leading-body-medium, 20px);
}

Only depend on the attributes, classes, and variables documented above — others are app-internal and can change.

Validation checklist

  1. Discovery — confirm your canvas appears in the <canvases> section of the system prompt, then verify list_canvas_capabilities({ canvasId }) returns your actions[].
  2. Open — call open_canvas({ canvasId, input? }). Confirm you receive { instanceId, url? } and no error.
  3. Action — call invoke_canvas_action({ instanceId, actionName, input? }) and confirm correct response payload.
  4. Input validation — call open_canvas with input that fails inputSchema. Expect canvas_input_invalid.
  5. Reserved verb rejection — call invoke_canvas_action(instanceId, "canvas.open", ...). Expect canvas_reserved_action_name.

Debugging

  1. extensions_manage({ operation: "list" }) — is the extension loaded? Marked failed?
  2. extensions_manage({ operation: "inspect", name: "<name>" }) — surfaces log file path and tail. Primary debugging surface.
  3. After editing, always extensions_reload before re-running RPC calls.
  4. To force iframe reload, call open_canvas again with the same instanceId.
  5. If not discovered at all, verify the file is named exactly extension.mjs and lives in an immediate subdirectory of .github/extensions/, $COPILOT_HOME/extensions/, or the session's extensions dir.

Sharing extensions via Gist

Use share_extension / install_extension tools. Gist format:

  • Flat file structure (subdirs encoded as \ in gist keys, decoded on install).
  • A copilot-extension.json manifest: { "name": "<extension-name>", "version": 1 }.
  • node_modules/, dist/, build/, .git/, hidden dirs (except .github/) skipped during share.
  • Per-file cap: ~1 MB; total cap: ~5 MB.

Common pitfalls

  • console.log corrupts JSON-RPC. Use session.log() for user-visible messaging.
  • Do not declare action names starting with canvas..
  • Do not forget to wire a handler on every actions[] entry.
  • Bind servers to loopback only.
  • open may be re-invoked on provider reconnect — treat it as idempotent and rehydrate from durable storage.
  • Return raw values from action handlers; throw CanvasError("code", "message") for errors.
  • The canvas context field is ctx.canvasId, not ctx.id.
  • Tool names must be globally unique across all loaded extensions.
  • extension.mjs only — .ts is not supported. The @github/copilot-sdk import is auto-resolved; do not add a package.json for it.

Session object quick reference

js
await session.log("message", { level?: "info"|"warning"|"error", ephemeral?: boolean });
await session.send({ prompt: "...", attachments?: [{ type: "file", path: "..." }] });
const response = await session.sendAndWait({ prompt: "..." });
const unsub = session.on("tool.execution_complete", (event) => { /* ... */ });
// session.workspacePath — path to session workspace (string | undefined)
// session.sessionId — current session ID

Key event types: assistant.message, tool.execution_start, tool.execution_complete, user.message, session.idle, session.error, permission.requested, session.shutdown.

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .github/skills/create-canvas of github/gh-aw.

Open the folder on GitHubat commit a4ca9f2

Compare with similar skills

Copilot Canvas Extension Author next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Copilot Canvas Extension Author compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Plugins ManagementCodeAlive-AI/ai-driven-development1571 repos~3.1kAutomated safety check: NotesMIT
Chat SDKdatabuddy-analytics/Databuddy1.2k—~2.6kAutomated safety check: PassAGPL-3.0
Context Mode Upgrademksglu/context-mode26k—~291Automated safety check: PassCustom licence

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Works with

Questions about Copilot Canvas Extension Author

What does Copilot Canvas Extension Author do?

Scaffolds, edits, reloads and debugs a canvas extension that the GitHub Copilot CLI can open in its side panel. This skill walks through building a canvas extension for the Copilot CLI's runtime canvas model, where an extension declares its canvases directly to the runtime on session join, and the runtime routes provider callbacks like canvas open and canvas action invoke straight back to that extension's connection rather than through the host app.

When should I use Copilot Canvas Extension Author?

Copilot Canvas Extension Author fits situations like: creating a new canvas extension for the Copilot CLI side panel; debugging a canvas extension that failed to load; adding a new action to an existing canvas extension.

How do I install Copilot Canvas Extension Author in Claude Code?

Run `npx skills add github/gh-aw --skill create-canvas -a claude-code`. Or copy the skill folder (.github/skills/create-canvas in github/gh-aw) into .claude/skills/create-canvas in your project. Claude Code loads it when a task matches its description.

How do I install Copilot Canvas Extension Author in Codex?

Run `npx skills add github/gh-aw --skill create-canvas -a codex`. Or copy the skill folder (.github/skills/create-canvas in github/gh-aw) into .agents/skills/create-canvas in your project. Codex loads it when a task matches its description.

Can I use Copilot Canvas Extension Author in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/gh-aw --skill create-canvas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-canvas, .gemini/skills/create-canvas, .github/skills/create-canvas and .opencode/skills/create-canvas in your project.

What does Copilot Canvas Extension Author need to run?

SKILL.md names no scripts, command-line tools or credentials: Copilot Canvas Extension Author is instructions for the agent only. Our summary lists: The Copilot CLI's extension runtime.

Does Copilot Canvas Extension Author access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Copilot Canvas Extension Author safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Copilot Canvas Extension Author use?

Copilot Canvas Extension Author is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Copilot Canvas Extension Author use?

About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Copilot Canvas Extension Author?

Skills that share tags, products or a category with Copilot Canvas Extension Author: Openiap Workflows (hyodotdev/openiap, 154 stars), OpenGUI Installer for DSH (Core-Mate/OpenGUI, 1.8k stars), Plugins Management (CodeAlive-AI/ai-driven-development, 157 stars) and Chat SDK (databuddy-analytics/Databuddy, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Copilot Canvas Extension Author?

github (a GitHub organization, an official publisher) maintains it in github/gh-aw, which has 5,359 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on October 8, 2026.

Source: github/gh-aw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.