Sketchy

Sketchy lets Claude draw while it explains: clean, hand-drawn, interactive diagrams rendered right next to the answer. It works in the Claude chat as a skill and in Claude Code as an MCP server.

Claude decides what to draw and label. Sketchy decides where: a part library with named anchor points and automatic layout. Claude never computes coordinates, so drawings come out precise and consistent every time.

What it can draw

Systems, step by step

Ask "What happens when I open a web page?" and Claude draws the whole path, then walks you through it. Each step circles what matters in red pen and fades the rest. Use the buttons or the arrow keys.

Concepts from computer science and machine learning

Sketchy is not limited to hardware. Structure, flow, comparison and metaphor patterns cover any topic, from transformers to TCP.

Your own code

Ask "Explain my repo". Claude reads the code and draws modules, folders and data flow. Click a box to open the file in VS Code, Cursor, Windsurf or Zed; hover to see what it does.

Circuits from Arduino and ESP32 sketches

Ask "How is my sketch wired?". Claude reads pinMode, digitalWrite and friends, places real parts (50 boards, sensors, displays and modules from wokwi-elements) and connects pins by name. Sketchy routes the wires and places the callouts.

Labeled photos

Claude finds a freely licensed photo (Wikimedia Commons, Openverse), and a vision model running on your computer (Florence-2) locates the parts and printed text to label. Attribution is always shown.

Comparisons and metaphors

Interactive, exportable

• Hover any box, pin or wire for details.

• Click a code node to open the file, or a photo credit to open its source.

• Export as SVG or PNG, fonts included: your system's save dialog asks where to put the file.

• Fullscreen where the host supports it.

Related MCP server: Excalidraw Architect MCP

Install

Where do you use Claude? Sketchy comes two ways, and both can be installed side by side:

• In the chat (web, desktop and mobile): the skill. Nothing to install locally.

• While coding (Claude Code in the desktop app or terminal): the extension, which adds photo labeling, SVG and PNG export and click-to-open files.

Claude chat (web, desktop and mobile)

The skill draws right in the chat, with no server:

1. Download sketchy-skill-<version>.zip from the latest release.

2. In Claude, open Settings → Capabilities → Skills and upload the zip.

3. Ask for a drawing in any chat.

Claude writes the scene, and the chat's inline visualization loads Sketchy's browser bundle from jsDelivr, which serves it from this repository's cdn branch. The skill follows the current minor version, so it picks up fixes without being uploaded again. Photo labeling and opening files from a drawing need your computer, so they stay in the desktop extension.

Claude desktop app (Code tab)

1. Download the .mcpb file for your platform from the latest release (macOS on Apple Silicon, Windows or Linux).

2. Double-click it (or drag it into Settings → Extensions) and confirm.

3. Optional: in the extension settings choose your editor and where Sketchy stores its data.

4. Open the Code tab and start a session. Drawings appear inline next to Claude's answer.

The Chat tab does not display views from locally installed extensions; use the skill above there.

The photo-labeling model is not part of the download. The first time Claude labels a photo, Sketchy asks you to pick a model size:

Claude Code in the terminal

The terminal claude does not use desktop extensions, so register Sketchy once for all your projects:

git clone https://github.com/ddkbs/sketchy.git
cd sketchy && npm install && npm run build
claude mcp add sketchy --scope user -- node "$PWD/dist/index.js"

Run claude mcp list to check that it is connected.

Other MCP clients

Sketchy is a standard MCP server and works in any client that supports MCP Apps:

{
  "mcpServers": {
    "sketchy": {
      "command": "node",
      "args": ["/path/to/sketchy/dist/index.js"],
      "env": { "SKETCHY_EDITOR": "cursor" }
    }
  }
}

Try it

• "What happens when I open a web page? Walk me through it."

• "How does an LLM pick the next word?"

• "Explain the architecture of /path/to/my/repo, then walk me through one request."

• "How is this sketch wired?" followed by your .ino file

• "Show me a photo of a Raspberry Pi and label the ports."

• "Compare TCP and UDP."

• "Explain CPU caches with an everyday metaphor."

The same patterns are available as prompts: explain-structure, explain-flow, compare, metaphor, explain-repo and explain-circuit.

How it works

Claude describes the scene (extension: tools like sketch, place_part, label;
                            skill: the same scene as JSON in an inline widget)
          ↓
Scene: nodes, groups, parts, wires, labels, photos, steps — no coordinates
          ↓
Layout engine (elkjs): positions, orthogonal routing, collision-free callouts
          ↓
Viewer: hand-drawn rendering with rough.js, hover, steps, export

Every feature fills the same scene, and a single viewer renders it. The visual style lives in the renderer, so every drawing looks consistent no matter what Claude asks for. The extension runs layout in its server process and shows the viewer as an MCP App; the skill runs the same code in the browser from a bundle on jsDelivr.

Configuration

Development

Requires Node.js 20 or later.

npm install
npm run build      # part catalog, server and viewer
npm test
npm run preview    # viewer with sample scenes at http://localhost:5173/preview.html
npm run pack       # .mcpb bundle for the current platform
npm run build:skill  # chat skill zip
npm run build:web    # browser bundle that the skill loads

See CONTRIBUTING.md for the project layout.

License

MIT © ddkbs. Sketchy builds on open-source work listed in THIRD_PARTY_NOTICES.md.