💡 Summary
An AI agent skill that enables real-time collaborative diagram drawing on Excalidraw via CLI commands.
🎯 Target Audience
🤖 AI Roast: “It turns your AI into a glorified intern with a mouse, meticulously drawing boxes instead of writing code.”
The skill requires the AI agent to execute shell commands (`agent-canvas start`, `npm install -g`), which introduces a command injection risk if the agent's input is not properly sanitized. Mitigation: Implement strict allow-listing of CLI commands the agent is permitted to call and run the CLI server with minimal system privileges.
Agent Canvas
An AI agent skill for drawing diagrams, flowcharts, and visualizations on Excalidraw.
Features
🔌 Works with any AI agent — Claude Code, Codex, Cursor, or any agent that supports skills.
🧠 Context-aware — Unlike web-based drawing tools, your agent sees your entire codebase. Ask it to "draw the architecture of this project" and it will analyze your code structure to generate accurate diagrams.
⚡ Token efficient — CLI commands instead of generating .excalidraw JSON (thousands of tokens per element):
# JSON approach: 500+ tokens per shape # CLI approach: ~50 tokens agent-canvas add-shape -t rectangle -x 100 -y 100 -l "Hello"
🔄 Real-time & iterative — See changes instantly in browser. Refine diagrams through natural conversation: "make the boxes blue", "add a database layer".
👀 Bidirectional — Agent can export and view the canvas anytime. Make manual edits in Excalidraw, then ask the agent to continue — no screenshots needed.
📦 Easy setup — Skill automatically installs and updates the CLI. Just start drawing.
🧩 Extensible — Add custom drawing tutorials in references/ to teach your agent domain-specific diagram styles.
Installation
npx add-skill WHQ25/agent-canvas --skill agent-canvas
This installs the skill to your AI coding agent (Claude Code, Codex, Cursor, etc.).
After installation, just ask your agent to draw something:
- "Draw a flowchart for user authentication"
- "Create an architecture diagram for a microservices system"
- "Sketch a mind map for project planning"
How It Works
agent-canvas startopens a local Excalidraw canvas in your browser- CLI sends drawing commands via WebSocket, canvas updates in real-time
- You and your agent collaborate on the same canvas
flowchart LR A[You] -->|natural language| B[AI Agent] A -->|edit directly| D B -->|CLI commands| C[CLI Server] B -.->|reads| E[Codebase +\nSkill tutorials] C <-->|WebSocket| D[Browser\nExcalidraw]
Examples
Sequence Diagram
Prompt:
Draw a sequence diagram for WeChat OAuth login flow
Output:

Flowchart with Iterative Refinement
Prompt 1:
Draw a flowchart for the add-text command processing flow
Prompt 2 (refining):
Show all 9 anchor types in a grid, use dashed rectangle to group them
Output:

Architecture Diagram
Prompt:
Draw an architecture diagram for the Excalidraw project based on its codebase structure
Output:

UI Mockup
Prompt:
Design an e-commerce app with product detail, shopping cart, and checkout pages
Output:

CLI Installation
The skill will guide the agent to install the CLI automatically. You can also install it manually:
npm install -g @agent-canvas/cli
Contributing
Contributions are welcome!
The skill is located in skills/agent-canvas/:
SKILL.md- CLI command reference (how to use each command)references/- Drawing tutorials for specific diagram types (flowcharts, UI mockups, etc.)
How to contribute:
- Add new drawing tutorials to
skills/agent-canvas/references/ - Improve the CLI tool in
packages/cli/ - Report issues or suggest features
Development
# Install dependencies bun install # Build all packages bun run build # Run in dev mode (starts both web-app and CLI server) bun run dev # Run CLI commands during development bun dev:cli <command> # Example: bun dev:cli start # Example: bun dev:cli add-shape -t rectangle -x 100 -y 100 # Or link a development version alongside production cd packages/cli bun run link:dev # Creates global `agent-canvas-dev` command bun run unlink:dev # Removes the link
Using agent-canvas-dev lets you test local changes while keeping the production agent-canvas intact.
Pros
- Enables context-aware diagram generation from codebase analysis.
- Real-time, iterative collaboration between agent and user.
- Token-efficient CLI command interface for AI agents.
Cons
- Relies on a separate CLI server and browser process.
- Limited to Excalidraw's feature set and drawing primitives.
- Requires the agent to have shell execution capability.
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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author WHQ25.
