智能体工作流

excalidraw-skill

yctimlin/mcp_excalidraw

Excalidraw canvas toolkit for creating, editing, and refining diagrams on a live canvas. Use when an agent needs to (1) draw or lay out diagrams, (2) iteratively refine them by describing the scene and screenshotting its own work, (3) export/import .excalidraw files or PNG/SVG images, (4) save/restore canvas snapshots, (5) convert Mermaid to Excalidraw, or (6) perform element-level CRUD, alignment, distribution, grouping, duplication, and locking. Primary interface is the bundled CLI (npx -y mcp-excalidraw-server <command>) which auto-starts the canvas server; MCP tools and a REST API are equivalent alternatives.

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安装命令

npx skills add https://github.com/yctimlin/mcp_excalidraw --skill excalidraw-skill

SKILL.md

Excalidraw Skill

Step 0: Pick an Interface

Three interfaces drive the same live canvas. Pick the first one that applies:

  1. MCP tools — if excalidraw/* tools (e.g. batch_create_elements) are in your tool list, prefer them: results land directly in your context, and screenshots come back as images without touching disk.
  2. CLI (default when no MCP tools are present):
    npx -y mcp-excalidraw-server <command>
    
    No setup needed — any canvas-touching command auto-starts the canvas server on http://127.0.0.1:3000 (first npx run downloads the package). If the CLI is installed globally (npm i -g mcp-excalidraw-server), the shorter alias excalidraw-canvas <command> works too.
  3. REST API (last resort, e.g. from application code): HTTP endpoints on http://127.0.0.1:3000 — see references/cheatsheet.md for payloads. The server must already be running.

The canvas URL comes from EXPRESS_SERVER_URL (default http://127.0.0.1:3000). Screenshots and image exports render headless inside the canvas server, so you never need a browser tab to check your own work. Only mermaid conversion and viewport control need an open tab (CLI exits with code 4 when it's missing). Still tell the user the URL — opening it lets them watch you draw.

CLI Quick Reference

Results are JSON on stdout — except describe (plain text) and raw-content output when --out is omitted (export scene JSON, screenshot --format svg). Diagnostics on stderr. Exit codes: 0 ok, 1 error, 2 usage, 3 canvas unreachable, 4 browser tab required (only mermaid and screenshot --renderer browser).