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Excalidraw Skill skill

Programmatic canvas toolkit for creating, editing, and refining Excalidraw diagrams via MCP tools with real-time canvas sync. Use when an agent needs to (1) draw or lay out diagrams on a live canvas, (2) iteratively refine diagrams using describe_scene and get_canvas_screenshot to see its own work, (3) export/import .excalidraw files or PNG/SVG images, (4) save/restore canvas snapshots, (5) convert Mermaid to Excalid

$npx skills add lingzhi227/agent-research-skills --skill excalidraw-skill
View this skill on GitHublingzhi227/agent-research-skills/skills/excalidraw-skill/SKILL.md
Pack stars
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Updated
9 months ago
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lingzhi227

Excalidraw Skill

Install Excalidraw Skill

Pick your agent. Every command is ready to paste.

$npx skills add lingzhi227/agent-research-skills --skill excalidraw-skill

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads excalidraw-skill when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the excalidraw-skill skill”. In Codex, type $excalidraw-skill.

The skill itself

SKILL.md

FolderGitHub

Excalidraw Skill

Step 0: Detect Connection Mode

Before doing anything, determine which mode is available. Run these checks in order:

Check 1: MCP Server (Best experience)

mcp-cli tools | grep excalidraw

If you see tools like excalidraw/batch_create_elements → use MCP mode. Call MCP tools directly.

Check 2: REST API (Fallback — works without MCP server)

curl -s http://localhost:3000/health

If you get {"status":"ok"} → use REST API mode. Use HTTP endpoints (curl / fetch) from the cheatsheet.

Check 3: Nothing works → Guide user to install

If neither works, tell the user:

The Excalidraw canvas server is not running. To set up:

  1. Clone: git clone https://github.com/yctimlin/mcp_excalidraw && cd mcp_excalidraw
  2. Build: npm ci && npm run build
  3. Start canvas: HOST=0.0.0.0 PORT=3000 npm run canvas
  4. Open http://localhost:3000 in a browser
  5. (Recommended) Install the MCP server for the best experience:
    claude mcp add excalidraw -s user -e EXPRESS_SERVER_URL=http://localhost:3000 -- node /path/to/mcp_excalidraw/dist/index.js
    

MCP vs REST API Quick Reference

Operation MCP Tool REST API Equivalent
Create elements batch_create_elements POST /api/elements/batch with {"elements": [...]}
Get all elements query_elements GET /api/elements
Get one element get_element GET /api/elements/:id
Update element update_element PUT /api/elements/:id
Delete element delete_element DELETE /api/elements/:id
Clear canvas clear_canvas DELETE /api/elements/clear
Describe scene describe_scene GET /api/elements (parse manually)
Export scene export_scene GET /api/elements (save to file)
Import scene import_scene POST /api/elements/sync with {"elements": [...]}
Snapshot snapshot_scene POST /api/snapshots with {"name": "..."}
Restore snapshot restore_snapshot GET /api/snapshots/:name then POST /api/elements/sync
Screenshot get_canvas_screenshot Only via MCP (needs browser)
Design guide read_diagram_guide Not available — see cheatsheet for guidelines
Viewport set_viewport POST /api/viewport (needs browser)
Export image export_to_image POST /api/export/image (needs browser)
Export URL export_to_excalidraw_url Only via MCP

REST API Gotchas (Critical — read before using REST API)

  1. Labels: Use "label": {"text": "My Label"} (not "text": "My Label"). MCP tools auto-convert, REST API does not.
  2. Arrow binding: Use "start": {"id": "svc-a"}, "end": {"id": "svc-b"} (not "startElementId"/"endElementId"). MCP tools accept startElementId and convert, REST API requires the start/end object format directly.
  3. fontFamily: Must be a string (e.g. "1") or omit it entirely. Do NOT pass a number like 1.
  4. Updating labels: When updating a shape via PUT /api/elements/:id, include the full label in the update body to preserve it. Omitting label from the update won't delete it, but re-sending ensures it renders correctly.
  5. Screenshot in REST mode: POST /api/export/image returns {"data": "<base64>"}. Save to file and read it back for visual verification. Requires browser open.

Quality Gate (MANDATORY — read before creating any diagram)

After EVERY iteration (each batch of elements added), you MUST run a quality check before proceeding. NEVER say "looks great" unless ALL checks pass.

Quality Checklist — verify ALL before adding more elements:

  1. Text truncation: Is ALL text fully visible? Labels must fit inside their shapes. If text is cut off or wrapping badly → increase width and/or height.
  2. Overlap: Do ANY elements overlap each other? Check that no rectangles, ellipses, or text elements share the same space. Background zones must fully contain their children with padding.
  3. Arrow crossing: Do arrows cross through unrelated elements or overlap with text labels? If yes → use curved/elbowed arrows with waypoints to route around obstacles (see "Arrow Routing" section). Never accept crossing arrows.
  4. Arrow-text overlap: Do any arrow labels ("charge", "event", etc.) overlap with shapes? Arrow labels are positioned at the midpoint — if they overlap, either remove the label, shorten it, or adjust the arrow path.
  5. Spacing: Is there at least 40px gap between elements? Cramped layouts are unreadable.
  6. Readability: Can all labels be read at normal zoom? Font size >= 16 for body text, >= 20 for titles.

If ANY issue is found:

  • STOP adding new elements
  • Fix the issue first (resize, reposition, delete and recreate)
  • Re-verify with a new screenshot
  • Only proceed to next iteration after ALL checks pass

Sizing Rules (prevent truncation):

  • Shape width: max(160, labelTextLength * 9) pixels. For multi-word labels like "API Gateway (Kong)", count all characters.
  • Shape height: 60px for single line, 80px for 2 lines, 100px for 3 lines.
  • Background zones: Add 50px padding on ALL sides around contained elements.
  • Element spacing: 60px vertical between tiers, 40px horizontal between siblings.
  • Side panels: Place at least 80px away from main diagram elements.
  • Arrow labels: Keep labels short (1-2 words). Long arrow labels overlap with other elements.

Layout Planning (prevent overlap):

Before creating elements, plan your coordinate grid on paper first:

  • Tier 1 (y=50-130): Client apps
  • Tier 2 (y=200-280): Gateway/Edge
  • Tier 3 (y=350-440): Services (spread wide: each service ~180px apart)
  • Tier 4 (y=510-590): Data stores
  • Side panels: x < 0 (left) or x > mainDiagramRight + 80 (right)

Do NOT place side panels (observability, external APIs) at the same x-range as the main diagram — they WILL overlap.

Quick Start

  1. Run Step 0 above to detect your connection mode.
  2. Open the canvas URL in a browser (required for image export/screenshot).
  3. MCP mode: Use MCP tools for all operations. REST mode: Use HTTP endpoints from cheatsheet.
  4. For full tool/endpoint reference, read references/cheatsheet.md.

Workflow: Draw A Diagram

MCP Mode

  1. Call read_diagram_guide first to load design best practices.
  2. Plan your coordinate grid (see Quality Gate → Layout Planning) before writing any JSON.
  3. Optional: clear_canvas to start fresh.
  4. Use batch_create_elements with shapes AND arrows in one call.
  5. Assign custom id to shapes (e.g. "id": "auth-svc"). Set text field to label shapes.
  6. Size shapes for their text — use width: max(160, textLength * 9).
  7. Bind arrows using startElementId / endElementId — arrows auto-route.
  8. set_viewport with scrollToContent: true to auto-fit the diagram.
  9. Run Quality Checklist — get_canvas_screenshot and critically evaluate. Fix issues before proceeding.

REST API Mode

  1. Read references/cheatsheet.md for design guidelines.
  2. Plan your coordinate grid (see Quality Gate → Layout Planning) before writing any JSON.
  3. Optional: curl -X DELETE http://localhost:3000/api/elements/clear
  4. Create elements in one call (use @file.json for large payloads):
    curl -X POST http://localhost:3000/api/elements/batch \
      -H "Content-Type: application/json" \
      -d '{"elements": [
        {"id": "svc-a", "type": "rectangle", "x": 0, "y": 0, "width": 160, "height": 60, "label": {"text": "Service A"}},
        {"id": "svc-b", "type": "rectangle", "x": 0, "y": 200, "width": 160, "height": 60, "label": {"text": "Service B"}},
        {"type": "arrow", "x": 0, "y": 0, "start": {"id": "svc-a"}, "end": {"id": "svc-b"}}
      ]}'
    
  5. Use "label": {"text": "..."} for shape labels (not "text": "...").
  6. Bind arrows with "start": {"id": "..."} / "end": {"id": "..."} — server auto-routes edges.
  7. Size shapes for their text — use width: max(160, labelTextLength * 9).
  8. Run Quality Checklist — take screenshot, critically evaluate. Fix issues before adding more elements.

Bind arrows to shapes for auto-routed edges. The format differs between MCP and REST API:

MCP Mode — use startElementId / endElementId:

{"elements": [
  {"id": "svc-a", "type": "rectangle", "x": 0, "y": 0, "width": 120, "height": 60, "text": "Service A"},
  {"id": "svc-b", "type": "rectangle", "x": 0, "y": 200, "width": 120, "height": 60, "text": "Service B"},
  {"type": "arrow", "x": 0, "y": 0, "startElementId": "svc-a", "endElementId": "svc-b", "text": "calls"}
]}

REST API Mode — use start: {id} / end: {id} and label: {text}:

{"elements": [
  {"id": "svc-a", "type": "rectangle", "x": 0, "y": 0, "width": 120, "height": 60, "label": {"text": "Service A"}},
  {"id": "svc-b", "type": "rectangle", "x": 0, "y": 200, "width": 120, "height": 60, "label": {"text": "Service B"}},
  {"type": "arrow", "x": 0, "y": 0, "start": {"id": "svc-a"}, "end": {"id": "svc-b"}, "label": {"text": "calls"}}
]}

Arrows without binding use manual x, y, points coordinates.

Arrow Routing — Avoid Overlaps (Critical for complex diagrams)

Straight arrows (2-point) cause crossing and overlap in complex diagrams. Use curved or elbowed arrows instead:

Option 1: Curved arrows — add intermediate waypoints + roundness:

{
  "type": "arrow", "x": 100, "y": 100,
  "points": [[0, 0], [50, -40], [200, 0]],
  "roundness": {"type": 2},
  "strokeColor": "#1971c2"
}

The waypoint [50, -40] pushes the arrow upward to arc over elements. roundness: {type: 2} makes it a smooth curve.

Option 2: Elbowed arrows — right-angle routing (L-shaped or Z-shaped):

{
  "type": "arrow", "x": 100, "y": 100,
  "points": [[0, 0], [0, -50], [200, -50], [200, 0]],
  "elbowed": true,
  "strokeColor": "#1971c2"
}

When to use which:

  • Fan-out arrows (one source → many targets): Use curved arrows with waypoints spread vertically to avoid overlapping each other.
  • Cross-lane arrows (connecting to side panels): Use elbowed arrows that route around the main diagram — go UP first, then ACROSS, then DOWN.
  • Inter-service arrows (horizontal connections): Use curved arrows with a slight vertical offset to avoid crossing through adjacent elements.

Rule of thumb: If an arrow would cross through an unrelated element, add a waypoint to route around it. Never accept crossing arrows — always fix them.

Workflow: Iterative Refinement (Key Differentiator)

The feedback loop that makes this skill unique. Each iteration MUST include a quality check.

MCP Mode (full feedback loop)

  1. Add elements (batch_create_elements, create_element).
  2. set_viewport with scrollToContent: true.
  3. get_canvas_screenshot — critically evaluate against the Quality Checklist.
  4. If issues found → fix them (update_element, delete_element, resize, reposition).
  5. get_canvas_screenshot again — re-verify fix.
  6. Only proceed to next iteration when ALL quality checks pass.

REST API Mode (partial feedback loop)

  1. Add elements via POST /api/elements/batch.
  2. POST /api/viewport with {"scrollToContent": true}.
  3. Take screenshot: POST /api/export/image → save PNG → critically evaluate against Quality Checklist.
  4. If issues found → fix via PUT /api/elements/:id or delete and recreate.
  5. Re-screenshot and re-verify.
  6. Only proceed to next iteration when ALL quality checks pass.

How to critically evaluate a screenshot:

  • Look at EVERY label — is any text cut off or overflowing its container?
  • Look at EVERY arrow — does any arrow pass through an unrelated element?
  • Look at ALL element pairs — do any overlap or touch?
  • Look at spacing — is anything crammed together?
  • Be honest. If you see ANY issue, say "I see [issue], fixing it" — not "looks great".

Example flow (MCP):

batch_create_elements → get_canvas_screenshot → "text truncated on 2 shapes"
→ update_element (increase widths) → get_canvas_screenshot → "overlap between X and Y"
→ update_element (reposition) → get_canvas_screenshot → "all checks pass"
→ proceed to next iteration

Workflow: Refine An Existing Diagram

  1. describe_scene to understand current state.
  2. Identify targets by id, type, or label text (not x/y coordinates).
  3. update_element to move/resize/recolor, delete_element to remove.
  4. get_canvas_screenshot to verify changes visually.
  5. If updates fail: check element id exists (get_element), element isn't locked (unlock_elements).

Workflow: File I/O (Diagrams-as-Code)

  • Export to .excalidraw format: export_scene with optional filePath.
  • Import from .excalidraw: import_scene with mode: "replace" or "merge".
  • Export to image: export_to_image with format: "png" or "svg" (requires browser open).
  • CLI export: node scripts/export-elements.cjs --out diagram.elements.json
  • CLI import: node scripts/import-elements.cjs --in diagram.elements.json --mode batch|sync

Workflow: Snapshots (Save/Restore Canvas State)

  1. snapshot_scene with a name before risky changes.
  2. Make changes, describe_scene / get_canvas_screenshot to evaluate.
  3. restore_snapshot to rollback if needed.

Workflow: Duplication

  • duplicate_elements with elementIds and optional offsetX/offsetY (default 20,20).
  • Useful for creating repeated patterns or copying existing layouts.

Points Format for Arrows/Lines

The points field accepts both formats:

  • Tuple: [[0, 0], [100, 50]]
  • Object: [{"x": 0, "y": 0}, {"x": 100, "y": 50}]

Both are normalized to tuples automatically.

Workflow: Share Diagram (excalidraw.com URL)

  1. Create your diagram using any of the above workflows.
  2. export_to_excalidraw_url — uploads encrypted scene, returns a shareable URL.
  3. Share the URL — anyone can open it in excalidraw.com to view and edit.

Workflow: Viewport Control

  • set_viewport with scrollToContent: true — auto-fit all elements (zoom-to-fit).
  • set_viewport with scrollToElementId: "my-element" — center view on a specific element.
  • set_viewport with zoom: 1.5, offsetX: 100, offsetY: 200 — manual camera control.

References

  • references/cheatsheet.md: Complete MCP tool list (26 tools) + REST API endpoints + payload shapes.

Tips for Excalidraw Skill

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Excalidraw Skill

What does the Excalidraw Skill skill do?

Programmatic canvas toolkit for creating, editing, and refining Excalidraw diagrams via MCP tools with real-time canvas sync. Use when an agent needs to (1) draw or lay out diagrams on a live canvas, (2) iteratively refine diagrams using describe_scene and get_canvas_screenshot to see its own work, (3) export/import .excalidraw files or PNG/SVG images, (4) save/restore canvas snapshots, (5) convert Mermaid to Excalid

How do I install Excalidraw Skill?

Run "npx skills add lingzhi227/agent-research-skills --skill excalidraw-skill" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Excalidraw Skill work in Cursor and Codex?

Yes. Excalidraw Skill uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Excalidraw Skill free?

Excalidraw Skill is open source on GitHub. It is free to install; check the license before commercial use.

Who made Excalidraw Skill?

Excalidraw Skill is published by lingzhi227 in the lingzhi227/agent-research-skills repository, together with 29 other skills.

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