Open Pencil Design Editor
AI-native open-source Figma alternative with CLI, MCP server, and Vue SDK for reading/writing .fig files programmatically.
- Skill ID
- reason-machines/trending-skills/open-pencil-design-editor
- Publisher
- reason-machines
- Repository
- trending-skills
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
reason-machines/trending-skills/open-pencil-design-editorInstalls these files- SKILL.md
What this skill tells the agent
OpenPencil Design Editor
Skill by ara.so — Daily 2026 Skills collection.
OpenPencil is an open-source, AI-native design editor that reads and writes native Figma (.fig) files, provides a headless CLI, an MCP server for AI agents, and a Vue SDK for building custom editors. It is MIT-licensed and runs in the browser, as a desktop app (Tauri/macOS/Windows/Linux), or fully headlessly.
Installation
Web app (no install)
Visit app.openpencil.dev/demo.
Desktop (macOS)
brew install open-pencil/tap/open-pencilOr download from releases.
CLI
bun add -g @open-pencil/cliMCP server
bun add -g @open-pencil/mcpLocal development
git clone https://github.com/open-pencil/open-pencil
cd open-pencil
bun install
bun run dev # Web app at localhost:1420
bun run tauri dev # Desktop (requires Rust)CLI Reference
The open-pencil CLI operates on .fig files headlessly. When the desktop app is running, omit the file argument to connect to the live canvas via RPC.
Inspect file structure
# Print the full node tree
open-pencil tree design.fig
# Find nodes by type
open-pencil find design.fig --type TEXT
open-pencil find design.fig --type FRAME
# Get a specific node by ID
open-pencil node design.fig --id 1:23
# File metadata
open-pencil info design.figXPath queries
# All frames
open-pencil query design.fig "//FRAME"
# Frames narrower than 300px
open-pencil query design.fig "//FRAME[@width < 300]"
# Text nodes whose name contains "Button"
open-pencil query design.fig "//TEXT[contains(@name, 'Button')]"
# Nodes with rounded corners
open-pencil query design.fig "//*[@cornerRadius > 0]"
# Text inside sections
open-pencil query design.fig "//SECTION//TEXT"Export
# PNG (default)
open-pencil export design.fig
# JPG at 2x scale, quality 90
open-pencil export design.fig -f jpg -s 2 -q 90
# SVG
open-pencil export design.fig -f svg
# WEBP
open-pencil export design.fig -f webp
# JSX with Tailwind v4 utility classes
open-pencil export design.fig -f jsx --style tailwindExample Tailwind output:
<div className="flex flex-col gap-4 p-6 bg-white rounded-xl">
<p className="text-2xl font-bold text-[#1D1B20]">Card Title</p>
<p className="text-sm text-[#49454F]">Description text</p>
</div>Design token analysis
open-pencil analyze colors design.fig
open-pencil analyze typography design.fig
open-pencil analyze spacing design.fig
open-pencil analyze clusters design.fig # Repeated structures / component candidatesScripting with Figma Plugin API (eval)
# Read: count children on the current page
open-pencil eval design.fig -c "figma.currentPage.children.length"
# Read: get all text node contents
open-pencil eval design.fig -c "figma.currentPage.findAll(n => n.type === 'TEXT').map(n => n.characters)"
# Write: set opacity of all selected nodes (-w writes back to file)
open-pencil eval design.fig -c "figma.currentPage.selection.forEach(n => n.opacity = 0.5)" -w
# Write: rename all frames on the page
open-pencil eval design.fig -c "figma.currentPage.findAll(n => n.type === 'FRAME').forEach((f, i) => f.name = 'Frame ' + i)" -w
# Connect to the live running desktop app (no file arg)
open-pencil eval -c "figma.currentPage.name"
open-pencil tree
open-pencil export -f pngAll commands support --json for machine-readable output:
open-pencil find design.fig --type TEXT --json
open-pencil analyze colors design.fig --jsonMCP Server
The MCP server exposes 90 tools (87 core + 3 file management) for AI agents to read and write .fig files.
Stdio (Claude Code, Cursor, Windsurf)
bun add -g @open-pencil/mcpAdd to your MCP client config (e.g. ~/.claude/mcp.json or Cursor settings):
{
"mcpServers": {
"open-pencil": {
"command": "openpencil-mcp"
}
}
}HTTP server (scripts, CI)
openpencil-mcp-http
# Listens at http://localhost:3100/mcpClaude Code desktop integration
- Install the ACP adapter: ``
sh npm i -g @zed-industries/claude-agent-acp`` - Add MCP permission to
~/.claude/settings.json: ``json { "permissions": { "allow": ["mcp__open-pencil"] } }`` - Open the desktop app →
Ctrl+J→ select Claude Code from the provider dropdown.
Agent skill (quick setup)
npx skills add open-pencil/skills@open-pencilAI Chat (Built-in)
- Open with
⌘J(macOS) orCtrl+J(desktop/web). - 87 tools: create shapes, set fills/strokes, manage auto-layout, work with components and variables, boolean operations, token analysis, asset export.
- Bring your own API key — no backend or account required.
Supported providers
Configure via the provider dropdown in the chat panel:
| Provider | Env var |
|---|---|
| Anthropic | ANTHROPIC_API_KEY |
| OpenAI | OPENAI_API_KEY |
| Google AI | GOOGLE_AI_API_KEY |
| OpenRouter | OPENROUTER_API_KEY |
| Any compatible endpoint | Custom base URL |
Real-time Collaboration
No server, no account. Peer-to-peer via WebRTC.
- Click the Share button (top-right).
- Share the generated URL:
app.openpencil.dev/share/<room-id>. - Peers see live cursors, selections, and edits.
- Click a peer's avatar to follow their viewport.
Project Structure
packages/
core/ @open-pencil/core — engine: scene graph, renderer, layout, codec
cli/ @open-pencil/cli — headless CLI
mcp/ @open-pencil/mcp — MCP server (stdio + HTTP)
docs/ Documentation site
src/ Vue 3 app — components, composables, stores
desktop/ Tauri v2 (Rust + config)
tests/ E2E (188 tests) + unit (764 tests)Tech stack
| Layer | Technology |
|---|---|
| Rendering | Skia (CanvasKit WASM) |
| Layout | Yoga WASM (flex + CSS Grid) |
| UI | Vue 3, Reka UI, Tailwind CSS 4 |
| File format | Kiwi binary + Zstd + ZIP |
| Collaboration | Trystero (WebRTC P2P) + Yjs (CRDT) |
| Desktop | Tauri v2 |
| AI/MCP | Anthropic, OpenAI, Google AI, OpenRouter; MCP SDK; Hono |
Development Commands
bun run dev # Start web dev server (localhost:1420)
bun run tauri dev # Start desktop app (requires Rust)
bun run check # Lint + typecheck
bun run test # E2E visual regression tests
bun run test:unit # Unit tests
bun run format # Code formatting
bun run tauri build # Production desktop buildDesktop prerequisites: Rust + Tauri v2 platform deps.
Common Patterns
Batch-rename all text nodes in a .fig file
open-pencil eval design.fig \
-c "figma.currentPage.findAll(n => n.type === 'TEXT').forEach((t, i) => t.name = 'Text_' + i)" \
-wExtract all colors as JSON
open-pencil analyze colors design.fig --json > colors.jsonExport every frame as PNG in CI
for id in $(open-pencil find design.fig --type FRAME --json | jq -r '.[].id'); do
open-pencil export design.fig --id "$id" -f png -o "frames/$id.png"
doneQuery nodes matching a naming convention
# Find all nodes named with a "btn-" prefix
open-pencil query design.fig "//*[starts-with(@name, 'btn-')]"Connect an MCP client to a running desktop app
When the desktop app is open, the MCP stdio server can connect to the live canvas. No file path needed — all reads and writes go to the open document.
{
"mcpServers": {
"open-pencil": {
"command": "openpencil-mcp"
}
}
}Export a selection as Tailwind JSX programmatically
open-pencil export design.fig --id 1:23 -f jsx --style tailwindTroubleshooting
`openpencil-mcp` not found after install
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