drawio-skill

drawio-skill — From Text to Professional Diagrams

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A skill that turns natural language and real system sources into maintainable .drawio architecture models. Beyond generation and export, it incrementally synchronizes without discarding manual layout, projects multiple views from one model, enforces architecture contracts, queries dependencies, simulates failure propagation, and publishes dependency-free interactive walkthroughs. Works with Claude Code, Cursor, Copilot, OpenClaw, Codex, Autohand Code, Hermes, and any agent compatible with the Agent Skills format.

✨ Highlights

From a prompt

• Describe it, get an editable .drawio — the skill plans the layout, writes the XML, exports, then self-checks its own PNG and auto-fixes overlaps, clipped labels, and stacked edges (up to 2 rounds), with up to 5 rounds of your feedback
• Mermaid → native .drawio (draw.io ≥ 30) — author 28 standard types as Mermaid text (mindmap, gantt, timeline, journey, pie, sankey, kanban…) and the CLI converts them into a laid-out, editable .drawio: structure in, layout free
• Whiteboard photo / screenshot → editable diagram — snap a legacy PNG or a physical whiteboard, let vision extract the graph, and raster2drawio.py rebuilds it as a real, editable .drawio honouring the original layout
• 11 diagram type presets — ERD, UML Class, Sequence, C4, Architecture, ML/Deep Learning, Flowchart, SysML, BPMN, Network Topology, Cross-Functional Swimlane

From real sources

• Visualize a codebase — import graphs for Python / JS-TS / Go / Rust and Python class hierarchies, with Graphviz placement, transitive reduction, and nested module containers

• IaC and live infrastructure — Terraform, Kubernetes, and docker-compose configs become diagrams with official AWS / Azure / GCP / K8s icons; snapshot what's actually deployed from terraform show -json, docker inspect, or kubectl get -o json

• Schemas and pipelines — SQL DDL → ER diagram, OpenAPI/Swagger → API diagram coloured by HTTP method, AsyncAPI → event-driven architecture diagram, Protocol Buffers → message/service diagram, GraphQL SDL → entity type diagram, GitHub Actions / GitLab CI → pipeline DAG

• Deterministic engines — sequence diagrams with computed lifelines and activation bars; multi-page C4 models with click-to-drill-down

Keep it true over time

• Architecture digital twin / Diagram IR — separate meaning, provenance, and geometry; project executive, system, deployment, data-flow, and security views from one model
• Incremental sync without losing manual layout — diagramctl sync updates changed nodes/relations while preserving tuned coordinates, styles, and annotations; removals stay reviewable by default
• Diagram-as-Test, in CI — YAML/JSON architecture rules (Internet-to-database access, cycles, orphans, trust boundaries, contrast…) plus an official GitHub Action that enforces them on every PR, and a PR action that renders visual diffs
• Query, review, what-if — query components/owners/paths, spot articulation points and high coupling, simulate failure propagation, publish an accessible Story walkthrough
• Drift and history — colour-coded diffs between two diagrams or two live snapshots; a time-lapse player of how a codebase's architecture grew

Share and restyle

• Repurpose with one command — interactive HTML viewer (pan/zoom/search), PowerPoint deck, animated data-flow SVG, Mermaid or Markdown export, click-through runbook, exec-summary compression
• Restyle and enrich — style presets (yours or built-in dark/corporate/…), bilingual label variants with layout untouched, data-driven heat maps, white-to-metro tubemap mode
• 10,000+ official shapes + 321 AI/LLM logos — resolve exact AWS / Cisco / K8s / UML icon styles instead of guessing, plus brand logos draw.io itself lacks
• One CLI, optional MCP server — diagramctl doctor/build/sync/views/query/test/review/whatif/story/publish/transform, core workflows stdlib-only and offline; the MCP server exposes them to Claude Desktop, Cursor, VS Code, Codex, and any MCP host. Portable to any Agent Skills-compatible agent, no daemon

🗺️ Feature Map

A bird's-eye view of everything the skill does — diagram types, import sources, layout engines, styling, export formats, and repurposing — in one map. Fittingly, this map was itself drawn with drawio-skill.

🚀 Installation

1. Install the draw.io desktop CLI

Verify with drawio --version. Version ≥ 30 recommended — it unlocks Mermaid → .drawio conversion and the ELK --layout pass (both unavailable on ≤ 29). On WSL2 the CLI is the Windows desktop exe reached via /mnt/c — the skill detects this automatically (see troubleshooting). Full recipes in docs/INSTALL_CLI.md.

2. Install the skill

# Any agent (Claude Code, Cursor, Copilot, ...)
npx skills add Agents365-ai/drawio-skill -g

# Manual install
git clone https://github.com/Agents365-ai/drawio-skill.git \
  ~/.claude/skills/drawio-skill

# Autohand Code global install
git clone https://github.com/Agents365-ai/drawio-skill.git \
  ~/.autohand/skills/drawio-skill

# Autohand Code project-level install
git clone https://github.com/Agents365-ai/drawio-skill.git \
  .autohand/skills/drawio-skill

Autohand Code also supports autohand --skill-install for cataloged skills, with --project for workspace-level installs. Until this skill is listed there, use the direct clone path above.

Also indexed on SkillsMP.

Updating: skills update drawio-skill (SkillsMP) or git pull for manual installs. See docs/INSTALL_SKILL.md#updates. Release history in CHANGELOG.md.

⚡ Quick Start

After installation, just describe what you want. For example, an ML model:

Draw a Transformer encoder-decoder for machine translation: 6-layer encoder
with self-attention, 6-layer decoder with cross-attention, input embeddings
(batch × 512 × 768), pos