drawio-skill

A skill for editable draw.io diagrams from text, code, Terraform, Kubernetes, SQL and OpenAPI, with export and self-checks

  • 10,419 ★ on the repository
  • Last commit
  • MIT
Skill

Extended access

Why this level

  • The skill runs Python scripts and the draw.io CLI
  • Can read output of terraform show, docker inspect and kubectl
All reasons and checks

agents365-ai/drawio-skill

Install

Manual install

npx skills add Agents365-ai/drawio-skill -g

Install the draw.io desktop CLI first

Access and checks

How we review

Extended accessThe tool runs code or makes network calls and only reads external data.

  • The skill runs Python scripts and the draw.io CLI
  • Can read output of terraform show, docker inspect and kubectl

This is third-party code. Review the repository files before installing.

What it does

The skill turns a description or real sources into editable .drawio files. It plans the layout, writes XML, exports PNG, self-checks for overlaps and clipped labels and fixes up to two rounds. It builds diagrams from code imports, Terraform, Kubernetes, docker-compose, SQL DDL, OpenAPI and CI, and converts Mermaid and whiteboard photos. Incremental sync preserves manual layout, and architecture rules can be enforced in CI.

Who it is for. Developers, architects and technical writers who need precise architecture diagrams.

Good fit when

  • You need a microservices diagram with official AWS or Kubernetes icons
  • You want an ER diagram from a SQL schema
  • You need to visualize a project's module structure
  • You need to diff two architecture versions

Not a fit when

  • You want a hand-drawn look: the author suggests excalidraw-skill or tldraw-skill
  • Diagrams should live in git and render in Markdown: use mermaid-skill

Example request

Draw our service architecture in draw.io from the infra folder with official AWS icons

Limitations

Requires the draw.io desktop CLI, with version 30+ recommended for Mermaid and ELK layout. Graphviz is optional for auto layout. AI logos load from the unpkg CDN by default, with --embed for offline use.

How to disable. Delete the drawio-skill folder from your skills directory, for example ~/.claude/skills/drawio-skill.

FAQ

How does it differ from the official jgraph plugin?

Per the README drawio-skill complements the official drawio@drawio plugin: both generate .drawio and export via the desktop CLI, with a full comparison in docs/COMPARISON.md.

Discussion

No questions or reviews yet.

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Comparison with similar tools

Entries that share the main search query, and how they differ.

EntryOfficialRepository starsMain difference
drawio-skill (this entry)no10,419
Draw.io Skillno297skills for draw.io diagrams
Next AI Draw.iono36,485Next AI Draw.io is an MCP server and plugin where the agent draws
Draw.io Scientific Illustratorno1,463a Codex plugin that redraws a scientific figure from a reference on

README in short

The README covers generating from prompts and real sources, sync that keeps manual layout, architecture tests in CI and repurposing to HTML, PowerPoint and SVG. It offers search across 10,000+ official shapes and 321 AI logos. Install via npx skills or git clone after installing the draw.io CLI. A fit section explains when sibling skills from the author are better.

README badge

Original SKILL.md

---
name: drawio-skill
description: Create, edit, synchronize, inspect, test, and publish editable draw.io diagrams. Use when the user explicitly requests draw.io/diagrams.net, needs a polished architecture, ERD, UML, sequence, C4, SysML, BPMN, network, swimlane, ML, or infrastructure diagram, wants code/IaC/SQL/OpenAPI/AsyncAPI/Protobuf/GraphQL converted into a diagram, or wants an existing diagram queried, reviewed, diffed, restyled, kept in sync, or made interactive. Prefer Mermaid/PlantUML elsewhere when the requested artifact is diagrams-as-code rather than an editable draw.io file.
license: MIT
allowed-tools: [Bash, Read, Write, WebFetch]
metadata: {"openclaw":{"requires":{"anyBins":["python3"]},"emoji":"📐","os":["darwin","linux","win32"],"install":[{"id":"brew-drawio","kind":"brew","formula":"drawio","bins":["drawio"],"label":"Install draw.io for native exports","os":["darwin"],"optional":true},{"id":"brew-graphviz","kind":"brew","formula":"graphviz","bins":["dot"],"label":"Install Graphviz for automatic layout","os":["darwin"],"optional":true}]},"hermes":{"tags":["drawio","diagram","architecture","visualization","uml"],"category":"design","requires_tools":["python3"],"related_skills":["mermaid","excalidraw","plantuml"]},"author":"Agents365-ai","version":"3.4.0","homepage":"https://github.com/Agents365-ai/drawio-skill","compatibility":"Core IR, XML, sync, query, test, review, and Story workflows need Python 3 only; native export needs draw.io; Graphviz is optional.","platforms":["macos","linux","windows"]}
---

# Draw.io Architecture Studio

Produce editable `.drawio` artifacts, not flattened pictures. The preferred
entrypoint is `scripts/diagramctl.py`, which unifies generation, incremental
sync, multi-view projection, semantic queries/tests/reviews, failure analysis,
and accessible publishing over a shared Diagram IR.

## Choose the workflow

| Request | Route |
| --- | --- |
| Natural-language diagram with precise styling | Read `references/diagram-types.md`, then `references/xml-authoring.md` and author XML |
| Standard flowchart/mindmap/gantt/timeline/etc. with no special styling | If draw.io >=30, read `references/mermaid-authoring.md` and convert Mermaid to native `.drawio` |
| Large graph (~15+ nodes) that needs automatic layout | Use `autolayout.py`; read `references/autolayout.md` before passing any `--layout` value |
| Code, Terraform, K8s, compose, SQL, OpenAPI, AsyncAPI, or CI source | Use `diagramctl.py build`; read `references/diagram-ir.md` |
| Protocol Buffers schema (.proto) | Use `protoimports.py` or `diagramctl.py build`; read `references/toolbox.md` |
| GraphQL SDL schema (.graphql/.gql) or introspection JSON | Use `graphqlerd.py` or `diagramctl.py build`; read `references/toolbox.md` |
| Running cluster/stack/cloud (actual state, not declared config) | Read `references/live-infra.md`, then use `tfstate.py`, `dockerimports.py`, or `k8simports.py -` |
| Update a generated diagram without losing manual layout | Use `diagramctl.py sync`; read `references/diagram-ir.md` |
| Executive/system/deployment/data-flow/security views | Use `diagramctl.py views`; read `references/diagram-ir.md` |
| Query, architecture policy, review, what-if, or guided walkthrough | Read `references/semantic-workflows.md` |
| MCP host (Claude Desktop, Cursor, VS Code, Codex) should call these workflows | Register `scripts/diagramctl_mcp.py`; read `references/mcp.md` |
| Prompt phrasing for a diagram type or semantic workflow | Read `references/cookbook.md` |
| Enforce architecture rules or visual diffs in GitHub Actions CI | Read `references/ci-gate.md` |
| Rendered before/after/diff images as a PR review comment | Use `prdiff.py`; read `references/pr-bot.md` |
| Existing `.drawio` to HTML/PPTX/Mermaid/Markdown/animation/runbook | Read `references/toolbox.md`; `diagramctl.py transform` exposes the existing tools |
| Pipeline, journey, or subsystem map drawn as a metro/subway map | Use `tubemap.py`; read `references/tubemap.md` |
| Shape, cloud/vendor, AI, or Databricks icon | Read `references/shapes.md` or `references/databricks.md`; never guess shape names |
| Learn/apply/manage a visual style | Read `references/style-presets.md` |
| Extract a reusable style from an existing diagram or theme | Read `references/style-extraction.md` |
| Existing image to editable diagram (screenshot, whiteboard photo, legacy PNG) | Read `references/derasterize.md` |
| Export/platform problem | Read `references/troubleshooting.md`; for access/network questions read `references/security.md` |

## Unified CLI

Run from this skill directory, or replace `scripts/` with the absolute path to
this skill's scripts directory:

```bash
python3 scripts/diagramctl.py doctor
python3 scripts/diagramctl.py build model.json --from ir -o architecture.drawio
python3 scripts/diagramctl.py build ./infra --from terraform --group \
  --ir-output architecture.ir.json -o architecture.drawio
python3 scripts/diagramctl.py sync architecture.drawio ./infra --from terraform \
  -o architecture.next.drawio
python3 scripts/diagramctl.py views architecture.ir.json \
  --views executive,system,deployment,dataflow,security -o views.drawio
python3 scripts/diagramctl.py test architecture.drawio --rules policy.yml
python3 scripts/diagramctl.py review architecture.drawio -o review.md
python3 scripts/diagramctl.py query architecture.drawio --from internet --to orders-db
python3 scripts/diagramctl.py whatif architecture.ir.json --fail kafka \
  --drawio kafka-failure.drawio -o impact.json

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