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drawio-skill

Create, edit, synchronize, inspect, test, and publish editable draw.io diagrams

Install / Use

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

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

91/100

Category

Operations

Supported Platforms

Universal

Our assessment of drawio-skill

drawio-skill scores 91/100 on our quality scale, 99th of 292 Operations skills we index (top 34%).

Its SKILL.md is 9.6 KB long, well organised into 10 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

With 9,681 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
18/20
Description
12/15
Adoption
17/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 12 days ago, so drawio-skill is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

drawio-skill compared with similar skills

All 4 of these similar skills score higher than drawio-skill; compare them before choosing.

SkillScoreStarsUpdatedFormat
drawio-skill (this skill)by Agents365-ai919.7k12d agoSKILL.md
claude-memby thedotmack10094.7ktodayCLAUDE.md
Agent-Reachby Panniantong10085.5k11d agoCLAUDE.md
headroomby headroomlabs-ai10073.8ktodayCLAUDE.md
Scraplingby D4Vinci10083.8ktodayMCP Server

Frequently asked questions

How do I install drawio-skill?
Run npx skills add Agents365-ai/drawio-skill --skill drawio-skill. The install tabs above show the steps for each supported agent.
Which AI agents does drawio-skill work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is drawio-skill safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is drawio-skill still maintained?
The repository was last updated 12 days ago, so drawio-skill is actively maintained.

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:

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
python3 scripts/diagramctl.py story architecture.ir.json -o walkthrough.html

doctor does not launch GUI tools unless --probe is passed. Core semantic commands are offline and stdlib-only.

Creation workflow

  1. Infer the diagram type, audience, scope, output format, and location from the request. Ask only when a missing choice materially changes the result; default to PNG plus .drawio in the working directory.

  2. Select the authoring route from the table above. For a data-backed diagram, prefer Diagram IR and preserve provenance. For a large graph, use an importer or autolayout.py; do not hand-place more than roughly fifteen nodes.

  3. Resolve an explicitly named style preset, or the user's default preset, as documented in references/style-presets.md. Structural diagram conventions and visual presets compose; they do not replace each other.

  4. Generate the .drawio, then run structural validation:

    python3 scripts/validate.py diagram.drawio --score
    

    When semantic metadata or an architecture policy is in scope, also run diagramctl.py test. Do not present inferred semantic findings as verified runtime facts.

  5. Export a draft PNG without embedded XML and inspect it visually. Fix obvious overlap, clipping, disconnected edges, edge-through-node routing, stacked edges, and unreadable labels. Stop automatic vision repair after two rounds. When the drawio binary is unavailable or a visual check is inconclusive, verify the renderer's own DOM instead (--dump-dom on the viewer URL, see references/troubleshooting.md): read each edge's <path> segments and label anchor coordinates directly — vision alone both misses geometry defects and hallucinates new ones.

  6. Show the draft and apply targeted edits. Preserve existing geometry for local changes. Use sync for source-backed changes and write a reviewable output; use --prune only when deletion was requested.

  7. After approval, create final requested formats and report both editable source and export paths.

Export invariants

Resolve the available binary once (drawio, draw.io, the macOS app path, or the Windows executable) and use that exact binary for the run.

# Draft for visual inspection: never use -e here
drawio -x -f png --width 2000 -o diagram.png diagram.drawio

# Final editable PNG
drawio -x -f png -e -s 2 -o diagram.drawio.png diagram.drawio
python3 scripts/repair_png.py diagram.drawio.png

# Final editable SVG/PDF
drawio -x -f svg -e --embed-svg-images -o diagram.svg diagram.drawio
drawio -x -f pdf -e -o diagram.pdf diagram.drawio

Do not combine --width and -s. Embedded PNG exports require repair_png.py; draft PNGs used by vision must not use -e. On Linux headless, follow references/troubleshooting.md rather than improvising Electron flags. If the CLI crashes in a macOS sandbox, try one permitted escalated run, then use encode_drawio_url.py or deliver XML; do not repeatedly launch it.

Editing and identity

  • Use stable semantic IDs and never reuse reserved IDs 0 or 1.
  • Every edge requires <mxGeometry relative="1" as="geometry"/>.
  • For a local edit, change the matching cell only; for a global direction change, regenerate/re-layout the page.
  • Keep provenance, data-model-id, semantic properties, manual geometry, and manual styles intact unless the user requests otherwise.
  • When reconciling, retain removals as reviewable faded elements by default.
  • For edges stacked at a boundary, run edgeports.py; add waypoints when an edge still crosses an unrelated shape. There is no CLI-only edge rerouter that preserves node positions.

Quality and trust

An attractive diagram can still be wrong. Prefer source-backed relationships, show provenance where useful, distinguish exact extraction from AI inference, and keep architecture review findings framed as prompts. Story HTML must remain self-contained, keyboard usable, and include a text alternative. Never include secrets in node properties or provenance because they are embedded in outputs.

For all focused scripts and composition patterns, read references/toolbox.md; load only the task-specific reference needed for the current request.

Related Skills

View on GitHub
GitHub Stars9.7k
CategoryOperations
Updated12d ago
Forks680

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions