ZBS Index What actually exists in applied AI, with the source next to it

skill

drawio-skill

Use when the user requests diagrams, flowcharts, architecture diagrams, ER diagrams, UML / sequence / class diagrams, SysML / MBSE diagrams (block definition, internal block, requirement, parametric), BPMN business process diagrams, swimlane / cross-functional flowcharts, network topology, cloud architecture from Terraform or Kubernetes manifests, ML/DL model figures (Transformer/CNN/LSTM), mind maps, or any visualization. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Best suited when the diagram needs custom styling, rich shape vocabulary, swimlanes, or exportable images (PNG/SVG/PDF/JPG). Generates .drawio XML and exports locally via the native draw.io desktop CLI.

Description as published by the maintainer. Source

  • active

active — Most recent push to the repository was 2026-08-05.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 7,245 Stars on the repository that contains this skill, not on the skill itself. A collection of fifty skills shares one number, so it says nothing about this particular skill. cumulative, all time GitHub
Last commit 2026-08-05 Most recent push to the containing repository. It may reflect work on a different skill in the same collection. point in time GitHub
repository status active The repository holding this skill exists and is not archived. as of fetch GitHub

Will this work with your setup?

No harness stated by the author and no install path convention detected. Compatibility is untested.

We have not run this skill against a task with and without it enabled, so we cannot tell you whether it improves anything, what it costs in tokens, or whether it duplicates behaviour your harness already has. When we have run that test, the result will appear on this page with the task, the versions and the budget it used.

The skill definition lives at skills/drawio-skill/SKILL.md in https://github.com/Agents365-ai/drawio-skill.

Where to get it

Related, by what their authors tagged them

  • CodePic — last commit 2026-06-16, shares flowchart
    AI agent draws editable hand-drawn diagrams (flowchart, ER, architecture) via MCP, not static images
  • io.github.den-indance/network-diagram-mcp — last commit 2026-05-25, shares network-topology
    Network topology editor — Claude builds diagrams via MCP. nmap/CSV import, one-click SSH.
  • io.github.builditwithgk/repo-cartographer — last commit 2026-08-05, shares architecture-diagram, github-actions
    Maps any repo into an architecture diagram (Mermaid/Graphviz) and enforces architecture rules in CI
  • Workflow Generator — last commit 2026-07-27, shares architecture-diagram, claude-code-skill
    Architecture diagram with concurrency capacity and bottleneck estimates from any codebase.
  • ai.testiv/mcp — last commit 2026-08-04, shares github-actions
    Local-first visual regression for AI agents: verdicts, diff images, explain_snapshot. No API key.
  • io.github.aarwitz/tapp — last commit 2026-07-30, shares github-actions
    Autonomous QA for iOS + web — agents get a deterministic ship/no-ship verdict, no test code
  • io.github.abhinavteja123/codemore — last commit 2026-07-18, shares github-actions
    The static analyzer your AI agent reads — fix-ready, machine-readable scan reports over MCP.
  • io.github.Alberto-Codes/docvet — last commit 2026-08-04, shares github-actions
    Docstring quality vetting for Python -- enrichment, freshness, coverage, and presence checks
  • io.github.aryamthecodebreaker/fixmap — last commit 2026-08-04, shares github-actions
    Deterministic local-first repo context for coding agents with one-command GitHub issue analysis.
  • Evidrift — last commit 2026-08-04, shares github-actions
    Catch TypeScript API and OpenAPI contract drift in AI-generated code, then revalidate it in CI.

These share tags the maintainers applied themselves, such as flowchart, network-topology, architecture-diagram, github-actions. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: agent-skills, architecture-diagram, bpmn, claude-code, claude-code-skill, claude-skills, diagram, drawio, erd, flowchart, github-actions, image-to-diagram, mbse, mindmap, network-topology, openclaw, openclaw-skills, skillsmp, sysml, uml.

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Sources

  1. Agents365-ai/drawio-skill on GitHub — GitHub, observed , trust tier 3.