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drawio-skill

Skill Documents & Content Solid

drawio-skill — From Text to Professional Diagrams. An Agent Skill (SKILL.md) that generates draw.io diagrams from natural language and exports to PNG/SVG/PDF. Works with Claude Code, OpenClaw, Hermes Agent, OpenAI Codex, and SkillsMP.

1,747 starsMIT (commercial OK)FreeQuick setup

Reduces diagram creation time from hours to minutes by converting natural language descriptions directly into exportable draw.io outputs. Eliminates manual tool switching and formatting overhead for technical documentation.

Teams that need to generate architecture, flowchart, or workflow diagrams programmatically as part of documentation pipelines or agent-driven processes.

Claude Code Claude Cowork Claude Chat

https://github.com/Agents365-ai/drawio-skill

By Agents365-ai

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install Agents365-ai/drawio-skill

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars1,747Last updated2026-05-19LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Growing

Discussed on Reddit

12 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 1,747 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 1,747 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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