Generate editable .drawio diagrams from natural-language descriptions and export to PNG, SVG, PDF, or JPG.
npx skills add https://github.com/akillness/jeo-skills --skill drawio-akillness
Please help me install this Agent Skill. Skill: drawio Source: https://github.com/akillness/jeo-skills/tree/main/.agent-skills/drawio Command: npx skills add https://github.com/akillness/jeo-skills --skill drawio-akillness
Turn natural-language descriptions into editable .drawio diagrams and export them to PNG / SVG / PDF / JPG via the native draw.io desktop CLI, or turn an existing codebase (Python / JS-TS / Go / Rust) into an auto-laid-out structure diagram. Wraps Agents365-ai/drawio-skill: 6 diagram presets (ERD, UML class, sequence, architecture, ML/DL, flowchart), search across 10,000+ official AWS/Azure/GCP/Cisco/K8s/UML/ BPMN shapes, 321 AI/LLM brand logos, vision self-check + auto-fix, and a 5-round iterative refinement loop. No MCP server, no daemon — runs from a single SKILL.md and the draw.io CLI. Use when the user wants polished, precise, exportable diagrams or wants to visualize code structure.
.drawio diagrams that stay editableDescribe a task in plain language to generate an editable .drawio diagram and export it to PNG/SVG/PDF.
High-intent search queries and answers about installing and using this skill.
This skill generates editable .drawio architecture diagrams from natural-language descriptions, applying presets like ERD, UML, sequence, and flowchart, then exports them to PNG, SVG, PDF, or JPG via the native draw.io desktop CLI.
Yes, you can visualize Python, JS-TS, Go, and Rust codebases as auto-laid-out structure diagrams by processing the source code through the draw.io workflow to map dependencies and architecture automatically.
You can export a .drawio diagram to PNG, SVG, PDF, or JPG using the native draw.io desktop CLI, which runs directly from a single SKILL.md file without requiring an MCP server or background daemon.
Yes, the diagram tool searches across 10,000+ official AWS, Azure, GCP, Cisco, Kubernetes, UML, and BPMN shapes, alongside 321 AI and LLM brand logos, to ensure professional and accurate cloud architecture visualizations.
The iterative refinement loop runs a vision self-check and auto-fix process for up to five rounds, automatically detecting and correcting layout issues and structural errors to improve overall diagram correctness and visual quality.
No, you do not need an MCP server or background daemon to generate draw.io diagrams, as the entire workflow operates from a single SKILL.md file and leverages the local draw.io desktop CLI for processing and export.
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