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Drawio Generator

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luongnv89
drawio-generator

Generate professional diagrams as valid draw.io XML — flowcharts, architecture, C4 models, ER diagrams, sequence diagrams, mind maps, and swimlanes. Don't use for Excalidraw or Mermaid output, hand-drawn sketch styles, or slide decks/presentations.

Overview

Publisherluongnv89
Repositoryskills
Skill namedrawio-generator
Stars
124
Forks
18
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by luongnv89 on GitHub. Read the source before you install it.

Installation

Install the Drawio Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/luongnv89/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/diagram-generator/drawio-generator .claude/skills/drawio-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Drawio Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Drawio Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Drawio Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Draw.io Diagram Generator

Generate professional diagrams as valid draw.io XML. Every request flows through four phases — Understand, Propose, Generate, Validate — before the file is written. Body content is intentionally lean to respect the agent's context budget; depth lives in references/.

Part of the diagram-generator suite. For a hand-drawn / sketch look, use excalidraw-generator instead; the diagram-generator umbrella routes between the two.

Environment Check

If the Agent tool is available, use subagents per the Subagent Architecture section. This provides fresh-context validation loops and avoids single-pass context overflow on large diagrams.

If the Agent tool is unavailable (e.g., Claude.ai), execute each phase inline:

  • Phase 1 & 2: Gather requirements directly in conversation
  • Phase 3: Generate the XML in this context
  • Phase 4: Self-review against the 9 checks (less rigorous, but functional)

Core Workflow

Phase 1: Understand

Confirm what to draw before generating anything.

  • Clear request — restate briefly and propose a visualization type:

    "I'll create a C4 container diagram with a layered layout: API gateway on top, services in the middle, databases at the bottom. Sound good?"

  • Ambiguous input — ask targeted questions: main entities, relationships, flow direction, multi-page need.
  • Code, schema, or config provided — extract structure:
    • Code → class/dependency/architecture
    • SQL/schema → ER diagram
    • JSON/YAML config → architecture, deployment
    • Steps/process → flowchart, sequence

Phase 2: Propose

Present a numbered plan and wait for confirmation. For straightforward requests, use sensible defaults and proceed.

  1. Diagram type (offer alternatives if multiple fit)
  2. Key elements — list nodes/shapes
  3. Layout — e.g. (A) Top-to-bottom, (B) Left-to-right, (C) Layered
  4. Style(1) Professional, (2) C4 official, (3) Monochrome
  5. Multi-page? — for C4, offer one page per level
  6. Estimated complexity — small (<10), medium (10–30), large (30+)

Phase 3: Generate

Generate the draw.io XML and write a .drawio file (raw XML).

Read references/xml-authoring.md for shape/edge/container syntax, sizing rules, multi-page structure, and file naming. Read references/drawio-format.md for the full XML schema and color palettes.

Critical rules every shape must follow:

  • Always include html=1;whiteSpace=wrap; in the style string
  • Use descriptive kebab-case IDs (node-api-gateway)
  • Provide <mxGeometry x y width height as="geometry"/> sized to fit the label
  • Edges need source, target, and <mxGeometry relative="1" as="geometry"/>

Phase 4: Validate

Run all 9 checks before writing the file. Fix and re-check until every check passes. See references/validation-checks.md for the full check list, fix patterns, and the validation-report template.

Summary of checks:

  1. Valid XML structure (mxfile → diagram → mxGraphModel → root, system cells present)
  2. All shapes have required attributes (html=1;whiteSpace=wrap; mandatory)
  3. Unique IDs per page
  4. Edge source/target reference existing vertices
  5. Every edge has <mxGeometry relative="1" as="geometry"/>
  6. No overlapping shapes (>10px)
  7. Container hierarchy valid; child coordinates relative to container
  8. Semantic completeness — every requested entity/relationship is represented
  9. Text readable: fontSize ≥ 11, shapes sized to fit value

Expected Output

A valid .drawio file written to disk (raw XML). Minimal example:

xml
<mxfile>
  <diagram name="Flow" id="page-1">
    <mxGraphModel dx="1422" dy="762" grid="1" gridSize="10" page="1" pageWidth="1169" pageHeight="827">
      <root>
        <mxCell id="0"/>
        <mxCell id="1" parent="0"/>
        <mxCell id="node-start" value="Start" style="ellipse;whiteSpace=wrap;html=1;fillColor=#d5e8d4;strokeColor=#82b366;" vertex="1" parent="1">
          <mxGeometry x="100" y="80" width="120" height="50" as="geometry"/>
        </mxCell>
        <mxCell id="node-process" value="Process Request" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#dae8fc;strokeColor=#6c8ebf;" vertex="1" parent="1">
          <mxGeometry x="100" y="200" width="160" height="60" as="geometry"/>
        </mxCell>
        <mxCell id="edge-start-process" value="" style="edgeStyle=orthogonalEdgeStyle;rounded=1;html=1;" edge="1" parent="1" source="node-start" target="node-process">
          <mxGeometry relative="1" as="geometry"/>
        </mxCell>
      </root>
    </mxGraphModel>
  </diagram>
</mxfile>

After file write, the skill reports:

Validation: 9/9 checks passed
- Pages: 1
- Elements: 2 shapes, 1 edge
- Containers: 0
- All IDs unique, all edges bound, no overlaps
File written: flow.drawio

Acceptance Criteria

Verify these for every run:

  • A .drawio file is written to disk with valid XML (parses without error).
  • Every page contains system cells id="0" and id="1" parent="0".
  • Every shape style includes html=1;whiteSpace=wrap; and every edge has <mxGeometry relative="1" as="geometry"/>.
  • Edge source/target attributes resolve to existing vertex IDs in the same page.
  • No two vertex bounding boxes overlap by >10px (containers excluded).
  • All fontSize values ≥ 11; shapes are sized so labels fit without overflow.
  • The validation report prints 9/9 checks passed. Given the user's request, then every entity and relationship described is represented in the output.

Edge Cases

  • Empty or vague input ("make a diagram"): ask targeted clarifying questions before generating — never produce a placeholder.
  • Very large diagram (>50 elements): warn that one page will be crowded; offer multi-page or hierarchical C4.
  • Unsupported diagram type (e.g., Gantt with real date-axis ticks): explain the limitation and propose the closest supported alternative (e.g., swimlane timeline).
  • Existing .drawio file extension: read it first, preserve existing cell IDs, append new elements — never regenerate from scratch.
  • Conflicting layout constraints: surface the conflict and ask which takes priority.
  • Cross-page ID collision: each <diagram> has its own ID namespace; system cells id="0" and id="1" must be present on every page independently.
  • Text exceeds shape capacity: auto-grow shape height ~20px per extra line rather than letting text overflow silently.

Step Completion Reports

After completing each major step, output a status report:

◆ [Step Name] ([step N of M] — [context])
··································································
  [Check 1]:          √ pass
  [Check 2]:          √ pass (note if relevant)
  [Check 3]:          × fail — [reason]
  [Criteria]:         √ N/M met
  ____________________________
  Result:             PASS | FAIL | PARTIAL

Per-phase checks:

  • UnderstandRequirements gathered, Scope confirmed
  • ProposeProposal approved, User confirmed
  • GenerateXML valid, Layout correct, Requirements covered
  • ValidateXML valid, Layout correct, Quality checks 9/9

Style Guidelines

  • Professional (default) — Helvetica, fontSize 14 for labels / 11 for descriptions, draw.io Professional palette, orthogonalEdgeStyle with rounded=1.
  • C4 — official C4 colors, white text on dark fills, bold titles, dashed boundaries.
  • Color assignment — flowcharts: blue=process, green=start/end, orange=decision, red=error. Architecture: color by layer (frontend/backend/data/external). C4: depth-by-blue.

Full palettes and tokens: references/drawio-format.md.


Supported Diagram Types

CategoryTypes
Flow & ProcessFlowchart, sequence, swimlane, state machine, activity, BPMN
ArchitectureSystem, microservices, network, cloud, C4, deployment
Data & RelationshipsER, class, dependency graph, mind map, tree, org chart
PlanningGantt, roadmap, timeline, Kanban
ComparisonQuadrant, SWOT, comparison matrix, Venn
UX/DesignWireframe, user flow, sitemap
CustomAny freeform diagram

Iteration

When iterating on an existing diagram, read the file, modify the XML in place, and rewrite. Preserve element IDs that haven't changed. Common requests: add/remove elements, change layout, adjust style, add a page.


Subagent Architecture

When a diagram exceeds 30 elements, spawn a review loop to avoid single-context degradation. Use the complexity estimate from Phase 2 step 6: large (30+) spawns the subagent review loop below; small/medium proceed inline.

Phase 3 — agents/xml-generator.md

  • Receives: diagram type, elements, edges, style, complexity
  • Outputs: complete draw.io XML with all required attributes
  • Constraint: shapes sized to fit text labels

Phase 4 — review loop (max 3 cycles)

  1. Validate — spawn agents/xml-validator.md. Outputs PASS/FAIL for all 9 checks.
  2. Fix — if NEEDS_FIX, spawn agents/xml-fixer.md with the report. Patches XML; never regenerates. Skips semantic/structure issues (those require generator revision).
  3. Re-validate with cycle++ until PASS or cycle == 3.
  4. Return to main agent for file write or user review.

Fallback — without the Agent tool, validate inline using references/validation-checks.md. Less rigorous but functional.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Drawio Generator AI skill do?

Generate professional diagrams as valid draw.io XML — flowcharts, architecture, C4 models, ER diagrams, sequence diagrams, mind maps, and swimlanes. Don't use for Excalidraw or Mermaid output, hand-drawn sketch styles, or slide decks/presentations.

Why use Drawio Generator on TypingMind?

Because you install it once and use it with any model. Drawio Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Drawio Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/luongnv89/skills/tree/main/skills/diagram-generator/drawio-generator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Drawio Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Drawio Generator?

As many as you like. As long as a model supports skills, you can use Drawio Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Drawio Generator AI skill free?

Yes. It is published on GitHub by luongnv89 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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