Draw Io logo

Draw Io

OrganizationPopular
softaworks
draw-io

draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.

Overview

Publishersoftaworks
Repositoryagent-toolkit
Skill namedraw-io
Stars
2.5K
Forks
226
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Draw Io 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/softaworks/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/draw-io .claude/skills/draw-io
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Draw Io 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 Draw Io 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 Draw Io 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 Skill

1. Basic Rules

  • Edit only .drawio files
  • Do not directly edit .drawio.png files
  • Use auto-generated .drawio.png by pre-commit hook in slides

2. Font Settings

For diagrams used in Quarto slides, specify defaultFontFamily in mxGraphModel tag:

xml
<mxGraphModel defaultFontFamily="Noto Sans JP" ...>

Also explicitly specify fontFamily in each text element's style attribute:

xml
style="text;html=1;fontSize=27;fontFamily=Noto Sans JP;"

3. Conversion Commands

See conversion script at scripts/convert-drawio-to-png.sh.

sh
# Convert all .drawio files
mise exec -- pre-commit run --all-files

# Convert specific .drawio file
mise exec -- pre-commit run convert-drawio-to-png --files assets/my-diagram.drawio

# Run script directly (using skill's script)
bash ~/.claude/skills/draw-io/scripts/convert-drawio-to-png.sh assets/diagram1.drawio

Internal command used:

sh
drawio -x -f png -s 2 -t -o output.drawio.png input.drawio
OptionDescription
-xExport mode
-f pngPNG format output
-s 22x scale (high resolution)
-tTransparent background
-oOutput file path

4. Layout Adjustment

4.1. Coordinate Adjustment Steps

  1. Open .drawio file in text editor (plain XML format)
  2. Find mxCell for element to adjust (search by value attribute for text)
  3. Adjust coordinates in mxGeometry tag
    • x: Position from left
    • y: Position from top
    • width: Width
    • height: Height
  4. Run conversion and verify

4.2. Coordinate Calculation

  • Element center coordinate = y + (height / 2)
  • To align multiple elements, calculate and match center coordinates

5. Design Principles

5.1. Basic Principles

  • Clarity: Create simple, visually clean diagrams
  • Consistency: Unify colors, fonts, icon sizes, line thickness
  • Accuracy: Do not sacrifice accuracy for simplification

5.2. Element Rules

  • Label all elements
  • Use arrows to indicate direction (prefer 2 unidirectional arrows over bidirectional)
  • Use latest official icons
  • Add legend to explain custom symbols

5.3. Accessibility

  • Ensure sufficient color contrast
  • Use patterns in addition to colors

5.4. Progressive Disclosure

Separate complex systems into staged diagrams:

Diagram TypePurpose
Context DiagramSystem overview from external perspective
System DiagramMain components and relationships
Component DiagramTechnical details and integration points
Deployment DiagramInfrastructure configuration
Data Flow DiagramData flow and transformation
Sequence DiagramTime-series interactions

5.5. Metadata

Include title, description, last updated, author, and version in diagrams.

6. Best Practices

6.1. Background Color

  • Remove background="#ffffff"
  • Transparent background adapts to various themes

6.2. Font Size

  • Use 1.5x standard font size (around 18px) for PDF readability

6.3. Japanese Text Width

  • Allow 30-40px per character
  • Insufficient width causes unintended line breaks
xml
<!-- For 10-character text, allow 300-400px -->
<mxGeometry x="140" y="60" width="400" height="40" />

6.4. Arrow Placement

  • Always place arrows at back (position in XML right after Title)
  • Position arrows to avoid overlapping with labels
  • Keep arrow start/end at least 20px from label bottom edge
xml
<!-- Title -->
<mxCell id="title" value="..." .../>

<!-- Arrows (back layer) -->
<mxCell id="arrow1" style="edgeStyle=..." .../>

<!-- Other elements (front layer) -->
<mxCell id="box1" .../>

6.5. Arrow Connection to Text Labels

For text elements, exitX/exitY don't work, so use explicit coordinates:

xml
<!-- Good: Explicit coordinates with sourcePoint/targetPoint -->
<mxCell id="arrow" style="..." edge="1" parent="1">
  <mxGeometry relative="1" as="geometry">
    <mxPoint x="1279" y="500" as="sourcePoint"/>
    <mxPoint x="119" y="500" as="targetPoint"/>
    <Array as="points">
      <mxPoint x="1279" y="560"/>
      <mxPoint x="119" y="560"/>
    </Array>
  </mxGeometry>
</mxCell>

6.6. edgeLabel Offset Adjustment

Adjust offset attribute to distance arrow labels from arrows:

xml
<!-- Place above arrow (negative value to distance) -->
<mxPoint x="0" y="-40" as="offset"/>

<!-- Place below arrow (positive value to distance) -->
<mxPoint x="0" y="40" as="offset"/>

6.7. Remove Unnecessary Elements

  • Remove decorative icons irrelevant to context
  • Example: If ECR exists, separate Docker icon is unnecessary

6.8. Labels and Headings

  • Service name only: 1 line
  • Service name + supplementary info: 2 lines with line break
  • Redundant notation (e.g., ECR Container Registry): shorten to 1 line
  • Use &lt;br&gt; tag for line breaks

6.9. Background Frame and Internal Element Placement

When placing elements inside background frames (grouping boxes), ensure sufficient margin.

  • YOU MUST: Internal elements must have at least 30px margin from frame boundary
  • YOU MUST: Account for rounded corners (rounded=1) and stroke width
  • YOU MUST: Always visually verify PNG output for overflow

Coordinate calculation verification:

text
Background frame: y=20, height=400 -> range is y=20-420
Internal element top: frame y + 30 or more (e.g., y=50)
Internal element bottom: frame y + height - 30 or less (e.g., up to y=390)

Bad example (may overflow):

xml
<!-- Background frame -->
<mxCell id="bg" style="rounded=1;strokeWidth=3;...">
  <mxGeometry x="500" y="20" width="560" height="400" />
</mxCell>
<!-- Text: y=30 is too close to frame top (y=20) -->
<mxCell id="label" value="Title" style="text;...">
  <mxGeometry x="510" y="30" width="540" height="35" />
</mxCell>

Good example (sufficient margin):

xml
<!-- Background frame -->
<mxCell id="bg" style="rounded=1;strokeWidth=3;...">
  <mxGeometry x="500" y="20" width="560" height="430" />
</mxCell>
<!-- Text: y=50 is 30px from frame top (y=20) -->
<mxCell id="label" value="Title" style="text;...">
  <mxGeometry x="510" y="50" width="540" height="35" />
</mxCell>

7. Reference

AWS icon search examples:

sh
python ~/.claude/skills/draw-io/scripts/find_aws_icon.py ec2
python ~/.claude/skills/draw-io/scripts/find_aws_icon.py lambda

8. Checklist

  • No background color set (page="0")
  • Font size appropriate (larger recommended)
  • Arrows placed at back layer
  • Arrows not overlapping labels (verify in PNG)
  • Arrow start/end sufficiently distant from labels (at least 20px)
  • Arrows not penetrating boxes or icons (verify in PNG)
  • Internal elements not overflowing background frame (verify in PNG)
  • 30px+ margin between background frame and internal elements
  • AWS service names are official names/correct abbreviations
  • AWS icons are latest version (mxgraph.aws4.*)
  • No unnecessary elements remaining
  • Visually verified PNG conversion

9. Image Display in reveal.js Slides

Add auto-stretch: false to YAML header:

yaml
---
title: "Your Presentation"
format:
  revealjs:
    auto-stretch: false
---

This ensures correct image display on mobile devices.

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 Draw Io AI skill do?

draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.

Why use Draw Io on TypingMind?

Because you install it once and use it with any model. Draw Io 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 Draw Io in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softaworks/agent-toolkit/tree/main/skills/draw-io. 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 Draw Io?

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 Draw Io?

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

Is the Draw Io AI skill free?

Yes. It is published on GitHub by softaworks 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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