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Architecture Diagram Creator

Community
mhattingpete
architecture-diagram-creator

Create comprehensive HTML architecture diagrams showing data flows, business objectives, features, technical architecture, and deployment. Use when users request system architecture, project documentation, high-level overviews, or technical specifications.

Overview

Publishermhattingpete
Repositoryclaude-skills-marketplace
Skill namearchitecture-diagram-creator
Stars
675
Forks
96
Bundled files
3
LicenseApache-2.0
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Architecture Diagram Creator 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/mhattingpete/claude-skills-marketplace.git /tmp/claude-skills-marketplace
mkdir -p .claude/skills
cp -r /tmp/claude-skills-marketplace/visual-documentation-plugin/skills/architecture-diagram-creator .claude/skills/architecture-diagram-creator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Architecture Diagram Creator 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 Architecture Diagram Creator 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 Architecture Diagram Creator 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.

Architecture Diagram Creator

Create comprehensive HTML architecture diagrams with data flows, business context, and system architecture.

When to Use

  • "Create architecture diagram for [project]"
  • "Generate high-level overview"
  • "Document system architecture"
  • "Show data flow and processing pipeline"

Components to Include

  1. Business Context: objectives, users, value, metrics
  2. Data Flow: sources → processing → outputs with SVG diagram
  3. Processing Pipeline: multi-stage visualization
  4. System Architecture: layered components (data/processing/services/output)
  5. Features: functional and non-functional requirements
  6. Deployment: model, prerequisites, workflows

HTML Structure

html
<!DOCTYPE html>
<html>
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>[Project] Architecture</title>
  <style>
    body { font-family: system-ui; max-width: 1200px; margin: 0 auto; padding: 20px; }
    h1 { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 30px; }
    .section { margin: 30px 0; }
    svg { max-width: 100%; }
    /* Use semantic colors: #4299e1 (data), #ed8936 (processing), #9f7aea (AI), #48bb78 (success) */
  </style>
</head>
<body>
  <h1>[Project Name] - Architecture Overview</h1>

  <!-- Business Context Section -->
  <!-- Data Flow Diagram (SVG) -->
  <!-- Processing Pipeline (SVG) -->
  <!-- System Architecture Layers -->
  <!-- Features Grid -->
  <!-- Deployment Info -->
</body>
</html>

SVG Pattern for Data Flow

html
<svg viewBox="0 0 800 400">
  <!-- Data sources (left, blue) -->
  <rect x="50" y="150" width="120" height="80" fill="#4299e1"/>

  <!-- Processing (center, orange) -->
  <rect x="340" y="150" width="120" height="80" fill="#ed8936"/>

  <!-- Outputs (right, green) -->
  <rect x="630" y="150" width="120" height="80" fill="#48bb78"/>

  <!-- Arrows connecting -->
  <path d="M170,190 L340,190" stroke="#666" stroke-width="2" marker-end="url(#arrow)"/>
</svg>

Workflow

  1. Analyze project (README, code structure)
  2. Extract: purpose, data sources, processing, tech stack, outputs
  3. Create HTML with all 6 sections
  4. Use semantic colors for visual hierarchy
  5. Write to [project]-architecture.html

Keep diagrams clear, use consistent styling, include real project details.

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 Architecture Diagram Creator AI skill do?

Create comprehensive HTML architecture diagrams showing data flows, business objectives, features, technical architecture, and deployment. Use when users request system architecture, project documentation, high-level overviews, or technical specifications.

Why use Architecture Diagram Creator on TypingMind?

Because you install it once and use it with any model. Architecture Diagram Creator 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 Architecture Diagram Creator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mhattingpete/claude-skills-marketplace/tree/main/visual-documentation-plugin/skills/architecture-diagram-creator. 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 Architecture Diagram Creator?

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 Architecture Diagram Creator?

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

Is the Architecture Diagram Creator AI skill free?

Yes. It is published on GitHub by mhattingpete under the Apache-2.0 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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