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Class Diagram

Community
athola
class-diagram

Generates a Mermaid class diagram showing types, inheritance, and composition. Use when visualizing class hierarchies or documenting a module public API.

Overview

Publisherathola
Repositoryclaude-night-market
Skill nameclass-diagram
Stars
343
Forks
37
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Class Diagram 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.
    https://github.com/athola/claude-night-market/tree/master/plugins/cartograph/skills/class-diagram
  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/athola/claude-night-market.git /tmp/claude-night-market
mkdir -p .claude/skills
cp -r /tmp/claude-night-market/plugins/cartograph/skills/class-diagram .claude/skills/class-diagram
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Class Diagram 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 Class Diagram 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 Class Diagram 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.

Class Diagram

Generate a Mermaid class diagram showing types, their relationships, and public interfaces from a codebase.

When To Use

  • Understanding class hierarchies and inheritance
  • Documenting public APIs of a module
  • Analyzing composition vs. inheritance patterns
  • Answering "what types exist and how do they relate?"

When NOT To Use

  • Module-level imports (use cartograph:dependency-graph)
  • Runtime data movement (use cartograph:data-flow)

Workflow

Step 1: Explore the Codebase

Dispatch the codebase explorer agent:

Agent(cartograph:codebase-explorer)
Prompt: Explore [scope] and return a structural model.
Focus on classes, dataclasses, protocols, type aliases,
inheritance, and composition for a class diagram.
Extract: class names, methods (public only), attributes,
parent classes, and composed types.

Step 2: Generate Mermaid Syntax

Transform the structural model into a Mermaid class diagram.

Rules for class diagrams:

  • Use classDiagram diagram type
  • Show only public methods and key attributes
  • Use Mermaid relationship notation:
    • <|-- for inheritance
    • *-- for composition
    • o-- for aggregation
    • ..> for dependency/usage
  • Add stereotypes for special types:
    • <<protocol>> for Python protocols/interfaces
    • <<dataclass>> for dataclasses
    • <<enum>> for enums
    • <<abstract>> for abstract classes
  • Limit to 12-15 classes maximum
  • Group related classes with namespace
  • Omit private methods and dunder methods
  • Show return types for methods

Example output:

Step 3: Render via MCP

Call the Mermaid Chart MCP to render:

mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram
  prompt: "Class diagram of [scope]"
  mermaidCode: [generated syntax]
  diagramType: "classDiagram"
  clientName: "claude-code"

If rendering fails, fix syntax and retry (max 2 retries).

Step 4: Present Results

Show the rendered diagram with analysis notes:

  • Total classes and relationship count
  • Key inheritance hierarchies identified
  • Composition patterns noted

Exit Criteria

  • Mermaid classDiagram syntax generated with at least one class definition including public methods or attributes
  • mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram called with diagramType: "classDiagram" and returns without error
  • Analysis notes include total class count, identified inheritance hierarchies, and composition patterns
  • Private methods and dunder methods (__init__, __repr__, etc.) are absent from the generated diagram
  • Diagram contains at most 15 classes; if more exist in scope, aggregation is applied and noted

Frequently asked questions

What does the Class Diagram AI skill do?

Generates a Mermaid class diagram showing types, inheritance, and composition. Use when visualizing class hierarchies or documenting a module public API.

Why use Class Diagram on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/athola/claude-night-market/tree/master/plugins/cartograph/skills/class-diagram. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Class Diagram?

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 Class Diagram?

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

Is the Class Diagram AI skill free?

Yes. It is published on GitHub by athola 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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