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Mermaid Diagrams

Community
comol
mermaid-diagrams

Practical guide for creating human-readable and agent-parseable diagrams using Mermaid. Includes conservative, renderer-compatible templates and when-to-use guidance.

Overview

Publishercomol
Repositoryai_rules_1c
Skill namemermaid-diagrams
Stars
496
Forks
112
Bundled files
Instructions only
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 comol on GitHub. Read the source before you install it.

Installation

Install the Mermaid Diagrams 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/comol/ai_rules_1c/tree/main/content/skills/mermaid-diagrams
  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/comol/ai_rules_1c.git /tmp/ai_rules_1c
mkdir -p .claude/skills
cp -r /tmp/ai_rules_1c/content/skills/mermaid-diagrams .claude/skills/mermaid-diagrams
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mermaid Diagrams 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 Mermaid Diagrams 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 Mermaid Diagrams 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.

Mermaid Diagrams Skill

Compatibility Rules (Read First)

  • Prefer graph LR/graph TB for flowcharts; some renderers fail on flowchart keyword.
  • Quote labels containing spaces/special characters: A["Text (x|y) |"].
  • Do not use literal \n inside labels — Mermaid does not interpret such line breaks. Use <br/> for line breaks.
  • Advanced types like quadrantChart, sankey-beta, requirementDiagram, gitGraph may not be available. Use provided flowchart fallbacks.
  • Code fences must start at column 0 with language mermaid.

ASCII/Unicode Sidecar (Human-Readable Raw Markdown)

To optimize for quick human scanning in raw Markdown and robust parsing by agents, always ship an ASCII/Unicode sidecar immediately below each Mermaid block.

Policy:

  • MUST include a monospace, text-only diagram right under the Mermaid block using fenced code with language text.
  • MUST keep Mermaid and sidecar in sync (same nodes/edges, same labels where feasible). If they diverge, treat Mermaid as the source of truth and update the sidecar.
  • SHOULD limit width to ~80 columns for readability in diffs and terminals.
  • SHOULD use simple line art characters (ASCII first; Unicode box-drawing optional when environment supports it).
  • MAY add a one-line caption above the pair: Diagram: <name> (<type>).

Recommended primitives:

  • Boxes: [Name], (Name), +-----+\n| N |\n+-----+
  • Flows: -->, decisions as {cond?} lines, lists with -.
  • Sequence (text-based): Actor -> Actor: message with indented lifelines.

Example (Flowchart):

text
Diagram: Auth flow (flowchart)
  [Start] --> {Auth?}
      {Auth?} -- Yes --> [Dashboard]
      {Auth?} -- No  --> [Login]

Example (Text-based Sequence):

text
Diagram: Happy path (sequence)
  User -> WebApp : Open
  WebApp -> User : OK

Working Templates (Renderer-Compatible)

Flowchart

Sequence

Class

State (v2)

ER (Entity-Relationship)

Journey (User Journey)

Gantt

Pie (compatible syntax)

Quadrant — flowchart fallback

Requirement — flowchart fallback

Sankey — flowchart fallback (weights on edges)

Git graph — flowchart fallback (simple DAG)

When to Use Which Diagram

  • Flowchart: General flows, decisions, and data movement in specs and PRDs.
  • Sequence: Interactions over time between actors/services (APIs, requests, responses).
  • Class: Domain models and static structure; useful for entity attributes and relations.
  • State: Lifecycle of an entity/component (idle -> loading -> ready/error, nested states).
  • ER: Database/logical data model with cardinalities.
  • Journey: User experience across steps/sections (great for PRD acceptance flows).
  • Gantt: Scheduling, releases, and dependencies by dates.
  • Pie: Simple composition/ratios; prefer tables when precision matters.
  • Quadrant (fallback): Prioritization matrix (Impact/Effort) without experimental chart support.
  • Requirement (fallback): Traceability between requirements, tests, and system elements.
  • Sankey (fallback): Convey relative volumes along a path when sankey is unavailable.
  • Git graph (fallback): Small branch/merge DAGs when gitGraph is unavailable.

Troubleshooting

  • If a diagram fails to render, try:
    1. Replace flowchart with graph and simplify shapes.
    2. Quote node texts.
    3. Test in https://mermaid.live to isolate environment issues.
    4. Fall back to the templates above for maximum compatibility.

Frequently asked questions

What does the Mermaid Diagrams AI skill do?

Practical guide for creating human-readable and agent-parseable diagrams using Mermaid. Includes conservative, renderer-compatible templates and when-to-use guidance.

Why use Mermaid Diagrams on TypingMind?

Because you install it once and use it with any model. Mermaid Diagrams 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 Mermaid Diagrams in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/comol/ai_rules_1c/tree/main/content/skills/mermaid-diagrams. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mermaid Diagrams?

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 Mermaid Diagrams?

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

Is the Mermaid Diagrams AI skill free?

It is published on GitHub by comol. Check the repository for licensing terms. 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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