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Beautiful Mermaid

Community
intellectronica
beautiful-mermaid

Render Mermaid diagrams as SVG and PNG using the Beautiful Mermaid library. Use when the user asks to render a Mermaid diagram.

Overview

Publisherintellectronica
Repositoryagent-skills
Skill namebeautiful-mermaid
Stars
299
Forks
27
Bundled files
1
LicenseCC0-1.0
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Beautiful Mermaid 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/intellectronica/agent-skills/tree/main/plugins/beautiful-mermaid/skills
  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/intellectronica/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/plugins/beautiful-mermaid/skills .claude/skills/beautiful-mermaid
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Beautiful Mermaid 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 Beautiful Mermaid 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 Beautiful Mermaid 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.

Beautiful Mermaid Diagram Rendering

Render Mermaid diagrams as SVG and PNG images using the Beautiful Mermaid library.

Dependencies

This skill requires the agent-browser skill for PNG rendering. Load it before proceeding with PNG capture.

Supported Diagram Types

  • Flowchart - Process flows, decision trees, CI/CD pipelines
  • Sequence - API calls, OAuth flows, database transactions
  • State - State machines, connection lifecycles
  • Class - UML class diagrams, design patterns
  • Entity-Relationship - Database schemas, data models

Available Themes

Default, Dracula, Solarized, Zinc Dark, Tokyo Night, Tokyo Night Storm, Tokyo Night Light, Catppuccin Latte, Nord, Nord Light, GitHub Dark, GitHub Light, One Dark.

If no theme is specified, use default.

Common Syntax Patterns

Flowchart Edge Labels

Use pipe syntax for edge labels:

Avoid space-dash syntax which can cause incomplete renders:

Node Labels with Special Characters

Wrap labels containing special characters in quotes:

Workflow

Step 1: Generate or Validate Mermaid Code

If the user provides a description rather than code, generate valid Mermaid syntax. Consult references/mermaid-syntax.md for full syntax details.

Step 2: Render SVG

Run the rendering script to produce an SVG file:

bash
bun run scripts/render.ts --code "graph TD; A-->B" --output diagram --theme default

Or from a file:

bash
bun run scripts/render.ts --input diagram.mmd --output diagram --theme tokyo-night

Alternative runtimes:

bash
npx tsx scripts/render.ts --code "..." --output diagram
deno run --allow-read --allow-write --allow-net scripts/render.ts --code "..." --output diagram

This produces <output>.svg in the current working directory.

Step 3: Create HTML Wrapper

Run the HTML wrapper script to prepare for screenshot:

bash
bun run scripts/create-html.ts --svg diagram.svg --output diagram.html

This creates a minimal HTML file that displays the SVG with proper padding and background.

Step 4: Capture High-Resolution PNG with agent-browser

Use the agent-browser CLI to capture a high-quality screenshot. Refer to the agent-browser skill for full CLI documentation.

bash
# Set 4K viewport for high-resolution capture
agent-browser set viewport 3840 2160

# Open the HTML wrapper
agent-browser open "file://$(pwd)/diagram.html"

# Wait for render to complete
agent-browser wait 1000

# Capture full-page screenshot
agent-browser screenshot --full diagram.png

# Close browser
agent-browser close

For even higher resolution on complex diagrams, increase the viewport further or use the --padding option when creating the HTML wrapper to give the diagram more space.

Step 5: Clean Up Intermediary Files

After rendering, remove all intermediary files. Only the final .svg and .png should remain.

Files to clean up:

  • The HTML wrapper file (e.g., diagram.html)
  • Any temporary .mmd files created to hold diagram code
  • Any other files created during the rendering process
bash
rm diagram.html

If a temporary .mmd file was created, remove it as well.

Output

Both outputs are always produced:

  • SVG: Vector format, infinitely scalable, small file size
  • PNG: High-resolution raster, captured at 4K (3840×2160) viewport with minimum 1200px diagram width

Files are saved to the current working directory unless the user explicitly specifies a different path.

Theme Selection Guide

ThemeBackgroundBest For
defaultLight greyGeneral use
draculaDark purpleDark mode preference
tokyo-nightDark blueModern dark aesthetic
tokyo-night-stormDarker blueHigher contrast
nordDark arcticMuted, calm visuals
nord-lightLight arcticLight mode with soft tones
github-darkGitHub darkMatches GitHub UI
github-lightGitHub lightMatches GitHub UI
catppuccin-latteWarm lightSoft pastel aesthetic
solarizedTan/creamSolarized colour scheme
one-darkAtom darkAtom editor aesthetic
zinc-darkNeutral darkMinimal, no colour bias

Troubleshooting

Theme not applied

Check the render script output for the bg and fg values, or inspect the SVG's opening tag for --bg and --fg CSS custom properties.

Diagram appears cut off or incomplete

  • Check edge label syntax — use -->|label| pipe notation, not -- label -->
  • Verify all node IDs are unique
  • Check for unclosed brackets in node labels

Render produces empty or malformed SVG

  • Validate Mermaid syntax at https://mermaid.live before rendering
  • Check for special characters that need escaping (wrap in quotes)
  • Ensure flowchart direction is specified (graph TD, graph LR, etc.)

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 Beautiful Mermaid AI skill do?

Render Mermaid diagrams as SVG and PNG using the Beautiful Mermaid library. Use when the user asks to render a Mermaid diagram.

Why use Beautiful Mermaid on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/intellectronica/agent-skills/tree/main/plugins/beautiful-mermaid/skills. 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 Beautiful Mermaid?

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 Beautiful Mermaid?

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

Is the Beautiful Mermaid AI skill free?

Yes. It is published on GitHub by intellectronica under the CC0-1.0 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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