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Global Mermaid

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MikeFishbeinAtherial
global-mermaid

Generate flexible, brand-aligned Mermaid diagrams for social posts, documentation, and general use. Outputs raw mermaid code blocks styled with classDef brand colors, plus an HTML wrapper with a diagonal background texture for social screenshots. Works with any mermaid renderer.

Overview

PublisherMikeFishbeinAtherial
Repositoryinfinite-headcount
Skill nameglobal-mermaid
Stars
50
Forks
5
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 MikeFishbeinAtherial on GitHub. Read the source before you install it.

Installation

Install the Global 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/MikeFishbeinAtherial/infinite-headcount/tree/main/global-mermaid
  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/MikeFishbeinAtherial/infinite-headcount.git /tmp/infinite-headcount
mkdir -p .claude/skills
cp -r /tmp/infinite-headcount/global-mermaid .claude/skills/global-mermaid
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Global 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 Global 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 Global 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.

Global Mermaid Chart Generator

Generate a Mermaid architecture diagram that is flexible, stylized, and ready to be used in social media posts, documentation, or generic markdown files.

Output Format

Always output the result as a raw markdown ````mermaid` code block directly in the chat, AND an HTML snippet wrapping the mermaid block that applies the Atherial diagonal background texture behind the chart. This allows the user to easily screenshot the rendered preview in Cursor for use on social media.

Do not use an %%{init: ...}%% block. We rely on the classDef definitions to style the nodes, which ensures compatibility with various renderers while maintaining the brand aesthetic.

Step 1 — Gather Context

Before generating the diagram, ask the user:

  1. What is the system or process? (What triggers it? What are the main steps? What is the output?)
  2. What is the context? (Is this for a social post? A technical doc? This determines how simplified the labels should be.)

Step 2 — Apply Node Color Classes (Atherial Brand)

Customize: these are the author's brand colors (accent green #85ff0a, dark #00140a/#1f1f1f, off-white #faffeb/#fefffa). Replace these hex values — here and in the background texture below — with your own palette.

Every chart must end with these classDef declarations and class assignments.

RoleColorUse on
inputStyleAccent green (#85ff0a)The human, the trigger, the starting point
outputStyleDark (#1f1f1f)The final output, the external delivery system
coreStyleOff-white (#faffeb)The agent brain, the core processing node

Step 3 — Background Texture (For Social Screenshots)

To make the diagram ready for social media screenshots, wrap the markdown code block in an HTML div that applies the Atherial diagonal stripe background texture and padding.

Output exactly this format to the user:

Diagram Quality Rules

  • Keep labels short: 2-5 words per line, max 2 lines. Use <br/> for line breaks, never \n.
  • Name integrations specifically: "Instantly", "Supabase" instead of "Email Tool", "Database".
  • Avoid edge labels: -->|text| can render poorly on some platforms. Let the nodes and flow direction speak for themselves.
  • LR for loops, TB for pipelines: LR reads naturally when there is back-and-forth. TB reads naturally when data flows in one direction.
  • Simplify for Social: If the user specifies this is for social media, reduce the number of subgraphs and focus on the highest-impact nodes. Do not overwhelm the viewer.

Frequently asked questions

What does the Global Mermaid AI skill do?

Generate flexible, brand-aligned Mermaid diagrams for social posts, documentation, and general use. Outputs raw mermaid code blocks styled with classDef brand colors, plus an HTML wrapper with a diagonal background texture for social screenshots. Works with any mermaid renderer.

Why use Global Mermaid on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MikeFishbeinAtherial/infinite-headcount/tree/main/global-mermaid. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Global 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 Global Mermaid?

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

Is the Global Mermaid AI skill free?

Yes. It is published on GitHub by MikeFishbeinAtherial 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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