Mermaid Jam logo

Mermaid Jam

Organization
memi-design
mermaid-jam

Route Mermaid and markdown diagram source into the Mermaid Jam FigJam plugin for editable native FigJam output

Overview

Publishermemi-design
Repositorydesign-skills
Skill namemermaid-jam
Stars
7
Forks
0
Bundled files
1
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.

  • 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 memi-design on GitHub. Read the source before you install it.

Installation

Install the Mermaid Jam 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/memi-design/design-skills/tree/main/skills/mermaid-jam
  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/memi-design/design-skills.git /tmp/design-skills
mkdir -p .claude/skills
cp -r /tmp/design-skills/skills/mermaid-jam .claude/skills/mermaid-jam
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mermaid Jam 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 Jam 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 Jam 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 Jam

Use this Note when a user asks to turn Mermaid markdown, fenced Mermaid blocks, or markdown user-flow notes into a FigJam diagram.

Use the research-vibe-design path when the source should come from Memoire research or Scenario Lab instead of hand-authored Mermaid. It generates Atomic Design specs, evidence maps, journey maps, IA flows, and optional simulation timelines before handing source to Mermaid Jam.

Native Route

  1. Run memi mermaid-jam status --json.
  2. If integration.local.ready is true, use the reported integration.local.manifestPath for local development import.
  3. If no local checkout is ready, use integration.communityUrl and open the Figma Community install page.
  4. Open the plugin from a FigJam board, not a Figma design file, then paste the Mermaid or markdown source into Mermaid Jam.

For Mémoire Studio on macOS, prefer the native corpus path before falling back to manual plugin paste:

bash
memi mermaid-jam corpus sync --setup --json
memi mermaid-jam analyze ./docs/flow.md --json

Studio stores the reviewed markdown-only corpus in .memoire/markdown-corpus and can sync analyzed candidates through the connected FigJam bridge as editable FigJam nodes. The corpus downloader only stores .md, .mdx, .markdown, and .mdoc files from the allowlisted repos.

The manifest may be importable from Figma and FigJam, but generation is FigJam-native because the renderer creates FigJam sections, shape cards, and dynamic connectors.

Supported Inputs

  • Mermaid flowchart / graph
  • Mermaid journey
  • Mermaid sequenceDiagram
  • Mermaid stateDiagram / stateDiagram-v2
  • Mermaid mindmap
  • Mermaid timeline
  • Markdown headings and bullets describing a user flow
  • Markdown tables, frontmatter titles, links, and section hierarchy as scoring context for process, journey, timeline, API, architecture, and checklist flows

Local Development

When developing the plugin alongside Memoire, set:

bash
export MEMOIRE_MERMAID_JAM_ROOT=/path/to/unicornjam

Then run:

bash
memi mermaid-jam status --json

If the status is needs-build, run npm install && npm run build inside the Mermaid Jam checkout before importing plugin/manifest.json.

Research Vibe Design

bash
memi research synthesize
memi research design --intent "Design a research-backed product decision workspace" --write-specs --mermaid-jam --json
memi mermaid-jam export --from research --json

If Scenario Lab has a completed simulation, use the run id:

bash
memi research design --run-id <simulation-run-id> --mermaid-jam --open --json
memi mermaid-jam export --from <simulation-run-id> --open --json

Stay on the source + open path: write nonempty .mmd or .md files under .memoire/mermaid-jam/, open Mermaid Jam through the local manifest or Community URL, then let the user paste source into the FigJam plugin.

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 Mermaid Jam AI skill do?

Route Mermaid and markdown diagram source into the Mermaid Jam FigJam plugin for editable native FigJam output

Why use Mermaid Jam on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/memi-design/design-skills/tree/main/skills/mermaid-jam. 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 Mermaid Jam?

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 Jam?

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

Is the Mermaid Jam AI skill free?

Yes. It is published on GitHub by memi-design 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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