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Markdown Mermaid Writing

Community
LeonChaoX
markdown-mermaid-writing

Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown + mermaid), 24 diagram type references, and 9 document templates.

Overview

PublisherLeonChaoX
Repositoryqinyan-academic-skills
Skill namemarkdown-mermaid-writing
Stars
944
Forks
83
Bundled files
36
LicenseApache-2.0
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.

  • 36 bundled files

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

  • Open source

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

Installation

Install the Markdown Mermaid Writing 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/LeonChaoX/qinyan-academic-skills/tree/main/skills/03-学术演示与可视化/markdown-mermaid-writing
  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.

Use it in TypingMind

Enable Markdown Mermaid Writing 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 Markdown Mermaid Writing 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 Markdown Mermaid Writing 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.

Markdown and Mermaid Writing

Overview

This skill teaches you — and enforces a standard for — creating scientific documentation using markdown with embedded Mermaid diagrams as the default and canonical format.

The core bet: a relationship expressed as a Mermaid diagram inside a .md file is more valuable than any image. It is text, so it diffs cleanly in git. It requires no build step. It renders natively on GitHub, GitLab, Notion, VS Code, and any markdown viewer. It uses fewer tokens than a prose description of the same relationship. And it can always be converted to a polished image later — but the text version remains the source of truth.

"The more you get your reports and files in .md in just regular text, which mermaid is as well as being a simple 'script language'. This just helps with any downstream rendering and especially AI generated images (using mermaid instead of just long form text to describe relationships < tokens). Additionally mermaid can render along with markdown for easy use almost anywhere by humans or AI."

— Clayton Young (@borealBytes), K-Dense Discord, 2026-02-19

When to Use This Skill

Use this skill when:

  • Creating any scientific document — reports, analyses, manuscripts, methods sections
  • Writing any documentation — READMEs, how-tos, decision records, project docs
  • Producing any diagram — workflows, data pipelines, architectures, timelines, relationships
  • Generating any output that will be version-controlled — if it's going into git, it should be markdown
  • Working with any other skill — this skill defines the documentation layer that wraps every other output
  • Someone asks you to "add a diagram" or "visualize the relationship" — Mermaid first, always

Do NOT start with Python matplotlib, seaborn, or AI image generation for structural or relational diagrams. Those are Phase 2 and Phase 3 — only used when Mermaid cannot express what's needed (e.g., scatter plots with real data, photorealistic images).

🎨 The Source Format Philosophy

Why text-based diagrams win

What mattersMermaid in MarkdownPython / AI Image
Git diff readable✅❌ binary blob
Editable without regenerating✅❌
Token efficient vs. prose✅ smaller❌ larger
Renders without a build step✅❌ needs hosting
Parseable by AI without vision✅❌
Works in GitHub / GitLab / Notion✅⚠️ if hosted
Accessible (screen readers)✅ accTitle/accDescr⚠️ needs alt text
Convertible to image later✅ anytime— already image

The three-phase workflow

Phase 1 is mandatory. Even if you proceed to Phase 2 or 3, the Mermaid source stays committed.

What Mermaid can express

Mermaid covers 24 diagram types. Almost every scientific relationship fits one:

Use caseDiagram typeFile
Experimental workflow / decision logicFlowchartreferences/diagrams/flowchart.md
Service interactions / API calls / messagingSequencereferences/diagrams/sequence.md
Data model / schemaER diagramreferences/diagrams/er.md
State machine / lifecycleStatereferences/diagrams/state.md
Project timeline / roadmapGanttreferences/diagrams/gantt.md
Proportions / compositionPiereferences/diagrams/pie.md
System architecture (zoom levels)C4references/diagrams/c4.md
Concept hierarchy / brainstormMindmapreferences/diagrams/mindmap.md
Chronological events / historyTimelinereferences/diagrams/timeline.md
Class hierarchy / type relationshipsClassreferences/diagrams/class.md
User journey / satisfaction mapUser Journeyreferences/diagrams/user_journey.md
Two-axis comparison / prioritizationQuadrantreferences/diagrams/quadrant.md
Requirements traceabilityRequirementreferences/diagrams/requirement.md
Flow magnitude / resource distributionSankeyreferences/diagrams/sankey.md
Numeric trends / bar + line chartsXY Chartreferences/diagrams/xy_chart.md
Component layout / spatial arrangementBlockreferences/diagrams/block.md
Work item status / task columnsKanbanreferences/diagrams/kanban.md
Cloud infrastructure / service topologyArchitecturereferences/diagrams/architecture.md
Multi-dimensional comparison / skills radarRadarreferences/diagrams/radar.md
Hierarchical proportions / budgetTreemapreferences/diagrams/treemap.md
Binary protocol / data formatPacketreferences/diagrams/packet.md
Git branching / merge strategyGit Graphreferences/diagrams/git_graph.md
Code-style sequence (programming syntax)ZenUMLreferences/diagrams/zenuml.md
Multi-diagram composition patternsComplex Examplesreferences/diagrams/complex_examples.md

💡 Pick the right type, not the easy one. Don't default to flowcharts for everything. A timeline beats a flowchart for chronological events. A sequence beats a flowchart for service interactions. Scan the table and match.


🔧 Core workflow

Step 1: Identify the document type

Check if a template exists before writing from scratch:

Document typeTemplate
Pull request recordtemplates/pull_request.md
Issue / bug / feature requesttemplates/issue.md
Sprint / project boardtemplates/kanban.md
Architecture decision (ADR)templates/decision_record.md
Presentation / briefingtemplates/presentation.md
Research paper / analysistemplates/research_paper.md
Project documentationtemplates/project_documentation.md
How-to / tutorialtemplates/how_to_guide.md
Status reporttemplates/status_report.md

Step 2: Read the style guide

Before writing any .md file: read references/markdown_style_guide.md.

Key rules to internalize:

  • One H1 per document — the title. Never more.
  • Emoji on H2 headings only — one emoji per H2, none in H3/H4
  • Cite everything — every external claim gets a footnote [^N] with full URL
  • Bold sparingly — max 2-3 bold terms per paragraph, never full sentences
  • Horizontal rule after every </details> — mandatory
  • Tables over prose for comparisons, configurations, structured data
  • Diagrams over walls of text — if it describes flow, structure, or relationships, add Mermaid

Step 3: Pick the diagram type and read its guide

Before creating any Mermaid diagram: read references/mermaid_style_guide.md.

Then open the specific type file (e.g., references/diagrams/flowchart.md) for the exemplar, tips, and copy-paste template.

Mandatory rules for every diagram:

accTitle: Short Name 3-8 Words
accDescr: One or two sentences explaining what this diagram shows.
  • No %%{init} directives — breaks GitHub dark mode
  • No inline style — use classDef only
  • One emoji per node max — at the start of the label
  • snake_case node IDs — match the label

Step 4: Write the document

Start from the template. Apply the markdown style guide. Place diagrams inline with related text — not in a separate "Figures" section.

Step 5: Commit as text

The .md file with embedded Mermaid is what gets committed. If you also generated a PNG or AI image, those are supplementary — the markdown is the source.


⚠️ Common pitfalls

Radar chart syntax (radar-beta)

WRONG:

CORRECT:

  • Use radar-beta not radar (the bare keyword doesn't exist)
  • Use axis to define dimensions, not x-axis
  • Use curve to define data series, not quoted labels with colon
  • No accTitle/accDescr — radar-beta doesn't support accessibility annotations; always add a descriptive italic paragraph above the diagram

XY Chart vs Radar confusion

DiagramKeywordAxis syntaxData syntax
XY Chart (bars/lines)xychart-betax-axis ["Label1", "Label2"]bar [10, 20] or line [10, 20]
Radar (spider/web)radar-betaaxis id["Label"]curve id["Label"]{10, 20}

Forgetting accTitle/accDescr on supported types

Only some diagram types support accTitle/accDescr. For those that don't, always place a descriptive italic paragraph directly above the code block:

Radar chart comparing three methods across five performance dimensions. Note: Radar charts do not support accTitle/accDescr.


🔗 Integration with other skills

With scientific-schematics

scientific-schematics generates AI-powered publication-quality images (PNG). Use the Mermaid diagram as the brief for the schematic:

Workflow:
1. Create the concept as Mermaid in .md (this skill — Phase 1)
2. Describe the same concept to scientific-schematics for a polished PNG (Phase 3)
3. Commit both — the .md as source, the PNG as a supplementary figure

With scientific-writing

When scientific-writing produces a manuscript, all diagrams and structural figures should use this skill's standards. The writing skill handles prose and citations; this skill handles visual structure.

Workflow:
1. Use scientific-writing to draft the manuscript
2. For every figure that shows a workflow, architecture, or relationship:
   - Replace placeholder with a Mermaid diagram following this skill's guide
3. Use scientific-schematics only for figures that truly need photorealistic/complex rendering

With literature-review

Literature review produces summaries with lots of relationship data. Use this skill to:

  • Create concept maps (Mindmap) of the literature landscape
  • Show publication timelines (Timeline or Gantt)
  • Compare methodologies (Quadrant or Radar)
  • Diagram data flows described in papers (Sequence or Flowchart)

With any skill that produces output documents

Before finalizing any document from any skill, apply this skill's checklist:

  • Does the document use a template? If so, did I start from the right one?
  • Are all diagrams in Mermaid with accTitle + accDescr?
  • No %%{init}, no inline style, only classDef?
  • Are all external claims cited with [^N]?
  • One H1, emoji on H2 only?
  • Horizontal rules after every </details>?

📚 Reference index

Style guides

GuidePathLinesWhat it covers
Markdown Style Guidereferences/markdown_style_guide.md~733Headings, formatting, citations, tables, Mermaid integration, templates, quality checklist
Mermaid Style Guidereferences/mermaid_style_guide.md~458Accessibility, emoji set, color classes, theme neutrality, type selection, complexity tiers

Diagram type guides (24 types)

Each file contains: production-quality exemplar, tips specific to that type, and a copy-paste template.

references/diagrams/ — architecture, block, c4, class, complex_examples, er, flowchart, gantt, git_graph, kanban, mindmap, packet, pie, quadrant, radar, requirement, sankey, sequence, state, timeline, treemap, user_journey, xy_chart, zenuml

Document templates (9 types)

templates/ — decision_record, how_to_guide, issue, kanban, presentation, project_documentation, pull_request, research_paper, status_report

Examples

assets/examples/example-research-report.md — a complete scientific research report demonstrating proper heading hierarchy, multiple diagram types (flowchart, sequence, gantt), tables, footnote citations, collapsible sections, and all style guide rules applied.


📝 Attribution

All style guides, diagram type guides, and document templates in this skill are ported from the SuperiorByteWorks-LLC/agent-project repository under the Apache-2.0 License.

This skill (as part of claude-scientific-skills) is distributed under the MIT License. The included Apache-2.0 content is compatible for downstream use with attribution retained, as preserved in the file headers throughout this skill.


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 Markdown Mermaid Writing AI skill do?

Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown + mermaid), 24 diagram type references, and 9 document templates.

Why use Markdown Mermaid Writing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/03-学术演示与可视化/markdown-mermaid-writing. 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 Markdown Mermaid Writing?

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 Markdown Mermaid Writing?

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

Is the Markdown Mermaid Writing AI skill free?

Yes. It is published on GitHub by LeonChaoX under the Apache-2.0 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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