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markdown-mermaid-writing

k-dense-ai/scientific-agent-skills

Write scientific docs and diagrams in markdown + Mermaid—text-based, git-friendly, token-efficient.

What is markdown-mermaid-writing?

A comprehensive skill for creating scientific documentation, reports, and visualizations using markdown with embedded Mermaid diagrams as the canonical format. Use this when producing any document, diagram, or analysis that will be version-controlled or shared—Mermaid diagrams are preferred over images because they're text-based, diff cleanly in git, render natively on GitHub/GitLab/Notion, and use fewer tokens than prose descriptions.

  • Provides 24 Mermaid diagram type references (flowchart, sequence, ER, state, Gantt, pie, C4, mindmap, timeline, class, user journey, quadrant, requirement, Sankey, XY chart, block, Kanban, architecture, radar, treemap, packet, Git graph, ZenUML, and complex examples)
  • Includes 9 document templates (pull request, issue, sprint board, architecture decision record, presentation, research paper, project documentation, how-to guide, and status report)
  • Enforces markdown style guide with rules for headings, emoji usage, citations, and consistent formatting
  • Establishes three-phase workflow: Phase 1 (Mermaid in markdown as source of truth), Phase 2 (optional Python-generated charts), Phase 3 (optional AI-generated visuals)
  • Teaches when to use text-based diagrams vs. Python/image generation based on use case

How to install markdown-mermaid-writing

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill markdown-mermaid-writing
Claude Code
Cursor
Windsurf
Cline

How to use markdown-mermaid-writing

  1. 1.Identify the document type you're creating and check if a template exists in `templates/` (pull request, issue, sprint board, ADR, presentation, research paper, project documentation, how-to guide, or status report)
  2. 2.Read `references/markdown_style_guide.md` to internalize key formatting rules (one H1 per document, emoji on H2 headings only, cite everything)
  3. 3.Select the appropriate Mermaid diagram type from the 24 available references in `references/diagrams/` based on your use case (e.g., flowchart for workflows, sequence for API interactions, ER for data models)
  4. 4.Write your markdown document using the template structure, embedding Mermaid diagrams as text blocks rather than images
  5. 5.Commit the markdown file to version control; convert to images or polish visuals only if needed as Phase 2 or Phase 3 downstream work

Use cases

Good for
  • Creating scientific reports, analyses, or manuscripts with embedded workflow and architecture diagrams
  • Writing technical documentation (READMEs, decision records, how-tos) that needs to be version-controlled in git
  • Visualizing data models, system architectures, project timelines, or experimental workflows without requiring a build step or image hosting
  • Generating diagrams that remain editable and diff-readable in version control while staying token-efficient for AI processing
  • Building project documentation with consistent templates and style across multiple document types
Who it's for
  • Scientific researchers and technical writers producing reports and analyses
  • Software engineers and architects documenting systems, APIs, and decision records
  • Project managers creating timelines, roadmaps, and status reports
  • AI agents and coding assistants generating documentation as part of larger workflows
  • Teams using git-based workflows who need documentation that diffs cleanly and renders natively on GitHub/GitLab

markdown-mermaid-writing FAQ

When should I use Mermaid diagrams instead of Python/matplotlib or AI-generated images?

Always start with Mermaid (Phase 1) for structural, relational, or workflow diagrams. Only move to Python (Phase 2) for data charts with real numeric data, or AI images (Phase 3) for polished/photorealistic output. Mermaid is the source of truth because it's text-based, diffs cleanly in git, renders natively, and uses fewer tokens.

Do I need to convert Mermaid diagrams to images for final deliverables?

No. Mermaid diagrams render natively on GitHub, GitLab, Notion, VS Code, and most markdown viewers. Images are optional Phase 3 polish only. Keep the Mermaid source committed so it remains editable and version-controlled.

What if my diagram doesn't fit any of the 24 Mermaid types?

Mermaid covers almost every scientific relationship. Check the 24 diagram type reference table carefully—pick the right type, not the easy one. For example, use Timeline for chronological events instead of Flowchart, or Sequence for service interactions. If truly unsure, consult the complex examples reference.

Can I use this skill alongside other documentation skills?

Yes. This skill defines the documentation layer that wraps every other output. Use it whenever any other skill produces a document, diagram, or analysis that will be version-controlled or shared.

What are the key markdown style rules I need to follow?

One H1 per document (the title), emoji on H2 headings only (none in H3/H4), and cite everything. Full rules are in `references/markdown_style_guide.md`.

Full instructions (SKILL.md)

Source of truth, from k-dense-ai/scientific-agent-skills.


name: markdown-mermaid-writing description: 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. allowed-tools: Read Write Edit Bash license: Apache-2.0 metadata: version: "1.1" skill-author: Clayton Young / Superior Byte Works, LLC (@borealBytes) skill-source: https://github.com/SuperiorByteWorks-LLC/agent-project skill-version: 1.0.0 skill-contributors: Clayton Young (Superior Byte Works, LLC / @borealBytes; Author and originator); K-Dense Team (K-Dense Inc.; Integration target and community feedback)

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

flowchart LR
    accTitle: Three-Phase Documentation Workflow
    accDescr: Phase 1 Mermaid in markdown is always required and is the source of truth. Phases 2 and 3 are optional downstream conversions for polished output.

    p1["📄 Phase 1<br/>Mermaid in Markdown<br/>(ALWAYS — source of truth)"]
    p2["🐍 Phase 2<br/>Python Generated<br/>(optional — data charts)"]
    p3["🎨 Phase 3<br/>AI Generated Visuals<br/>(optional — polish)"]
    out["📊 Final Deliverable"]

    p1 --> out
    p1 -.->|"when needed"| p2
    p1 -.->|"when needed"| p3
    p2 --> out
    p3 --> out

    classDef required fill:#dbeafe,stroke:#2563eb,stroke-width:2px,color:#1e3a5f
    classDef optional fill:#fef9c3,stroke:#ca8a04,stroke-width:2px,color:#713f12
    classDef output fill:#dcfce7,stroke:#16a34a,stroke-width:2px,color:#14532d

    class p1 required
    class p2,p3 optional
    class out output

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:

radar
title Example
x-axis ["A", "B", "C"]
"Series" : [1, 2, 3]

CORRECT:

radar-beta
title Example
axis a["A"], b["B"], c["C"]
curve series["Series"]{1, 2, 3}
max 3
  • 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.

radar-beta
...

🔗 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 scientific-agent-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.