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markdown-mermaid-writing

Writes scientific Markdown documentation and Mermaid diagrams for workflows, relationships, timelines, and schemas. Provides syntax references, document templates, accessibility guidance, and version-aware rendering checks

Install / Use

npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

100/100

Category

Automation

Supported Platforms

Universal

Our assessment of markdown-mermaid-writing

markdown-mermaid-writing scores 100/100 on our quality scale, 21st of 2,878 Automation skills we index (top 1%).

Its SKILL.md is 14 KB long, well organised into 28 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.

With 46,441 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so markdown-mermaid-writing is actively maintained.
  • Our last check on 2026-10-22 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-26. Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

markdown-mermaid-writing compared with similar skills

markdown-mermaid-writing has the highest quality score among these 4 similar skills, though 4 alternatives have been updated more recently.

SkillScoreStarsUpdatedFormat
markdown-mermaid-writing (this skill)by K-Dense-AI10046.4k48d agoSKILL.md
Agent-Reachby Panniantong100110.3k1d agoCLAUDE.md
Scraplingby D4Vinci10099.8ktodayMCP Server
rufloby ruvnet10081.3ktodayMCP Server
algorithmic-artby anthropics100177.9k47d agoSKILL.md

Frequently asked questions

How do I install markdown-mermaid-writing?
Run npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing. The install tabs above show the steps for each supported agent.
Which AI agents does markdown-mermaid-writing work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is markdown-mermaid-writing safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is markdown-mermaid-writing still maintained?
The repository was last updated about 2 months ago, so markdown-mermaid-writing is actively maintained.

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 matters | Mermaid in Markdown | Python / 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 case | Diagram type | File | | -------------------------------------------- | ---------------- | ---------------------------------------------------- | | Experimental workflow / decision logic | Flowchart | references/diagrams/flowchart.md | | Service interactions / API calls / messaging | Sequence | references/diagrams/sequence.md | | Data model / schema | ER diagram | references/diagrams/er.md | | State machine / lifecycle | State | references/diagrams/state.md | | Project timeline / roadmap | Gantt | references/diagrams/gantt.md | | Proportions / composition | Pie | references/diagrams/pie.md | | System architecture (zoom levels) | C4 | references/diagrams/c4.md | | Concept hierarchy / brainstorm | Mindmap | references/diagrams/mindmap.md | | Chronological events / history | Timeline | references/diagrams/timeline.md | | Class hierarchy / type relationships | Class | references/diagrams/class.md | | User journey / satisfaction map | User Journey | references/diagrams/user_journey.md | | Two-axis comparison / prioritization | Quadrant | references/diagrams/quadrant.md | | Requirements traceability | Requirement | references/diagrams/requirement.md | | Flow magnitude / resource distribution | Sankey | references/diagrams/sankey.md | | Numeric trends / bar + line charts | XY Chart | references/diagrams/xy_chart.md | | Component layout / spatial arrangement | Block | references/diagrams/block.md | | Work item status / task columns | Kanban | references/diagrams/kanban.md | | Cloud infrastructure / service topology | Architecture | references/diagrams/architecture.md | | Multi-dimensional comparison / skills radar | Radar | references/diagrams/radar.md | | Hierarchical proportions / budget | Treemap | references/diagrams/treemap.md | | Binary protocol / data format | Packet | references/diagrams/packet.md | | Git branching / merge strategy | Git Graph | references/diagrams/git_graph.md | | Code-style sequence (programming syntax) | ZenUML | references/diagrams/zenuml.md | | Multi-diagram composition patterns | Complex Examples | references/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 type | Template | | ------------------------------ | ----------------------------------------------- | | Pull request record | templates/pull_request.md | | Issue / bug / feature request | templates/issue.md | | Sprint / project board | templates/kanban.md | | Architecture decision (ADR) | templates/decision_record.md | | Presentation / briefing | templates/presentation.md | | Research paper / analysis | templates/research_paper.md | | Project documentation | templates/project_documentation.md | | How-to / tutorial | templates/how_to_guide.md | | Status report | templates/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

| Diagram | Keyword | Axis syntax | Data syntax | | ------- | ------- | ----------- | ----------- | | XY Chart (bars/lines) | xychart-beta | x-axis ["Label1", "Label2"] | bar [10, 20] or line [10, 20] | | Radar (spider/web) | radar-beta | axis 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 F

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars46.4k
CategoryAutomation
Updated1mo ago
Forks4.2k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions