Data & ReproScientific VisualizationK-Dense-AI/claude-scientific-skillsData & Reproduction
MA

markdown-mermaid-writing

Maintainer Clayton Young / Superior Byte Works, LLC (@borealBytes) · Last updated April 1, 2026

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….

Claude CodeOpenClawNanoClawAnalysisWritingmarkdown-mermaid-writingdocument-processinganalysisdocument processing

Original source

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/markdown-mermaid-writing

Maintainer
Clayton Young / Superior Byte Works, LLC (@borealBytes)
License
Apache-2.0
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • 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.
  • Creating any scientific document — reports, analyses, manuscripts, methods sections.
  • Writing any documentation — READMEs, how-tos, decision records, project docs.

Source Doc

Excerpt From SKILL.md

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.

Use cases

  • 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.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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