markdown-mermaid-writing
Skill3 starsChanged 8 months agoMITView on GitHub
Write markdown-first technical documents with Mermaid diagrams for CS research, engineering, and agent workflows. Use when creating design docs, research notes, experiment plans, repo documentation, issue reports, architecture diagrams, workflow descriptions, or text-native visual explanations that should diff cleanly in Git.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- MarieLynneBlock/arcanum-artifextheir own version, first seen Nov 1, 2026
- patoangolano/bio-stacktheir own version, first seen Oct 15, 2026
- Luooops/skillstheir own version, first seen Oct 13, 2026
- hxhx-win/zhuanli-flowtheir own version, first seen Aug 30, 2026
- uppifyagency/boilerplate-saas-2026their own version, first seen Jun 2, 2026
- Oceanjackson1/Claude-Skilltheir own version, first seen Mar 26, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- LeonChaoX/qinyan-academic-skills★ 910same name
- qinyan-ai/qinyan-academic-skills★ 80same name
- hxhx-win/zhuanli-flow★ 4same name
- MarieLynneBlock/arcanum-artifex★ 4same name
- Oceanjackson1/Claude-Skill★ 2same name
- Luooops/skills★ 1same name
- uppifyagency/boilerplate-saas-2026★ 1same name
- yf8578/claude-skills-collection★ 1same name
- patoangolano/bio-stack★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository43 other files it gives its agents.
- agent-codingSkill
- benchmark-designSkill
- citation-managementSkill
- code-reproductionSkill
- code-to-paperSkill
- daskSkill
- experiment-trackingSkill
- exploratory-data-analysisSkill
- get-available-resourcesSkill
- github-release-prepSkill
- latex-postersSkill
- literature-reviewSkill
- markitdownSkill
- matplotlibSkill
- modalSkill
- networkxSkill
- paper-to-codeSkill
- peer-reviewSkill
- plotlySkill
- polarsSkill
- pytorch-lightningSkill
- pyzoteroSkill
- repo-cleanupSkill
- research-planningSkill
- reviewer-responseSkill
- scholar-evaluationSkill
- scientific-critical-thinkingSkill
- scientific-schematicsSkill
- scientific-slidesSkill
- scientific-visualizationSkill
- scientific-writingSkill
- scikit-learnSkill
- seabornSkill
- shapSkill
- stable-baselines3Skill
- statistical-analysisSkill
- statsmodelsSkill
- sympySkill
- torch-geometricSkill
- transformersSkill
- umap-learnSkill
- vaexSkill
- venue-templatesSkill
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 9 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use markdown plus Mermaid as the default text-native format for CS documentation.
- Distinctive: line 21
Keep markdown as the source of truth.
- Distinctive: line 22
Use Mermaid when structure matters more than polished graphics.
- Distinctive: line 23
Prefer concise diagrams that clarify dependencies, flow, or state changes.
- Distinctive: line 24
Use prose for nuance and Mermaid for relationships.
- Distinctive: line 25
Avoid diagram types that look impressive but do not change understanding.
- Distinctive: line 29
Read only what matches the task:
- Very specific: line 49
Use scientific-writing for prose-heavy paper drafting.
- Very specific: line 50
Use scientific-schematics only when a polished figure is needed beyond Mermaid.
- Distinctive: line 51
Use this skill first when a text-native architecture or workflow diagram is enough.
- Distinctive: line 55
When the user asks for documentation help without specifying a format, return:
“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Markdown and Mermaid Writing
Use markdown plus Mermaid as the default text-native format for CS documentation. Prefer it when diagrams should remain editable, reviewable, and easy to version-control.
Good Fits
- system architecture notes
- agent or tool workflow diagrams
- experiment plans and benchmark protocols
- repo documentation and onboarding docs
- issue, PR, or release notes
- research outlines, related-work maps, and slide drafts
Working Rules
- Keep markdown as the source of truth.
- Use Mermaid when structure matters more than polished graphics.
- Prefer concise diagrams that clarify dependencies, flow, or state changes.
- Use prose for nuance and Mermaid for relationships.
- Avoid diagram types that look impressive but do not change understanding.
Useful Local Resources
Read only what matches the task:
references/markdown_style_guide.mdreferences/mermaid_style_guide.mdreferences/diagrams/architecture.mdreferences/diagrams/flowchart.mdreferences/diagrams/sequence.mdreferences/diagrams/state.mdreferences/diagrams/c4.mdreferences/diagrams/er.md
Templates worth reusing:
templates/project_documentation.mdtemplates/research_paper.mdtemplates/status_report.mdtemplates/decision_record.mdtemplates/presentation.mdtemplates/pull_request.md
Relationship to Other Skills
- Use
scientific-writingfor prose-heavy paper drafting. - Use
scientific-schematicsonly when a polished figure is needed beyond Mermaid. - Use this skill first when a text-native architecture or workflow diagram is enough.
Default Output
When the user asks for documentation help without specifying a format, return:
- a suggested markdown structure
- one or more Mermaid diagrams if they improve clarity
- naming or organization suggestions for long-term maintenance
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

