markdown-mermaid-writing
について
このスキルは、開発者がMermaid図を埋め込んだマークダウンを標準フォーマットとして使用して、科学文書やレポートを作成できるようにします。包括的なスタイルガイド、24種類の図表のリファレンス、一貫性のある技術文書のための9つの文書テンプレートを提供します。分析、可視化、またはテキストベースの図表を必要とするあらゆる文書作成時にご利用ください。
クイックインストール
Claude Code
推奨npx skills add K-Dense-AI/claude-scientific-skills -a claude-code/plugin add https://github.com/K-Dense-AI/claude-scientific-skillsgit clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/markdown-mermaid-writingこのコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします
ドキュメント
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— useclassDefonly - One emoji per node max — at the start of the label
snake_casenode 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-betanotradar(the bare keyword doesn't exist) - Use
axisto define dimensions, notx-axis - Use
curveto 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 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 inlinestyle, onlyclassDef? - Are all external claims cited with
[^N]? - One H1, emoji on H2 only?
- Horizontal rules after every
</details>?
📚 Reference index
Style guides
| Guide | Path | Lines | What it covers |
|---|---|---|---|
| Markdown Style Guide | references/markdown_style_guide.md | ~733 | Headings, formatting, citations, tables, Mermaid integration, templates, quality checklist |
| Mermaid Style Guide | references/mermaid_style_guide.md | ~458 | Accessibility, 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.
- Source: https://github.com/SuperiorByteWorks-LLC/agent-project
- Author: Clayton Young / Superior Byte Works, LLC (@borealBytes)
- License: Apache-2.0
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.
GitHub リポジトリ
関連スキル
content-collections
メタこのスキルは、Content Collections(Markdown/MDXファイルを型安全なデータコレクションに変換するTypeScriptファーストのツール)の本番環境でテストされた設定を提供します。Zodバリデーションによる型安全性を実現し、ブログ、ドキュメントサイト、コンテンツ重視のVite + Reactアプリケーション構築時にご利用ください。Viteプラグインの設定、MDXコンパイルから、デプロイ最適化、スキーマバリデーションまで、すべてを網羅しています。
polymarket
メタこのスキルは、開発者がPolymarket予測市場プラットフォームを活用したアプリケーション構築を可能にします。API統合による取引や市場データの取得に加え、WebSocketを介したリアルタイムデータストリーミングにより、ライブ取引や市場活動を監視できます。取引戦略の実装や、ライブ市場更新を処理するツールの作成にご利用ください。
creating-opencode-plugins
メタこのスキルは、開発者がコマンド、ファイル、LSP操作など25種類以上のイベントタイプにフックするOpenCodeプラグインを作成することを支援します。JavaScript/TypeScriptモジュール向けに、プラグイン構造、イベントAPI仕様、および実装パターンを提供します。カスタムイベント駆動ロジックでOpenCode AIアシスタントのライフサイクルをインターセプト、監視、または拡張する必要がある場合にご利用ください。
sglang
メタSGLangは、高性能なLLMサービングフレームワークであり、RadixAttentionプレフィックスキャッシュを活用したJSON、正規表現、エージェントワークフロー向けの高速で構造化された生成を特長とします。特にプレフィックスが繰り返されるタスクにおいて、大幅に高速な推論を実現し、複雑な構造化出力やマルチターン対話に最適です。制約付きデコードが必要な場合や、広範なプレフィックス共有を伴うアプリケーションを構築する場合は、vLLMなどの代替案ではなくSGLangを選択してください。
