markdown-mermaid-writing
정보
이 스킬은 워크플로우, 관계, 스키마를 시각화하기 위해 Mermaid 다이어그램이 내장된 Markdown 문서를 생성합니다. 구문 도움말, 템플릿 및 렌더링 검사를 제공하여 텍스트 기반 구조 다이어그램에 이상적입니다. Markdown이나 Mermaid를 요청받을 때 사용하되, 정량적 그림은 별도의 플로팅 도구가 필요함을 유의하세요.
빠른 설치
Claude Code
추천npx 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-writingClaude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요
문서
Markdown and Mermaid Writing
Overview
This skill provides an optional house style for Markdown documentation with Mermaid structural diagrams. Follow the requested output format, existing repository conventions, and journal requirements first. This skill does not replace scientific analysis or plotting.
A relationship expressed as Mermaid inside a .md file is editable text that diffs
cleanly in git. A compatible host renders it without a separate user build step.
It renders where the host has Mermaid support; plain Markdown viewers may show only code,
and platforms/extensions ship different Mermaid versions. It uses
a compact source representation, though token use depends on the diagram. Exporting
SVG/PNG requires a renderer; retain the diagram source alongside exported figures.
"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:
- Writing a requested Markdown report, README, methods overview, or research note
- Diagramming a workflow, data pipeline, schema, state machine, or conceptual relationship
- Maintaining editable Mermaid sources and their rendered SVG/PNG exports
Use scientific plotting tools directly for measured data, uncertainty, statistical graphics, exact geometry, or publication figures that Mermaid cannot faithfully represent. Mermaid is not a required precursor to a quantitative chart or an existing SVG/code-native asset.
🎨 The Source Format Philosophy
Why text-based diagrams win
| What matters | Mermaid in Markdown | Python / AI Image |
|---|---|---|
| Git diff readable | ✅ text source | Plotting code/SVG can also be text |
| Editable source | ✅ | Plotting scripts and vector sources are editable |
| Compact relationship notation | Often | Depends on representation |
| Native preview | Host/version dependent | Viewer/format dependent |
| Parseable by AI without vision | ✅ | ❌ |
| Works in destination | Check Mermaid support and version | Check image format support |
| Accessible (screen readers) | Check SVG metadata and text alternative | Provide alt text/data table |
| Convertible to image later | ✅ anytime | — already image |
The three-phase workflow
flowchart LR
accTitle: Three-Phase Documentation Workflow
accDescr: Markdown holds the structural diagram source. Quantitative charts come from data and plotting code; optional illustrations require a separate factual review.
p1["📄 Phase 1<br/>Mermaid in Markdown<br/>(structural source)"]
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
data["Data and plotting code"] --> 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
Retain Mermaid for structural diagrams and data/code for quantitative charts. An AI illustration is not a quantitative conversion; verify every label and relationship against its sources.
What Mermaid can express
This skill includes 23 diagram-type guides plus a composition guide. Mermaid supports additional types; these references are a curated subset, not an exhaustive version catalogue:
| 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
For this Markdown workflow, read references/markdown_style_guide.md. Treat emoji,
heading counts, and horizontal rules as house style rather than Markdown syntax requirements.
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
- Support factual claims — use verified sources and the requested citation format
- Bold sparingly — max 2-3 bold terms per paragraph, never full sentences
- Optional horizontal rules after
</details>when they improve separation - 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.
Add accessibility metadata for types that emit it in the chosen renderer:
accTitle: Short Name 3-8 Words
accDescr: One or two sentences explaining what this diagram shows.
- Prefer host themes;
%%{init}directives are deprecated in favor of YAML configuration - Prefer reusable
classDefwhere supported; style syntax is diagram-specific - One emoji per node max — at the start of the label
- Use descriptive IDs with the type's syntax:
snake_caseworks for flowcharts; ER/class/state conventions differ
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.
Render in the actual destination before delivery. Check its Mermaid version and
plugin requirements before choosing newer diagram types; GitHub documents an info
diagram for this check.
A successful latest-version local preview does not establish GitHub or another host
will render it. Where Mermaid is unsupported, supply a rendered SVG/PNG with a text
description alongside the retained .md source.
Step 5: Retain source and verification
Keep the .md source, rendered deliverable, and tested renderer version together.
Follow the project's version-control workflow; this skill does not itself authorize a commit or publication.
For CLI export, embedding, and the tested accessibility matrix, read
Current rendering and validation.
⚠️ Common pitfalls
Radar chart syntax (radar-beta)
WRONG (shown as text so it does not break the document renderer):
radar
title Example
x-axis ["A", "B", "C"]
"Series" : [1, 2, 3]
CORRECT:
radar-beta
accTitle: Example Radar Scores
accDescr: Illustrative values of one, two, and three on a shared zero-to-three scale.
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 - Mermaid 12.0.0 radar emits
accTitle/accDescr; check older hosts and retain a visible description
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 on a stated, common score scale. See the data table for exact values.
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
For a manuscript that uses Mermaid structural figures, this skill handles diagram syntax. Follow the manuscript's required figure formats and scientific visualization conventions.
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 plotting or schematic tools where appropriate to the scientific content
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 a document using this skill, check:
- Does the document use a template? If so, did I start from the right one?
- Is each diagram in an appropriate format, with working accessibility metadata or a text alternative?
- Is configuration supported by the destination and tested in light/dark themes?
- Do citations support external claims, and are synthetic values labeled?
- One H1, emoji on H2 only?
- Does the final Markdown/HTML structure render correctly?
📚 Reference index
Style guides
| Guide | Path | Lines | What it covers |
|---|---|---|---|
| Markdown Style Guide | references/markdown_style_guide.md | see file | Headings, formatting, citations, tables, Mermaid integration, templates, quality checklist |
| Mermaid Style Guide | references/mermaid_style_guide.md | see file | Accessibility, emoji set, color classes, theme neutrality, type selection, complexity tiers |
| Current Rendering | references/current-rendering.md | see file | Mermaid 12 changes, CLI export, browser APIs, tested accessibility matrix, scientific checks |
Diagram guides (23 types plus composition)
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 synthetic quality-control report with explicitly invented data, an auditable count table, a structural flowchart, a bar chart, and a chronology. It makes no experimental or software API claims.
📝 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 저장소
자주 묻는 질문
markdown-mermaid-writing Skill이란 무엇인가요?
markdown-mermaid-writing은(는) K-Dense-AI이(가) 만든 Claude Skill입니다. Skill은 Claude가 필요할 때 불러오는 지침과 리소스를 묶어 추가 프롬프트 없이 markdown-mermaid-writing 관련 작업을 수행할 수 있게 합니다.
markdown-mermaid-writing은(는) 어떻게 설치하나요?
이 페이지의 설치 명령을 사용하세요. markdown-mermaid-writing을(를) Claude Code 플러그인으로 추가하거나 저장소를 skills 디렉터리에 복제한 다음 Claude를 다시 시작해 Skill을 불러옵니다.
markdown-mermaid-writing은(는) 어떤 카테고리에 속하나요?
markdown-mermaid-writing은(는) 메타 카테고리에 속합니다.
markdown-mermaid-writing은(는) 무료로 사용할 수 있나요?
네. markdown-mermaid-writing은(는) AIMCP에 등록되어 있으며 무료로 설치할 수 있습니다.
연관 스킬
이 스킬은 콘텐츠 콜렉션(Content Collections)을 위한 프로덕션 검증된 설정을 제공합니다. 콘텐츠 콜렉션은 Markdown/MDX 파일을 Zod 검증이 포함된 타입 안전한 데이터 콜렉션으로 변환해주는 TypeScript 최우선 도구입니다. 블로그, 문서 사이트 또는 콘텐츠 중심의 Vite + React 애플리케이션을 구축할 때 타입 안전성과 자동 콘텐츠 검증을 보장하기 위해 사용하세요. Vite 플러그인 구성과 MDX 컴파일부터 배포 최적화 및 스키마 검증에 이르기까지 모든 것을 다룹니다.
이 스킬은 개발자들이 Polymarket 예측 시장 플랫폼을 활용한 애플리케이션을 구축할 수 있도록 지원하며, 거래 및 시장 데이터를 위한 API 통합 기능을 포함합니다. 또한 WebSocket을 통한 실시간 데이터 스트리밍을 제공하여 실시간 거래와 시장 활동을 모니터링할 수 있습니다. 이를 통해 거래 전략을 구현하거나 실시간 시장 업데이트를 처리하는 도구를 생성하는 데 활용할 수 있습니다.
이 스킬은 개발자들이 명령어, 파일, LSP 작업 등 25개 이상의 이벤트 유형에 연결되는 OpenCode 플러그인을 만들 수 있도록 돕습니다. JavaScript/TypeScript 모듈을 위한 플러그인 구조, 이벤트 API 명세, 구현 패턴을 제공합니다. OpenCode AI 어시스턴트의 라이프사이클을 사용자 정의 이벤트 기반 로직으로 가로채거나, 모니터링하거나, 확장해야 할 때 사용하세요.
SGLang은 RadixAttention 프리픽스 캐싱을 활용하여 JSON, 정규식, 에이전트 워크플로우를 위한 고속 구조화 생성에 특화된 고성능 LLM 서빙 프레임워크입니다. 특히 반복되는 프리픽스가 있는 작업에서 상당히 빠른 추론 속도를 제공하여 복잡한 구조화 출력 및 다중 턴 대화에 이상적입니다. 제약 디코딩이 필요하거나 광범위한 프리픽스 공유가 있는 애플리케이션을 구축할 때는 vLLM과 같은 대안보다 SGLang을 선택하십시오.
