Diagram Design
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
Writes scientific Markdown documentation and Mermaid diagrams for workflows, relationships, timelines, and schemas.
$ npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills markdown-mermaid-writing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/markdown-mermaid-writing .claude/skills/markdown-mermaid-writing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "markdown-mermaid-writing" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/markdown-mermaid-writing into .claude/skills/markdown-mermaid-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "markdown-mermaid-writing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/markdown-mermaid-writingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills markdown-mermaid-writing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/markdown-mermaid-writing .agents/skills/markdown-mermaid-writing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "markdown-mermaid-writing" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/markdown-mermaid-writing into .agents/skills/markdown-mermaid-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "markdown-mermaid-writing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills markdown-mermaid-writing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/markdown-mermaid-writing .cursor/skills/markdown-mermaid-writing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "markdown-mermaid-writing" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/markdown-mermaid-writing into .cursor/skills/markdown-mermaid-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "markdown-mermaid-writing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path skills/markdown-mermaid-writing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills markdown-mermaid-writing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/markdown-mermaid-writing .gemini/skills/markdown-mermaid-writing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "markdown-mermaid-writing" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/markdown-mermaid-writing into .gemini/skills/markdown-mermaid-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "markdown-mermaid-writing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install K-Dense-AI/scientific-agent-skills markdown-mermaid-writingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/markdown-mermaid-writing .github/skills/markdown-mermaid-writing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "markdown-mermaid-writing" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/markdown-mermaid-writing into .github/skills/markdown-mermaid-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "markdown-mermaid-writing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills markdown-mermaid-writing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/markdown-mermaid-writing .opencode/skills/markdown-mermaid-writing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "markdown-mermaid-writing" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/markdown-mermaid-writing into .opencode/skills/markdown-mermaid-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "markdown-mermaid-writing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
markdown-mermaid-writingWrites scientific Markdown documentation and Mermaid diagrams for workflows, relationships, timelines, and schemas.
Markdown Mermaid Writing is an agent skill from K-Dense-AI/scientific-agent-skills. 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. Use when a user requests Markdown, Mermaid, or a text-based structural diagram; quantitative scientific figures require suitable plotting tools.
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 42 other files, including reference files and assets (for example `assets/examples/example-research-report.md`, `references/current-rendering.md` and `references/diagrams/architecture.md`). Compatibility notes: Markdown authoring needs no runtime. Local rendering targets Mermaid and Mermaid CLI 12.0.0, Node.js 22.13+ and a supported Chromium browser. Package or CDN…
It sits in Development, covering Diagrams, Data visualization and Markdown. It works with Mermaid. The repository describes itself as: Turn any AI agent into an AI Scientist. The 1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific… The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 92ace75. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are mermaid).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.github.comgithub.comgithub.blogmermaid.js.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Markdown authoring needs no runtime. Local rendering targets Mermaid and Mermaid CLI 12.0.0, Node.js 22.13+ and a supported Chromium browser. Package or CDN installation needs network access; no credentials required.
From compatibility in the SKILL.md frontmatter.
Markdown Mermaid Writing loads about 4.2k tokens when it runs, and up to ~51k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 1,506 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, BashAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from K-Dense-AI/scientific-agent-skills at commit 92ace75, republished under its Apache-2.0 licence (© K-Dense-AI). 1,506 words, ~4,157 tokens.
.claude/skills/markdown-mermaid-writing/SKILL.md (or your agent's skills folder). This skill also uses 38 other files; get the full folder from GitHub.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
Use this skill when:
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.
| 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 |
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 outputRetain 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.
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.
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 |
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:
</details> when they improve separationBefore 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.%%{init} directives are deprecated in favor of YAML configurationclassDef where supported; style syntax is diagram-specificsnake_case works for flowcharts; ER/class/state conventions differStart 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.
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.
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 3radar-beta not radar (the bare keyword doesn't exist)axis to define dimensions, not x-axiscurve to define data series, not quoted labels with colonaccTitle/accDescr; check older hosts and retain a visible description| 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} |
accTitle/accDescr on supported typesOnly 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
...scientific-schematicsscientific-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 figurescientific-writingFor 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 contentliterature-reviewLiterature review produces summaries with lots of relationship data. Use this skill to:
Before finalizing a document using this skill, check:
| 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 |
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
templates/ — decision_record, how_to_guide, issue, kanban, presentation, project_documentation, pull_request, research_paper, status_report
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.
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.
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.
[^1]: GitHub Blog. (2022). "Include diagrams in your Markdown files with Mermaid." https://github.blog/2022-02-14-include-diagrams-markdown-files-mermaid/
[^2]: Mermaid. "Mermaid Diagramming and Charting Tool." https://mermaid.js.org/
© K-Dense-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 38 other files (references, assets) in skills/markdown-mermaid-writing of K-Dense-AI/scientific-agent-skills.
Open the folder on GitHubat commit 92ace75
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in K-Dense-AI/scientific-agent-skills, which our catalogue first saw on October 7, 2026.
Markdown Mermaid Writing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Markdown Mermaid Writing this skillK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.2k | Automated safety check: Notes | Apache-2.0 | |
| Diagram Designcathrynlavery/diagram-design | 49k | 1 repos | ~7.6k | Automated safety check: Pass | MIT | |
| Chatbot Mvp Distillationpdsuwwz/chatgpt-vue3-light-mvp | 579 | — | ~722 | Automated safety check: Pass | MIT | |
| Chatbot Mvp Distillation Zhpdsuwwz/chatgpt-vue3-light-mvp | 579 | — | ~414 | Automated safety check: Pass | MIT | |
| Axiom Explainerdigoal/blog | 8.6k | — | ~626 | Automated safety check: Pass | GPL-2.0 | |
| Bug Hunterdigoal/blog | 8.6k | — | ~1k | Automated safety check: Pass | GPL-2.0 |
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
pdsuwwz/chatgpt-vue3-light-mvp
Distill the chatgpt-vue3-light-mvp project into reusable architecture for building similar ChatGPT-style web products in other repositories.
pdsuwwz/chatgpt-vue3-light-mvp
将 chatgpt-vue3-light-mvp 项目蒸馏为可迁移到其他项目的中文架构指南。适用于设计或实现类似 ChatGPT 的 Web 对话产品,包括 SSE/fetch 流式响应、模型适配器契约、打字机渲染、Markdown/代码/KaTeX/Mermaid 渲染、推理过程展示,以及从本 Vue 3 MVP 迁移到其他项目的方案规划。
digoal/blog
生成面向学生的公理/定理深度讲解文案,输出图文并茂的 Markdown 文章。触发条件:用户输入一个观点、公理、定理或数学/科学/哲学命题,并希望获得系统性讲解文章。关键词包括:"讲解"、"解释"、"公理"、"定理"、"原理"、"推导"、"怎么来的"、"有什么用"、"证明"等。即使用户只说"帮我讲讲XX定理"或"解释一下XX原理",也应使用本 skill。输出保存到项目 markdown/…
digoal/blog
根据用户给出的行业名称(或默认使用热点社会新闻),抓取最新新闻热点,用"找世界bug"的视角——找出那些打眼一看就不合理的地方——深度分析根因、利益链条、监管盲区,并给出多维度解决思路,输出图文并茂(含SVG/Mermaid/ASCII图形)的Markdown文件,保存到项目markdown/目录。
digoal/blog
快速且通俗易懂地讲透一个行业,输出图文并茂的深度分析 Markdown 报告,保存到当前项目的 markdown/ 目录。触发条件:用户输入一个行业名称,并希望获得全面、通俗易懂的行业深度分析,关键词包括"讲透"、"深度分析行业"、"行业分析"、"帮我搞懂XX行业"、"XX行业是怎么赚钱的"、"XX行业有什么机会"、"XX行业怎么进入"、"产业链分析"、"行业机会"等。即使用户只说"帮我了解一下…
K-Dense-AI/scientific-agent-skills
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K-Dense-AI/scientific-agent-skills
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K-Dense-AI/scientific-agent-skills
Runs Cantera constant-volume or constant-pressure ignition simulations and reports temperature-based ignition delay with mechanism provenance and checks.
K-Dense-AI/scientific-agent-skills
Predicts how small molecules bind to a protein with DiffDock, covering batch docking, pose ranking by confidence and checks on the results; not for binding affinity.
K-Dense-AI/scientific-agent-skills
Plans and audits runs of the HypoGeniC and HypoRefine packages, which propose hypotheses from labeled text datasets, with local checks before any model call.
K-Dense-AI/scientific-agent-skills
Organizes scope, controlled documents, risk files and traceability into draft evidence for human review against ISO 13485, 14971, 17025 and 15189.
Works with
Writes scientific Markdown documentation and Mermaid diagrams for workflows, relationships, timelines, and schemas. Markdown Mermaid Writing is an agent skill from K-Dense-AI/scientific-agent-skills. Writes scientific Markdown documentation and Mermaid diagrams for workflows, relationships, timelines, and schemas.
Markdown Mermaid Writing fits situations like: A user requests Markdown; A text-based structural diagram; quantitative scientific figures require suitable plotting tools.
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing -a claude-code`. Or copy the skill folder (skills/markdown-mermaid-writing in K-Dense-AI/scientific-agent-skills) into .claude/skills/markdown-mermaid-writing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing -a codex`. Or copy the skill folder (skills/markdown-mermaid-writing in K-Dense-AI/scientific-agent-skills) into .agents/skills/markdown-mermaid-writing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/markdown-mermaid-writing, .gemini/skills/markdown-mermaid-writing, .github/skills/markdown-mermaid-writing and .opencode/skills/markdown-mermaid-writing in your project.
SKILL.md names no scripts, command-line tools or credentials: Markdown Mermaid Writing is instructions for the agent only. Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash. Compatibility (from SKILL.md): Markdown authoring needs no runtime. Local rendering targets Mermaid and Mermaid CLI 12.0.0, Node.js 22.13+ and a supported Chromium browser. Package or CDN installation needs network access; no credentials required..
SKILL.md names 4 domains. As links in the text: docs.github.com, github.com, github.blog and mermaid.js.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Markdown Mermaid Writing is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 47k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Markdown Mermaid Writing: Diagram Design (cathrynlavery/diagram-design, 49k stars), Chatbot Mvp Distillation (pdsuwwz/chatgpt-vue3-light-mvp, 579 stars), Chatbot Mvp Distillation Zh (pdsuwwz/chatgpt-vue3-light-mvp, 579 stars) and Axiom Explainer (digoal/blog, 8.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/scientific-agent-skills, which has 48,215 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.
Source: K-Dense-AI/scientific-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.