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Agent Skill · 开发

markdown(Markdown 控制)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

markdown 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 19,668。

总安装 261周安装 11GitHub Stars 37下载 92核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:markdown(Markdown 控制)
来源仓库:https://github.com/simhacker/moollm
仓库路径:skills/markdown
安装命令:
npx skills add https://github.com/simhacker/moollm --skill markdown
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/simhacker/moollm --skill markdown

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

markdown 用于辅助文档、README 和内容稿件的整理与改写。适合提炼结构、统一术语或检查链接,提升文档可读性。通过 npx skills add 命令从指定仓库安装并使用。建议保留项目事实,避免夸大能力或输出未确认信息。markdown 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/markdown

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/simhacker/moollm --skill markdown;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

markdown 怎么安装?

在终端执行 npx skills add https://github.com/simhacker/moollm --skill markdown。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

markdown 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

markdown 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

markdown 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

markdown 用的人多吗?

公开数据是累计安装 261 次,近一周安装 11 次,下载 92 次,GitHub 37 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

markdown 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
markdown

Markdown 控制 · 本页

26137操作浏览器未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Markdown

*"The source is the destination. Readable raw AND rendered."*

What Is It?

Markdown is the plain text format that powers MOOLLM's human-readable files. It's not just formatting — it's a philosophy:

  • Readable without rendering — Open SESSION.md in any editor, understand it instantly
  • Readable when rendered — GitHub, Obsidian, browsers enhance but don't transform
  • LLM-native — Models are trained on billions of Markdown files; they speak it fluently
  • Git-friendly — Diffs are meaningful, merges work, history is readable
  • No lock-in — Plain text survives every platform, every decade

Why Markdown Won

From Anil Dash's "How Markdown Took Over the World" (January 2025):

The 10 Technical Reasons

ReasonExplanationMOOLLM Parallel
1. Great brand"Markdown" = opposite of "markup"YAML Jazz, SOUL-CHAT, K-lines
2. Solved a real problemHTML too verbose for bloggingYAML too rigid; comments add soul
3. Built on existing behaviorsEmail formatting conventionsIndentation, # headers already intuitive
4. Mirrored RSS in originCurmudgeonly creators, blog platformsOpen source, community-driven
5. Community ready to helpDean Allen (Textile), Aaron SwartzSkill contributions, open protocols
6. Flavors for contextGFM, CommonMark, etc.Adventure YAML vs. session markdown
7. Time of behavior changeBlogging era = new habitsLLM era = new habits
8. Build tool eraMarkdown → HTML in pipelinesYAML → JSON → Browser
9. Works with "view source"Inspectable sourceFiles as state, transparent
10. No IP encumbranceFree, no patentsMIT license everywhere

The Key Insight

*"If markup is complicated, then the opposite of that complexity must be... markdown."* — Anil Dash

Markdown in MOOLLM

Session Logs

# Session: Adventure Uplift

## 📑 Index
1. [Overview](#1-overview)
2. [Decisions](#2-decisions)

---

## 1. Overview

<details open>
<summary><strong>🎯 Mission</strong></summary>

Build `adventure.py` to compile adventures to web apps.

</details>

<details open>
<summary><strong>📋 Technical Details</strong></summary>

Architecture decisions go here...

</details>

READMEs

# Skill Name

> *"One-liner that captures the essence"*

## What Is It?
Brief explanation.

## When to Use
- Scenario 1
- Scenario 2

## Dovetails With
- [related-skill/](../related-skill/)

Embedded Data

Markdown + YAML code blocks = structured data in narrative:

Here's the configuration:

​```yaml
rooms:
  - start
  - maze
  - end
​```

And the reasoning behind it...

GitHub-Flavored Markdown (GFM)

MOOLLM session logs use GFM extensions:

Tables

| Feature | Status |
|---------|--------|
| Navigation | ✅ Done |
| Inventory | 🚧 WIP |

Task Lists

- [x] Define schema
- [ ] Build linter
- [ ] Compile to JSON

Collapsible Sections

<details open>
<summary>Click to expand</summary>

Hidden content goes here.

</details>

Syntax Highlighting

​```python
def hello():
    print("Hello, world!")
​```

Alerts (GitHub-specific)

> [!NOTE]
> Useful information.

> [!WARNING]
> Critical information.

Mermaid Diagrams

GitHub renders Mermaid diagrams natively! Perfect for:

  • Flowcharts
  • Sequence diagrams
  • State machines
  • Entity relationships
  • Architecture diagrams
​```mermaid
flowchart TD
    YAML[YAML Microworld] --> Python[Python Loader]
    Python --> JSON[adventure.json]
    JSON --> Browser[Browser Engine]
    Browser --> Player[Player Experience]
​```

Renders as:

flowchart TD
    YAML[YAML Microworld] --> Python[Python Loader]
    Python --> JSON[adventure.json]
    JSON --> Browser[Browser Engine]
    Browser --> Player[Player Experience]
Common Mermaid Patterns

Flowchart (process flow):

flowchart LR
    A[Start] --> B{Decision}
    B -->|Yes| C[Action 1]
    B -->|No| D[Action 2]
    C --> E[End]
    D --> E

Sequence diagram (interactions):

sequenceDiagram
    Player->>Room: LOOK
    Room->>Objects: Query visible
    Objects-->>Room: [lamp, key]
    Room-->>Player: Description + objects

State diagram (room states):

stateDiagram-v2
    [*] --> start
    start --> maze: GO NORTH
    maze --> end: SOLVE PUZZLE
    maze --> maze: WANDER
    end --> [*]

Entity relationship (data model):

erDiagram
    ROOM ||--o{ OBJECT : contains
    ROOM ||--o{ EXIT : has
    CHARACTER ||--o{ OBJECT : carries
    EXIT }o--|| ROOM : leads_to

LLMs and Markdown

From Hacker News discussion (January 2025):

*"It's fundamentally text. No format/vendor lock-in and very amenable to living in a git repo. I can tell an LLM to look at the code in this repo and make me an API_documentation.md and it'll grasp that I want a text-based summary."* — @Havoc

Why LLMs Prefer Markdown

PropertyBenefit
Training dataBillions of.md files in training corpus
StructureHeaders, lists, code blocks = clear semantics
Low overheadNo bracket matching (unlike JSON)
Comments in code blocksContext preserved
Human-readableModel can "think out loud" naturally

LLM Output Patterns

LLMs naturally output:

  • # headers for sections
  • - bullets for lists
  • ``
  • **bold** for emphasis
  • Tables for structured comparisons

Match this in your prompts — write instructions in Markdown, get Markdown back.


The "Source is Destination" Principle

Markdown's power: it's both the source AND the readable output.

FormatSourceDestinationGap
LaTeX.texPDFLarge
HTML.htmlBrowserMedium
Markdown.md.md (or rendered)None

This is why YAML Jazz matters:

# This comment is readable in the source
# AND visible to the LLM
# AND preserved in the file
config:
  setting: value

The source IS the documentation. The documentation IS the source.


Best Practices for MOOLLM

1. Indexes at Top

Long documents need navigation:

## 📑 Index

1. [Section One](#section-one)
2. [Section Two](#section-two)

---

## Section One
...

2. Collapsible Details (CRITICAL!)

This is one of Markdown's superpowers. Hide complexity, show structure. Let readers scan summaries without drowning in details.

<details open>
<summary><strong>🎯 Important Section — Open by Default</strong></summary>

Critical content that readers need to see immediately.

</details>

<details open>
<summary><strong>📋 Technical Details — Collapsed by Default</strong></summary>

Dense content that only some readers need.
Click to expand when curious.

</details>
LLM-Generated Summaries in <summary> Tags

Key insight: The <summary> tag should contain a descriptive summary that tells readers what's inside WITHOUT opening. LLMs are great at generating these!

Bad:

<details open>
<summary>Click to see more</summary>
...content...
</details>

Good:

<details open>
<summary><strong>🎤 Gary Drescher's Talk — Schema Mechanism + LLM = Flight</strong></summary>

Full transcript of Gary explaining how LLMs complete what Made-Up Minds started...

</details>

Even better — with key points in summary:

<details open>
<summary><strong>🏗️ Architecture Decisions</strong> — YAML source, JSON compile, SPA output, staged development</summary>

Detailed architecture documentation...

</details>
Nesting Collapsibles

For complex documents, nest sections:

<details open>
<summary><strong>📚 Part 1: The Gathering</strong></summary>

Overview of who attended...

<details open>
<summary>Living Legends (25 people)</summary>

Full list with bios...

</details>

<details open>
<summary>Memorial Candles (10 people)</summary>

Those speaking through memory...

</details>

</details>
When to Use Each Pattern
PatternUse When
<details open>Main content, must-read sections
<details open> (closed)Supporting details, optional depth
Nested <details open>Hierarchical information (parts > chapters > sections)
Summary with key pointsReader can decide without opening
Summary with just titleSection is self-explanatory
The Session Log Pattern

MOOLLM session logs use this extensively:

## 5. Free-For-All Q&A

<details open>
<summary><strong>🎤 Highlights from the Chaos</strong> — Scott on 16KB, Will on distributed AI, Hofstadter on strange loops</summary>

### On Distributed Intelligence

**SCOTT ADAMS:** "Wait — schemas are literally what I fit in sixteen kilobytes in 1978!"

**WILL WRIGHT:** "We distributed intelligence INTO THE OBJECTS..."

...full transcript...

</details>

The reader sees:

  • Section title
  • Key topics covered
  • Can skip if not interested, or expand for full content

This is why session logs are readable even at 7000+ lines!

3. Tables for Structured Data

When you have parallel information:

| Room | Objects | Exits |
|------|---------|-------|
| start | lamp, key | north |
| maze | torch | north, south, east |

4. Code Blocks for Examples

Always use fenced code blocks with language hints:

​```yaml
name: example
​```

​```python
def example():
    pass
​```

5. Blockquotes for Quotes/Emphasis

> *"The filesystem IS the microworld."*
> — MOOLLM Constitution

Anti-Patterns

❌ Over-nesting headers — More than 4 levels is confusing ❌ Inline HTML everywhere — Defeats plain-text readability ❌ No structure — Wall of text without headers/sections ❌ Proprietary extensions — Stick to GFM for portability ❌ Rendered-only thinking — If it's unreadable raw, rethink it


The Durability Argument

From HN:

*"I don't want to worry about whatever cursed format OneNote uses still being something I can extract in 2035."* — @Havoc

Markdown files from 2004 are still readable today. They'll be readable in 2045. Plain text is forever.

MOOLLM session logs, skill files, and READMEs will outlive any proprietary format.


Dovetails With


Protocol Symbol

MARKDOWN

Invoke when: Writing documentation, session logs, READMEs, or any human-readable prose.


Credits

  • John Gruber — Creator of Markdown (2004)
  • Aaron Swartz — Beta tester, helped refine the format
  • Dean Allen — Textile (prior art, inspiration)
  • GitHub — GFM, mass adoption
  • Anil Dash — "How Markdown Took Over the World" (2025)
  • CommonMark — Standardization effort

*"The trillion-dollar AI industry's system for controlling their most advanced platforms is a plain text format one guy made up for his blog and then bounced off of a 17-year-old kid before sharing it with the world for free."* — Anil Dash

平台分布

Codex

35.32%
按下载量换算32

Claude

30.6%
按下载量换算28

Cursor

20.13%
按下载量换算19

Gemini CLI

8.32%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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