Token导航 LogoToken导航TokenDH.com
AI 工具需要联网github未标认证来源可访问clear审计通过

readme-writerREADME 写作

Agent Skill

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。

总安装

1,224

周安装

51

GitHub Stars

32

下载量

408
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:readme-writer(README 写作)
来源仓库:https://github.com/steveclarke/dotfiles
仓库路径:skills/readme-writer
安装命令:
npx skills add https://github.com/steveclarke/dotfiles --skill readme-writer
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/steveclarke/dotfiles --skill readme-writer

简介

readme-writer 用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写,适合让 Agent 提炼结构、补齐章节、统一术语或检查链接。

  • 适用于文档编写和内容整理任务,需保留项目已有事实和路径。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 涉及对外文案时应控制语气,避免过度营销或夸大能力。
  • 可结合原始 README 继续核验具体用法和功能细节。

SKILL.md

README Writer

README Structure

A good README flows through these sections:

  1. What and why — What the package does and why it matters (the "what's in it for me" for the reader)
  2. Install and use — How to get started quickly
  3. Configuration — Common options and methods
  4. Contributing — How to contribute, or a pointer to CONTRIBUTING.md. Notes on the build environment and portability
  5. Project layout — Brief explanation of unusual top-level directories or files, hints for navigating the source

Writing for a Technical Audience

Reading Level

Target a Flesch-Kincaid grade level of 11 or below. Technical terms will naturally inflate the score — that's fine. The goal is to keep the *surrounding prose* clear and direct so the technical content stays accessible.

After writing or revising, measure with scripts/flesch_kincaid.rb:

cat README.md | ruby scripts/flesch_kincaid.rb

Revise until the score is at or below grade 11. Focus revision effort on:

  • Shortening sentences (not dumbing down terminology)
  • Replacing complex connectors with simple ones
  • Breaking multi-clause sentences into two

ESL-Friendly Writing

Many readers of technical documentation are not native English speakers.

Profile vocabulary coverage with scripts/vocabulary_profiler.rb:

cat README.md | ruby scripts/vocabulary_profiler.rb

Aim to increase the percentage of words in the top 1000 most common English words. Technical terms will lower this number — that's expected. Keep the non-technical words simple.

Do:

  • Use active voice
  • Keep noun phrases short and direct
  • Limit embedded clauses to one level of nesting
  • Use simple "if/then" conditionals
  • Make logical connections explicit with transition words (however, therefore, because)
  • Spread information across multiple sentences when needed

Don't:

  • Stack multiple modifiers before nouns ("the recently revised standardized testing protocol")
  • Rely on mixed or inverted conditionals ("Had she known...")
  • Expect readers to infer relationships between ideas
  • Pack too many new concepts into a single sentence
  • Assume shared knowledge of idioms or cultural references

Flow and Transitions

  • Start with concepts, then details. Give readers the "why" before the "how"
  • Add transitions between major sections so the document reads as a narrative, not a list of disconnected blocks
  • Use phrases like "Now that you have X set up, here's how to configure Y"
  • Create logical progression from high-level to detailed

Formatting

GitHub-Flavored Markdown

Use callout blocks to highlight important information:

[!CAUTION] [!IMPORTANT] [!NOTE] [!TIP] [!WARNING]

Disambiguation

  • Use bold for key concepts on first introduction
  • Use code for commands, filenames, config keys, and values
  • Use concrete, descriptive names for examples ("Invoice Approval" not "Example 1")

Quality Checklist

Before finalizing, verify:

  • Each section flows naturally into the next
  • Flesch-Kincaid grade level is 11 or below
  • Key concepts are bolded on first use
  • Examples use real scenario names, not generic placeholders
  • No corporate buzzwords (comprehensive, robust, seamless, leverage, utilize)
  • Terminology is consistent throughout (same word for same concept)
  • Acronyms and specialized terms are defined on first use
  • Active voice is used wherever possible

Bibliography

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

windsurf

29.67%
按下载量换算121

OpenCode

22.56%
按下载量换算92

Codex

17.41%
按下载量换算71

Claude Code

12.31%
按下载量换算50

Antigravity

7.09%
按下载量换算29

Gemini CLI

3.18%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

来源信息

继续浏览同类 Skills