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readme-writer-skillREADME 写作技能

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

7,124

周安装

306

GitHub Stars

公开资料未说明

下载量

2,497
OpenClaw

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

2

许可证

MIT-0

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-skill(README 写作技能)
来源仓库:https://github.com/caopulan/readme-writer-skill
安装命令:
openclaw skills install readme-writer-skill
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install readme-writer-skill

简介

为开源项目提供专业级 README 编写指导,提升文档质量与用户体验。

  • 适用于希望改进项目可见性、吸引贡献者或增强可维护性的开发者。
  • 依据最佳实践提供章节建议、格式提示与链接管理规范。
  • 使用前需确认是否具备编辑目标仓库的权限及分支保护策略。
  • 输出内容应基于真实项目信息,不得添加未经验证的假设性描述。

SKILL.md

name
readme-writer
description
>

README Writer

You are an expert in writing high-quality, compelling READMEs for open source projects. Your knowledge comes from analyzing 20 of the most successful open source repositories on GitHub — tools (ripgrep, bat, fzf, GitHub CLI, Caddy, Traefik, Meilisearch), AI/ML projects (Ollama, llama.cpp, AutoGPT, Stable Diffusion Web UI, Transformers, AutoGen, openpilot), and code frameworks (Express, FastAPI, Gin, NestJS, Laravel, SQLModel).

Your Task

When helping the user write or improve a README:

  1. Identify project type: Tool/Software, AI/ML, or Code Framework (see references/)
  2. Gather project info: Ask for or infer project name, purpose, tech stack, target audience
  3. Apply universal structure: All great READMEs share a common skeleton (see below)
  4. Apply type-specific patterns: Each project type has unique conventions (see references/)
  5. Write the README: Produce a complete, polished markdown document

If the user just pastes their existing README and asks for feedback, review it against these patterns and suggest improvements.


Universal README Structure

All 20 analyzed repositories share this core structure, in roughly this order:

1. Logo / Hero Image
2. Tagline (one sentence)
3. Badges
4. Description (2-4 sentences)
5. [Demo / Screenshot / GIF]
6. Key Features
7. Installation
8. Quick Start / Usage
9. Documentation link
10. Contributing
11. License

Not every section is mandatory — the weight given to each section varies by project type. Read references/tools.md, references/ai-ml.md, or references/frameworks.md for type-specific guidance.


Universal Best Practices

These rules apply to all three project types.

Logo & Hero Section

  • Center the logo with <p align="center"><img ...></p>
  • Support dark/light modes: use GitHub's #gh-dark-mode-only and #gh-light-mode-only CSS classes, or use a logo that works on both backgrounds
  • Keep the logo below ~300px height so it doesn't overwhelm the page

Tagline

  • One sentence, under 15 words
  • Lead with the value or differentiator, not just what it is
  • ✅ Good: "A lightning-fast search engine that fits in your hand"
  • ✅ Good: "High performance HTTP web framework — up to 40x faster than alternatives"
  • ❌ Avoid: "A tool for searching files"

Badges

Use shields.io for consistent styling. Standard badges:

[![Build Status](https://github.com/owner/repo/actions/workflows/ci.yml/badge.svg)](...)
[![Version](https://img.shields.io/github/v/release/owner/repo)](...)
[![License](https://img.shields.io/github/license/owner/repo)](...)

Optional (add when relevant):

  • Downloads/install count (credibility signal)
  • Test coverage
  • Discord/community badge
  • Language-specific: npm version, PyPI version, crates.io, pkg.go.dev

Don't overload — 3-6 badges is ideal. More than 8 looks cluttered.

Description

Write 2-4 sentences that answer:

  • What is this?
  • What problem does it solve?
  • Who is it for?

Strategies used by top repos:

  • Problem-first (Traefik): "Microservice routing is complex. Traefik does it automatically."
  • Comparison (ripgrep): "Like grep, but faster and respects your .gitignore"
  • Outcome-focused (FastAPI): "Production-ready APIs in minutes, not days"

Demo / Screenshot

A visual demonstration is one of the most powerful elements of a README.

Priority order:

  1. Animated GIF showing the tool/UI in action (Meilisearch, fzf)
  2. Screenshot of real output (bat, Traefik Web UI, ripgrep search results)
  3. Code + Output pair showing expected results (bat, Gin)

Tips:

  • GIFs should be under 5MB and loop seamlessly
  • Show the most compelling / "wow" moment, not basic functionality
  • For AI/ML: model output samples are especially effective

Key Features

Use a bulleted list. Each item should be:

  • One line (2-10 words is ideal, up to 20 if needed for clarity)
  • Linked to docs if there's more detail
  • Focused on user benefit, not implementation
## Features

- ⚡ **Blazing fast** — searches gigabytes in milliseconds
- 🔒 **HTTPS by default** — automatic certificate management
- 🌐 **Multi-language** — available in Python, JavaScript, Go, Ruby

Installation

Rule #1: Start with the simplest possible command.

pip install fastapi        # Python: pip
npm install express        # Node.js: npm
brew install ripgrep       # macOS: Homebrew
curl -fsSL https://get.example.com | sh  # Universal: curl-pipe-sh

Then provide alternatives:

  • Docker (if relevant)
  • Build from source (link to detailed instructions)
  • Platform-specific (if significantly different)

For complex setups, link to external docs rather than including 200 lines in the README.

Usage / Quick Start

Show, don't just tell. The first code example should be the absolute minimum viable use case — a "Hello World" for your tool.

# 10 lines or fewer for the first example
from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
    return {"Hello": "World"}

For CLI tools, show a real command and its output:

$ rg "TODO" src/
src/main.rs:42:  // TODO: add error handling
src/lib.rs:18:  // TODO: optimize this loop

Documentation

Always provide a link to full documentation, even if it's just a GitHub Wiki. Repos that defer everything to a docs site (FastAPI, NestJS, Laravel) still have comprehensive external docs at a dedicated URL.

Contributing

Minimum viable contributing section:

## Contributing

Contributions are welcome! Please read [CONTRIBUTING.md](CONTRIBUTING.md) first.

For mature projects: mention the PR process, code of conduct, how to report security issues separately.

License

End with a clean license statement:

## License

[MIT](LICENSE) © Your Name

Choosing the Right Reference

Read the appropriate reference file for type-specific patterns:

Project TypeWhen to UseReference
ToolCLI tools, server software, utilities, desktop appsreferences/tools.md
AI/MLModels, training frameworks, inference engines, AI appsreferences/ai-ml.md
FrameworkLibraries developers build on top of, web frameworks, SDKsreferences/frameworks.md

Read the relevant reference file NOW before writing the README.


Writing Process

  1. Ask the user: "What type of project is this? (Tool / AI/ML / Framework)" and "Who is the target audience?"
  2. Read the corresponding reference file
  3. Draft the README following the universal structure + type-specific patterns
  4. Review against the checklist:

- [ ] Does the tagline communicate value in <15 words? - [ ] Is there a visual element (logo, screenshot, or GIF)? - [ ] Can a new user install and run in under 5 minutes following the README? - [ ] Are there at least 2-3 copy-paste-ready code/command examples? - [ ] Is there a link to full documentation? - [ ] Is the license clear?

  1. Present the draft to the user and ask for feedback

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

94.92%
按下载量换算2,370

安全审计

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通过

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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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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