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readme-generatorREADME 生成器

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

33,671

周安装

1,349

GitHub Stars

公开资料未说明

下载量

10,815
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-generator(README 生成器)
来源仓库:https://github.com/fratua/readme-generator
安装命令:
openclaw skills install readme-generator
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-generator

简介

readme-generator 依据项目结构自动生成高质量 README.md。

  • 适用于开源项目初始化与文档标准化建设。安装时按仓库提供的命令执行,建议先在测试环境验证依赖、命令权限和文件改动范围。
  • 智能识别代码目录、依赖项与测试覆盖率信息。
  • 生成内容需人工校对确保事实准确性与版权合规性。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
readme-generator
description
Generate a production-quality README.md by analyzing project structure, framework, and code
version
1.0.0
author
Sovereign Skills
tags
[openclaw, agent-skills, automation, productivity, free, readme, documentation, generator]
triggers

readme-generator — Production-Quality README Generator

Analyze a project's structure and generate a comprehensive, framework-aware README.md.

Steps

1. Analyze Project Structure

Read these files (if they exist):

  • package.json / pyproject.toml / Cargo.toml / go.mod — name, description, version, deps
  • tsconfig.json — TypeScript config
  • docker-compose.yml / Dockerfile — containerization
  • .github/workflows/ — CI/CD
  • LICENSE / LICENSE.md — license type
  • Entry points: src/index.*, src/main.*, app.*, main.*, index.*
  • tests/ / test/ / __tests__/ / spec/ — test setup
# Get file tree (depth 3, ignore common dirs)
find . -maxdepth 3 -not -path '*/node_modules/*' -not -path '*/.git/*' -not -path '*/dist/*' -not -path '*/__pycache__/*' | head -100
# Windows alternative:
Get-ChildItem -Recurse -Depth 3 -Exclude node_modules,.git,dist,__pycache__ | Select-Object -First 100 FullName

2. Detect Framework & Ecosystem

SignalFramework
next.config.* or "next" in depsNext.js
"express" in depsExpress.js
"fastapi" in depsFastAPI
"django" in depsDjango
"flask" in depsFlask
"react" in deps (no next)React (CRA/Vite)
"vue" in depsVue.js
"svelte" in depsSvelteKit
Cargo.toml with [[bin]]Rust CLI
Cargo.toml with actix-web/axumRust Web
go.modGo

3. Determine Install & Run Commands

Based on detected ecosystem:

Node.js: Check for lockfiles to determine package manager.

  • pnpm-lock.yamlpnpm install / pnpm dev
  • yarn.lockyarn / yarn dev
  • package-lock.jsonnpm install / npm run dev
  • Read scripts in package.json for available commands.

Python: Check for pip, poetry, pipenv.

  • poetry.lockpoetry install / poetry run ...
  • Pipfilepipenv install / pipenv run ...
  • requirements.txtpip install -r requirements.txt

Rust: cargo build / cargo run

Go: go build / go run .

4. Generate Badges

Build badge URLs from detected tools:

![License](https://img.shields.io/badge/license-MIT-blue.svg)
![Node](https://img.shields.io/badge/node-%3E%3D18-brightgreen)
![TypeScript](https://img.shields.io/badge/TypeScript-5.x-blue)

Only include badges for things actually detected. Common badges: license, language/runtime version, CI status, test coverage.

5. Assemble README

Use this structure:

# Project Name

Brief description from package.json/pyproject.toml or inferred from code.

## Table of Contents
- [Features](#features)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Usage](#usage)
- [API Reference](#api-reference)  ← only if applicable
- [Configuration](#configuration)  ← only if env vars detected
- [Testing](#testing)
- [Deployment](#deployment)  ← only if Docker/CI detected
- [Contributing](#contributing)
- [License](#license)

## Features
- Bullet list of key capabilities (infer from code structure, routes, exports)

## Prerequisites
- Runtime version (node >= 18, python >= 3.10, etc.)
- Required system tools (Docker, database, etc.)

## Installation
[Package-manager-specific install commands from Step 3]

## Usage
[Dev/start commands, example API calls if it's a server]

## API Reference
[Only for libraries/APIs — list exported functions or endpoints]

## Configuration
[Environment variables — reference env-setup skill if complex]

## Testing
[Test runner command: npm test, pytest, cargo test, etc.]

## Contributing
1. Fork the repository
2. Create your feature branch (`git checkout -b feat/amazing-feature`)
3. Commit your changes (`git commit -m 'feat: add amazing feature'`)
4. Push to the branch (`git push origin feat/amazing-feature`)
5. Open a Pull Request

## License
[Detected license or "See LICENSE file"]

6. Tailor to Framework

  • Next.js: Add sections for pages/app router, API routes, environment variables
  • Express/FastAPI: Document route structure, middleware, API endpoints
  • React/Vue: Document component structure, state management, build output
  • CLI tools: Document command-line arguments and flags
  • Libraries: Focus on API docs, installation, and usage examples

7. Output

Write to README.md in the project root. If one exists, ask user before overwriting — offer to write to README.generated.md instead.

Edge Cases

  • Monorepo: Generate a root README linking to sub-packages, plus per-package READMEs
  • Empty project: Generate a minimal skeleton README with TODOs
  • No package manifest: Infer from file extensions and directory structure
  • Existing README: Ask before overwriting; diff and suggest additions

Error Handling

ErrorResolution
Can't detect frameworkGenerate a generic README; ask user to specify
No description availableUse directory name; prompt user to add one
No license fileNote it's missing; suggest adding one
Very large projectLimit tree scan depth; focus on src/ and root config

*Built by Clawb (SOVEREIGN) — more skills at [coming soon]*

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

94.52%
按下载量换算10,222

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。

来源信息

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