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Agent Skill · 研究检索

llms-txt-generator(llms txt 生成器)

llms-txt-generator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

llms-txt-generator 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 71,596。

总安装 194周安装 8GitHub Stars 19下载 63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:llms-txt-generator(llms txt 生成器)
来源仓库:https://github.com/loonghao/vx
仓库路径:skills/llms-txt-generator
安装命令:
npx skills add https://github.com/loonghao/vx --skill llms-txt-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 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/loonghao/vx --skill llms-txt-generator

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找和筛选相关信息,适合基于关键词快速定位结果。支持任务场景匹配和来源线索检索,提升信息获取效率。通过 GitHub 安装,需确认权限范围和维护状态后再使用。可能触发联网、命令执行或文件读写操作,建议提前评估风险。llms-txt-generator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/llms-txt-generator

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/loonghao/vx --skill llms-txt-generator;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

    它需要接触敏感数据,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

llms-txt-generator 怎么安装?

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

llms-txt-generator 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。

llms-txt-generator 需要什么权限?

权限级别是接触敏感数据。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。

llms-txt-generator 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。

llms-txt-generator 用的人多吗?

公开数据是累计安装 194 次,近一周安装 8 次,下载 63 次,GitHub 19 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。

llms-txt-generator 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
llms-txt-generator

llms txt 生成器 · 本页

19419接触敏感数据未明确通过

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

LLMs.txt Generator Skill

Generate llms.txt and llms-full.txt files following the llmstxt.org protocol specification to make projects more accessible to Large Language Models.

What is llms.txt?

The /llms.txt protocol is a standard for providing structured information about a website/project to LLMs. It helps LLMs quickly understand the project structure and access key documentation without parsing complex HTML pages.

Protocol Benefits

  • Better LLM Interaction: LLMs can quickly understand project capabilities
  • Accurate Responses: Provides authoritative documentation links
  • Developer Experience: Improves AI-assisted development
  • Discoverability: Makes projects accessible to AI coding assistants

File Structure Requirements

llms.txt Format (Mandatory Structure)

The file MUST follow this exact order:

# Project Title

> Brief project summary in a blockquote (1-2 sentences)

Additional project details (optional paragraphs/lists, no H2-H6 headers here)

## Section Name

- [Link Title](url): Description of the link
- [Another Link](url)

## Optional

- [Secondary Info](url): Links that can be skipped when context is limited

Two File Types

FilePurposeSize
llms.txtConcise overview with essential links~100-200 lines
llms-full.txtComprehensive documentation with code examples~500-1000 lines

Generation Workflow

Step 1: Gather Project Information

To generate accurate llms.txt files, collect the following information:

  1. Project README: Read README.md for project overview, features, and quick start
  2. Documentation Structure: List files in docs/ directory to identify available guides
  3. API Reference: Find API documentation files
  4. Examples: List examples in examples/ directory
  5. Package Info: Read package.json, pyproject.toml, or Cargo.toml for metadata

Step 2: Generate llms.txt (Concise Version)

Create llms.txt with:

  1. H1 Title: Project name
  2. Blockquote: One-sentence project summary
  3. Key Info:

- Package installation command - Supported platforms/versions - License - Repository URL

  1. Key Features: Bullet list of main features (5-10 items)
  2. Documentation Section (## Documentation):

- Getting started guide - Installation - Core concepts - Architecture overview

  1. API Reference Section (## API Reference):

- Main API documentation links

  1. Integration/Platform Sections (if applicable):

- Platform-specific guides

  1. Optional Section (## Optional):

- Advanced guides - Examples - Contributing guide

Step 3: Generate llms-full.txt (Comprehensive Version)

Create llms-full.txt with everything from llms.txt plus:

  1. Extended Features: Complete feature list with descriptions
  2. Technical Stack: Detailed technical information
  3. Quick Start Code: Actual code examples for common use cases
  4. Complete API Reference: All API classes and methods with signatures
  5. All Documentation Links: Every guide and reference document
  6. Code Examples: Inline code snippets demonstrating key functionality
  7. RFCs/Architecture Docs: Technical design documents
  8. Full Examples List: All example files with descriptions

Format Rules

Link Format

- [Title](https://github.com/owner/repo/blob/main/path/to/file.md): Brief description

Code Blocks in llms-full.txt

Include actual code examples:

### Quick Start

\`\`\`python
from mypackage import MyClass

instance = MyClass()
instance.do_something()
\`\`\`

Section Guidelines

SectionRequiredContent
H1 TitleYesProject name only
BlockquoteYes1-2 sentence summary
Key FeaturesYes5-10 main features
DocumentationYesCore documentation links
API ReferenceYesAPI documentation links
OptionalNoSecondary/advanced content

Example Templates

llms.txt Template

# ProjectName

> Brief description of the project in one or two sentences.

ProjectName is a [type of project] that provides [main capability]. Built with [technology], it offers [key benefit].

- **Package**: `pip install projectname`
- **Platforms**: Windows, macOS, Linux
- **License**: MIT
- **Repository**: https://github.com/owner/projectname

## Key Features

- Feature 1 description
- Feature 2 description
- Feature 3 description

## Documentation

- [Getting Started](https://github.com/owner/repo/blob/main/docs/getting-started.md): Quick start guide
- [Installation](https://github.com/owner/repo/blob/main/docs/installation.md): Installation instructions
- [Core Concepts](https://github.com/owner/repo/blob/main/docs/concepts.md): Core concepts

## API Reference

- [Main API](https://github.com/owner/repo/blob/main/docs/api/main.md): Main API reference

## Optional

- [Advanced Usage](https://github.com/owner/repo/blob/main/docs/advanced.md): Advanced features
- [Examples](https://github.com/owner/repo/tree/main/examples): Code examples

llms-full.txt Template

# ProjectName

> Brief description of the project in one or two sentences.

ProjectName is a [type of project] that provides [main capability]. Built with [technology], it offers [key benefit].

- **Package**: `pip install projectname`
- **Platforms**: Windows, macOS, Linux
- **License**: MIT
- **Repository**: https://github.com/owner/projectname
- **PyPI/NPM**: https://pypi.org/project/projectname/

## Key Features

- **Feature 1**: Detailed description of feature 1
- **Feature 2**: Detailed description of feature 2
- **Feature 3**: Detailed description of feature 3

## Technical Stack

- Core: Technology 1, Technology 2
- Runtime: Platform requirements
- Packaging: Build system details

## Quick Start

### Installation

\`\`\`bash
pip install projectname
\`\`\`

### Basic Usage

\`\`\`python
from projectname import MainClass

instance = MainClass(param="value")
result = instance.method()
print(result)
\`\`\`

## Core API

### MainClass

\`\`\`python
MainClass(
    param1: str = "default",
    param2: int = 100,
)
\`\`\`

### Methods

\`\`\`python
instance.method1()  # Description
instance.method2(arg)  # Description
\`\`\`

## Documentation

- [Getting Started](url): Quick start guide
- [Installation](url): Installation instructions
- [Core Concepts](url): Core concepts
- [Architecture](url): System architecture

## API Reference

- [Main API](url): Main API reference
- [Secondary API](url): Secondary API reference

## Advanced Guides

- [Advanced Topic 1](url): Description
- [Advanced Topic 2](url): Description

## Examples

- [Example 1](url): Description of example 1
- [Example 2](url): Description of example 2

Update Workflow

To update existing llms.txt files:

  1. Read Current Files: Load existing llms.txt and llms-full.txt
  2. Identify Changes: Compare with current documentation structure
  3. Update Sections: Add new documentation links, update descriptions
  4. Maintain Format: Preserve the protocol structure
  5. Validate: Ensure all links are valid and descriptions are accurate

Validation Checklist

Before finalizing, verify:

  • H1 title is present and matches project name
  • Blockquote summary is present
  • Key information (package, platforms, license, repo) is included
  • All links use full GitHub URLs (not relative paths)
  • Links include : description format
  • ## Optional section contains secondary content
  • No H2-H6 headers before the first ## Section
  • Code examples in llms-full.txt are syntactically correct
  • All referenced files exist in the repository

Common Patterns

For Python Projects

- **Package**: `pip install packagename`
- **Python**: 3.7+

For Rust Projects

- **Crate**: `cargo add cratename`
- **Rust**: 1.70+

For Node.js Projects

- **Package**: `npm install packagename`
- **Node.js**: 18+

For Multi-Language Projects

- **Python Package**: `pip install packagename`
- **Rust Core**: Built with Rust 1.75+
- **Python**: 3.7+

平台分布

Codex

36.01%
按下载量换算23

Claude

33.46%
按下载量换算21

Cursor

18.65%
按下载量换算12

Gemini CLI

9.56%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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