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llms-txt-generatorllms txt 生成器

Agent Skill

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。

总安装

194

周安装

8

GitHub Stars

19

下载量

63
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

2

许可证

unknown

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: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

简介

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。

SKILL.md

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+

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

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

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

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

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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