llms-txt-generator

name

llms-txt-generator

description

Generate llms.txt and llms-full.txt files following the llmstxt.org protocol specification. This skill should be used when users want to create, update, or generate llms.txt files for their projects to make them more accessible to Large Language Models (LLMs). Triggers include: "create llms.txt", "generate llms-full.txt", "update llms.txt", "add llmstxt.org support", "make project LLM-friendly", "llms.txt protocol".

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

File	Purpose	Size
llms.txt	Concise overview with essential links	~100-200 lines
llms-full.txt	Comprehensive 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
4. Key Features: Bullet list of main features (5-10 items)
5. Documentation Section (## Documentation):
   • Getting started guide
   • Installation
   • Core concepts
   • Architecture overview
6. API Reference Section (## API Reference):
   • Main API documentation links
7. Integration/Platform Sections (if applicable):
   • Platform-specific guides
8. 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

Section	Required	Content
H1 Title	Yes	Project name only
Blockquote	Yes	1-2 sentence summary
Key Features	Yes	5-10 main features
Documentation	Yes	Core documentation links
API Reference	Yes	API documentation links
Optional	No	Secondary/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 instructions
 [](): Core concepts
 [](): System architecture



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



 [](): Description
 [](): Description



 [](): Description of example 1
 [](): 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+