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⚠️ Work in Progress - This gem is currently under active development and not yet ready for any use.
A Ruby gem that automatically generates llms.txt files for Ruby projects using AI. This gem analyzes your Ruby codebase, extracts documentation from YARD comments, README files, and gemspec metadata, then uses a Large Language Model to create a properly formatted llms.txt file following the official specification.
The llms.txt file is a proposed standard for providing LLM-friendly content on websites. It offers brief background information, guidance, and links to detailed markdown files, helping Large Language Models understand and navigate your project more effectively.
Learn more at llmstxt.org.
Add this line to your application's Gemfile:
gem 'llms-txt-ruby'
And then execute:
$ bundle install
Or install it yourself as:
$ gem install llms-txt-ruby
Here's what a generated llms.txt file might look like:
# MyAwesomeGem
> MyAwesomeGem is a Ruby library for processing data with advanced algorithms and providing a clean API for developers.
This gem provides a comprehensive toolkit for data processing, featuring both synchronous and asynchronous processing capabilities. It includes built-in caching, error handling, and extensive configuration options.
## Documentation
- [Getting Started Guide](docs/getting_started.md): Quick introduction and basic usage examples
- [API Documentation](https://rubydoc.info/gems/my_awesome_gem): Complete API reference
- [Configuration Guide](docs/configuration.md): Detailed configuration options
## Examples
- [Basic Usage Examples](examples/basic_usage.rb): Simple examples to get started
- [Advanced Patterns](examples/advanced_patterns.rb): Complex usage patterns and best practices
## Optional
- [Contributing Guidelines](CONTRIBUTING.md): How to contribute to this project
- [Changelog](CHANGELOG.md): Version history and changes
The gem is available as open source under the terms of the MIT License.
Made with ❤️ for the Ruby community
FAQs
Unknown package
We found that llms-txt-ruby demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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