GitHub - LobsterTrap/lola: Lola is able to package AI Context Modules or skills into a distributed package to be supported across multiple AI assistants. Think of your skill as the RPM package and Lola as the YUM/DNF. Write your skills once, run everywhere.

Write Agent Skills and Contexts once, use everywhere.

Lola is a universal AI Package Manager. If an agent's skills were an RPM, Lola is the DNF for it. Write your skills and context modules once as portable packages, then install them to any AI assistant or agent with a single command.

Supported AI Assistants

Installation

# Recommended: install from PyPI
uv tool install lola-ai

# Or with pip
pip install lola-ai

Want the latest dev version? uv tool install git+https://github.com/LobsterTrap/lola

Quick Start

# Set up the official marketplace
lola market add general https://raw.githubusercontent.com/RedHatProductSecurity/lola-market/main/general-market.yml

# Add a module
lola mod add https://github.com/user/my-skills.git

# Install to all detected assistants
lola install my-skills

# Or install to a specific assistant
lola install my-skills -a claude-code

Declarative Installation

Create a .lola-req in your project:

python-tools>=1.0.0
git-workflow>>claude-code
https://github.com/user/module.git@main

Documentation

Full documentation is available at lobstertrap.org/lola.

• Installation - Prerequisites and setup
• Quick Start - Get up and running
• User Guide - Modules, marketplace, and more
• CLI Reference - Complete command reference
• Skills and Modules - Understanding Agent Skills vs AI Context Modules
• Roadmap - Vision and where Lola is heading

Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.

License

GPL-2.0-or-later

Authors

• Igor Brandao
• Katie Mulliken