Short answer
An AI package manager helps teams install, update, and share AI setup files. These files can include prompts, skills, rules, MCP setup, and tool instructions.
Words used in this guide
- AIPM: a tool that installs and updates reusable AI instructions.
- Package: a named group of files that people can install and update together.
- MCP: a standard way for an AI tool to connect to other tools and information.
- CLI: a tool that you use by typing commands in a terminal.
What this means
The simple idea
Normal software teams use package managers to install code. AI teams also need reusable files, but the files are different. They are prompts, rules, skill files, examples, and setup notes. An AI package manager gives those files a clear install flow.
Why it matters
Without a package manager, people copy prompts from chat, paste rules by hand, and forget which version is current. That works for one person, but it breaks when a team grows.
How AIPM fits
AIPM gives you a registry and a CLI. You find a skill, run an install command, and AIPM writes the right files into the project.
Simple steps to create and AI agent
- Find a skill in the AIPM registry.
- Install the AIPM CLI.
- Run aipm init in your project.
- Run aipm add @scope/name@version.
- Open your AI tool and use the installed skill.
Where to go next
If you want to try this in a real project, start with the install guide, then read how to use AIPM. If you want to share your own workflow, read the publishing guide.
FAQ
Is an AI package manager the same as npm?
No. npm installs code packages. AIPM installs AI skill files, prompts, rules, and tool setup files.
Who should use an AI package manager?
Developers and teams who use AI tools in more than one project should use one. It helps keep setup repeatable.