Paks serves as a package manager dedicated to AI agent skills, enabling users to publish, discover, and install reusable capabilities that enhance various AI coding agents. It is designed for those developing or extending the functionality of agents such as Claude Code, Cursor, Copilot, Codex, Windsurf, Gemini CLI, Amp, and several others. The platform centralizes the management of agent skills, supporting workflows that include creating, sharing, and integrating specialized knowledge, coding standards, workflows, and tool integrations as modular skills.
The tool is built around a command-line interface, offering features for searching, validating, and managing skills. Users can browse a community-driven catalog of skills, install them to extend agent functionality, or publish their own skills for others to use. Skills adhere to the Agent Skills specification, which ensures compatibility across a wide range of supported AI agents. Semantic versioning is implemented for skills, allowing users to track updates, manage dependencies, and iterate on skill development safely.
Paks is delivered as a CLI-first toolkit and is also available via API, targeting developers and teams who want to package and reuse best practices or domain expertise within AI agent workflows. 0 License. It is developed and maintained by Stakpak, with documentation and community resources available through GitHub. This approach positions Paks as a tool for managing and sharing AI agent skills across different environments and teams.
Paks is a Frameworks & runtimes project. Managing, sharing, and installing reusable skills for AI coding agents efficiently. It is built as an open-source project for AI agent developers. Paks is open source under the Apache-2.0 license. It runs on the command line and API, and it can be self-hosted.
Behind Paks is Stakpak, and it first shipped in 2024. Development happens publicly on GitHub with 1.6k stars and 251 commits in the last 90 days. Among its 5 catalogued features are skill discovery, skill publishing, and agent integration. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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