Skills Manager is an open-source desktop application designed to centralize the management and sharing of AI agent skills across a wide range of coding agents. It addresses the challenge of fragmented skill management by providing a unified interface where users can install, enable, disable, and transfer skills between agents such as Claude Code, Cursor, Windsurf, GitHub Copilot, Gemini CLI, Goose, OpenAI Codex, OpenCode, Kilo Code, Trae, and Antigravity.
The platform allows users to view all installed skills for their agents in a single location, eliminating the need to manually search through configuration directories. Skills Manager supports installation of skills directly from GitHub by accepting any repository URL, and it is compatible with both public repositories and custom registries. Users can copy skills between supported agents quickly, without the need for manual file copying or path adjustments. Additionally, the ability to enable or disable skills without deleting them makes it easier to experiment with different setups and roll back changes as needed.
Skills Manager is available for Windows and Linux, with a Mac version planned for future release. It is distributed under the MIT license and does not require users to create an account. The source code is publicly accessible, reflecting its open-source nature. The tool is developed by Zunalabs and encourages user feedback and community engagement through channels such as Discord and GitHub.
By offering a centralized solution for managing AI agent skills, Skills Manager streamlines workflows for users working with multiple coding agents and reduces the time spent on manual setup and configuration.
In the CLI tools & terminal space, Skills Manager takes a focused approach. Developers face difficulty managing and sharing AI agent skills across multiple coding agents. Skills Manager is an open-source project aimed at developers using AI coding agents. Skills Manager is open source under the MIT license. It runs on the web, Windows, Linux, and the command line, and it can be self-hosted.
It is developed by idoevergreen, and it first shipped in 2026. The project is developed in the open on GitHub with 62 stars and 1 commit in the last 90 days. Key capabilities include skill installation, agent integration, and unified view.
Summary written by a language model from the project’s public pages.
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