The article introduces SkillKit, an open-source package manager designed to streamline the use of various AI agents. It aggregates over 31 skill sources and supports 44 different agent formats, enhancing compatibility and user experience. Key features include local operation with no account required, persistent memory for learning, a 46-rule security scanner, and team workflow synchronization through a .skills manifest. This setup eliminates telemetry, giving users more control and privacy. SkillKit offers a significant advantage over simple installers by supporting a wider range of agents (44 versus a typical 1-17) and providing extensive skill translation capabilities. Users can browse over 15,000 skills organized into 12 categories, which improves accessibility and usability. The platform also allows for the creation of automated skill sequences, making it easier to execute complex tasks without manual intervention. The compatibility matrix is a standout feature, detailing how different AI agents interact with SkillKit's functionalities. Each agent's support for skill translation, hooks, security skills, and other tools is mapped out clearly. This matrix helps users identify which agents can leverage the full capabilities of SkillKit, ensuring they choose the right tools for their needs. Overall, SkillKit positions itself as a robust tool for developers looking to integrate and manage multiple AI agents efficiently.