Agent skills explained: An FAQ

Agent skills are an open, reusable format designed to enhance the functionality and accuracy of AI agents by providing them with packaged instructions, scripts, and resources that can be automatically accessed when needed. These skills address the limitations of agents, which often lack contextual understanding of team processes and standards, by centralizing expertise and enabling agents to execute complex, multi-step workflows more effectively. Skills are built on an open standard and can be installed once to be used across various agent platforms for tasks like coding, data analysis, and customer support. They integrate with other AI configuration tools like MCP servers and system prompts, offering a cohesive approach to managing agent behavior. By centralizing instructions and making them easy to version and share, skills ensure consistency in agent outputs and help teams improve workflows without relying on ad hoc prompts. Skill packages, which can include a SKILL.md file, scripts, and references, are modular, allowing teams to adopt specific capabilities without overhauling their entire processes, and they support the development of domain-specific expertise that can be applied to repeatable work patterns.