Anthropic has introduced the concept of agent skills, which are essentially folders containing a SKILL.md file and associated resources that allow agents to perform tasks more effectively by dynamically loading necessary information. This approach has been integrated into the deepagents-CLI, an open-source coding assistant, which allows agents to utilize a collection of public skills by accessing the local filesystem. Generalist agents like Claude Code and Manus demonstrate that with access to basic computing tools like bash and filesystem operations, they can accomplish a wide range of tasks with minimal tools. The skills approach offers two main advantages over traditional methods: it improves token efficiency by loading only necessary information when required, and it reduces cognitive load by simplifying the toolset needed for task execution. Additionally, skills facilitate continuous learning as agents can develop and share new skills, enhancing their ability to adapt to novel tasks.