Barry Zhang

This talk proposes a shift from building standalone AI agents to developing modular "skills" that agents can utilize. The core argument is that while agents possess intelligence, they often lack the specific domain expertise required for real-world tasks. Skills, defined as organized collections of files containing procedural knowledge and tools, offer a more composable and expertise-driven approach to enhancing agent capabilities. This paradigm aims to make AI more accessible and adaptable by packaging expertise into shareable units.