Anthropic’s Agent Skills introduce a smarter way for AI agents to load knowledge only when it’s needed. Using progressive disclosure, agents stay token-efficient while gaining powerful, domain-specific capabilities on demand.

In this episode, we explain how Agent Skills work, why they’re simpler than MCP, and how they turn general AI models into focused specialists—while raising important security questions around executable skills.

If you’re building or thinking about AI agents, this is a format you’ll want to understand. Powered by ideas from Anthropic.