Agent skills are modular, filesystem-packaged folders containing instructions, scripts, and assets that let AI agents load only the knowledge required for a specific task, avoiding context bloat through progressive disclosure.
Anthropic's Claude Code framework defines five skill categories: data fetching, business automation, code quality, verification, and incident runbooks. The design philosophy mandates small skill bodies, explicit gotchas, and precise trigger language. Skill Creator extends this with benchmarking and auto-description tuning to keep triggers reliable as underlying models change, and it separates capability uplifts from encoded-preference workflows, a distinction that matters operationally.
The full video is worth watching for the specifics on how trigger reliability degrades across model updates and how benchmarking is used to catch that drift before it breaks production agents.
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