The next leap in agent engineering is not bigger models. It's reusable skills.
Today, many agents repeatedly spend tokens rediscovering the same workflow every time a task appears. Whether it's code reviews, incident analysis, documentation generation, or research tasks, the agent often re-plans work it has already solved before.
This talk explores how agent skills are emerging as reusable workflow primitives that package expertise, decision-making patterns, and execution steps into portable capabilities. Instead of relying on increasingly large prompts, teams can teach agents repeatable workflows once and reuse them across tasks, products, and environments.
Key Takeaways
- Why prompts don't scale for repetitive work - Skills as reusable workflow contracts - Reducing token consumption through workflow reuse - How skills and MCP work together - Building self-improving agent systems
