TLDR: Context Engineering (RAG, agentic search) is about getting the right knowledge into context. That's mostly solved now. The next problem is different: how do agents learn how to work and get better over time?
Skills are the mechanism. Once a task becomes a Skill, you don't do it anymore—the agent does. You move up. When your new work becomes a Skill, cycle repeats. Both you and the agent keep compounding.
Curious what others are seeing.