I went through this week's 20 trending open-source GitHub AI tools and repos expecting the usual mix: a new database, a flashy CLI, maybe a UI library with great screenshots. What I got was something stranger. Four separate repositories in the top 20 have "skills" in their name. Agent Skills. Flutter Agent Skills. Garden Skills. Skills for Real Engineers. Different authors, different teams, different use cases - but all of them attempting to solve the same underlying problem: how do you make AI agents consistently useful across different contexts? That's not coincidence. That's a pattern worth sitting with. The AI Skills Problem Nobody Wants to Admit Here's what happens when building with AI agents for more than a few weeks: the agent does great in demos. In production, it hallucinates, ignores context, and produces output that ranges from brilliant to embarrassing with no predictable pattern. Anyone who's shipped an agent in anger has hit this wall.…