You've seen this before.

You ask your AI agent: "Find ∫ x·e^x dx"

It confidently replies: e^x + C, complete with a plausible-looking derivation. You nod. Then you check — the correct answer is (x−1)·e^x + C. It was wrong by a mile, and you almost shipped it.

This is the fundamental problem with AI math today: LLMs can talk, but they can't verify their own work. They sound convincing while being catastrophically wrong. And the more complex the problem, the better the hallucination.

Math.skill changes that. It's an open-source mathematical reasoning skill for AI agents — install it, and your agent stops guessing and starts verifying.