Loop Design + Review Premise. An LLM is a feed-forward system: prompt in → tokens out, with no built-in "steer toward the goal" across turns. To make it behave like a goal-oriented system, you wrap a feedback loop around it. This skill helps you write that loop correctly and review it so it won't run away. When to use / not Use it when: - You want to hand a repeating task to an agent that runs over and over (write→test, test→fix, fix→verify…). - You already have a loop and worry it spins, cheats, or runs a wrong answer to completion. Don't use it for: - A one-off task → just do it; don't wrap…