This skill helps you build autonomous agent loops that run continuously. These loops include quality gates to check work, evals to measure performance, and recovery controls when something goes wrong. You can use it for tasks like code reviews, document generation, or any workflow that needs a smart, self-correcting agent.
The pattern suggests starting with a clear plan like RFC decomposition, then adding quality checks, evaluation loops, and session persistence. This stack helps you avoid common problems like wasted effort, repeated failures, or rising costs. When a loop fails, you freeze it, run an audit, reduce the task scope, and replay with clear goals.
Anyone building AI agents for production systems will find this skill useful. It turns a simple loop into a controlled, reliable process.
Global
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