Continuous Agent Loop

The Continuous Agent Loop skill provides a sophisticated framework for managing long-running AI agent tasks within Claude Code. It implements a canonical selection logic that automatically determines the best execution pattern—whether that requires strict PR control, RFC-based decomposition, or parallel generation—to ensure high-quality outputs. By integrating session persistence and evaluation harnesses, it effectively mitigates common AI agent issues like loop churn, cost drift, and merge stalls, offering a production-grade environment for truly autonomous development.

主要功能

使用场景