looper

Design agent workflows by defining explicit goals, verification criteria, and termination conditions in a loop.yaml file. This approach validates loop structure and behavior through built-in best-practice rubrics before any automated execution begins.

A cross-model review council incorporates feedback from multiple models to ensure agent loop validity. This mechanism targets Claude Code users building iterative workflows by providing structured design feedback before execution.

Yes, Claude Code users can build self-review loops and multi-model council-based processes. You can design automated code review workflows involving multiple reviewers to ensure comprehensive checks before merging code into the main branch.

Yes, PyYAML is required because loop specifications are defined using a loop.yaml file. This portable specification file structures loop behavior and can be executed across various environments.

The best way to validate agent loop design is to use guided coaching with best-practice rubrics and a cross-model review council. This eliminates guesswork by providing structured feedback on your loop before any automated execution begins.

Pre-execution loop validation targets complex sequences of automated steps. If your workflow involves simple, linear tasks without iterative self-review or multi-model feedback, this structured validation overhead is unnecessary.