skill-iterative-loop

Automate iterative task execution by configuring a loop with a defined goal and maximum iterations. The loop runs per-iteration actions, evaluates progress, and exits safely once the goal is reached or the limit is hit.

Prevent infinite loops during polling and retry workflows by setting explicit exit conditions and maximum iterations. Built-in safety checks and self-regulation evaluate progress after each iteration to ensure the loop terminates safely.

Progress tracking in an iterative refinement loop evaluates task advancement after each iteration. It checks the measured progress against your defined goal to decide whether to continue executing or trigger the exit conditions.

You can use an iterative loop for convergence tasks in data processing, QA testing, and software development. It applies structured per-iteration actions to repeated measurements or polling until the desired quality gates are satisfied.

The max iterations constraint limits task automation by forcing the loop to exit even if the goal is unmet. This prevents infinite loops but means the desired convergence might not be achieved within the allocated execution budget.