wave-execution

You can automate multi-phase plan execution by splitting complex tasks into parallel, dependency-ordered waves. This ensures correct task integration and efficient execution without manual intervention. It requires a detailed phase plan and context management to function properly.

A dependency-ordered wave is a parallel execution batch where independent tasks run simultaneously, while dependent tasks wait for their predecessors to finish. This structure optimizes speed and prevents conflicts during multi-phase workflow execution.

To execute a multi-phase plan in parallel waves, you first need a detailed phase plan generated by running a deep planning mode. The skill then processes this plan, automatically splitting tasks into waves based on their dependencies.

Yes, you can run complex development workflows in parallel without conflicts by using dependency ordering and validation gates. The system places synthesis and validation checks between waves to catch integration issues early.

Before automating multi-phase workflow execution, you need a detailed phase plan and proper context management. You generate this prerequisite plan by running a deep planning mode command prior to execution.

You should avoid using parallel waves for plan execution if your tasks are strictly sequential with no independent components, or if you lack a detailed phase plan. The system requires identifiable dependency boundaries to split tasks effectively.