subagent-orchestrator

To execute complex tasks in parallel, you divide them into independent sub-tasks and spawn subagents to handle each one concurrently. This skill manages the parallel processing and aggregates the results to reduce overall execution time.

Dependency management automatically resolves dependencies between divided sub-tasks during parallel task execution. This ensures that subagents execute in the correct order and have the required outputs from preceding tasks before starting.

Yes, you can dynamically modify or add tasks during mid-run execution. This feature allows you to update instructions and steer subagents while the parallel processing is still active, accommodating changing project requirements.

The best way to aggregate results from multiple subagents is to use an orchestration skill that combines their independent outputs into a single, cohesive result. This ensures coordinated task completion and a unified final deliverable.

Yes, parallel subagent orchestration requires task decomposition as an initial step. You must break down the complex software project into independent sub-tasks so the system can spawn subagents and manage their dependencies automatically.