dispatching-parallel-agents

Dispatching independent tasks in parallel assigns each separate deliverable to a focused agent, executing them concurrently without shared state to accelerate project work. You then collect, verify, and integrate the results.

Use parallel task dispatch when you have 3 or more completely independent tasks that require no shared state and need no cross-task coordination, such as summarizing multiple documents or investigating unrelated failures.

Parallel agent orchestration handles results by reading, verifying, and integrating the outputs after parallel execution. It enforces creating focused agent prompts for each task and consolidating the independent outputs.

Yes, you can use parallel agents to analyze separate codebases simultaneously. This skill is designed for scenarios like analyzing separate codebases or implementing independent features by dispatching them to separate agents.

The main limitation of dispatching tasks to parallel agents is that tasks must be completely independent. It targets 3+ tasks that require no shared state and can be executed without cross-task coordination.

The best way to orchestrate concurrent agents for independent deliverables is creating one focused agent task per deliverable, dispatching them in parallel, and then verifying and integrating the collected results.