run-parallel-agents-feature-build

You can run parallel agents to build independent features faster by using a task orchestration skill that concurrently executes specialized agents on unrelated modules, matching each task to the appropriate expert based on the technology stack.

The best way to orchestrate specialized agents for module building is to route independent tasks to expert agents concurrently, preparing detailed briefs with scope, files, output, and success criteria for each agent before execution.

Yes, you can execute multiple unrelated feature development tasks concurrently without shared state by using an orchestration approach that ensures independent execution and aggregates the results without dependencies between the agents.

Yes, parallel agent execution works efficiently for building groups of three or more independent modules, matching each technology stack to an appropriate expert agent to maximize development speed through concurrent task processing.

To monitor and aggregate results from specialized agents running in parallel, the orchestration skill collects outputs from all concurrent agents and aggregates them while ensuring quality, consistency, and adherence to the predefined success criteria.

You should avoid using parallel execution for feature development when tasks have shared dependencies or require shared state, as this orchestration approach requires completely independent features, modules, or investigations to function correctly.