work

Automate parallel task execution by forming and managing parallel agent teams that handle task decomposition, agent role assignment, and progress tracking for complex development workflows.

File ownership arbitration prevents conflicts by assigning exclusive ownership of specific files to individual agents, allowing multiple agents to work concurrently and safely on the same project.

Yes, dynamic team formation assembles an appropriate agent team based on the scale and nature of the work, allowing one agent to handle UI tasks and another to handle API tasks concurrently.

Yes, you must have experimental agent team features enabled to orchestrate parallel execution, as the Skill relies on these capabilities to form and manage agent teams.

The best way to start orchestrating an implementation plan is to use the Skill to execute the implementation plan defined in the 'work-pre' output, which handles the complex setup automatically.

Task decomposition is limited by the requirement of experimental agent team features and the need to clearly define independent file ownership boundaries to prevent conflicts during concurrent execution.