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Parallel agent teams execute multiple agents simultaneously to perform parallel code review and analysis, gathering diverse perspectives. You can use predefined teams or custom compositions to coordinate tasks and ensure comprehensive coverage of complex workflows.

Parallel processing for agent teams simultaneously runs multiple agents on the same task to provide diverse viewpoints and coverage. This approach is suitable for complex analysis workflows requiring multiple viewpoints, enabling comprehensive information gathering and parallel task execution.

Yes, you can create custom agent teams by invoking individual agents in the same message or using coordination skills for task coordination. This allows you to build tailored compositions for specific parallel analysis requirements beyond predefined teams.

To start parallel analysis, invoke the predefined quality team using the team command syntax on your codebase. This simultaneously runs multiple agents to analyze your codebase for quality issues, providing diverse perspectives and coverage in one execution.

Yes, parallel agent execution supports architecture evaluation and information gathering through team-based execution. Predefined teams are available for these specific tasks, allowing you to simultaneously gather information, plan, and review code for a well-rounded approach.

Use parallel agent teams when working on complex projects requiring multiple viewpoints and comprehensive coverage. Running multiple agents simultaneously ensures a well-rounded approach for tasks like code review, information gathering, and architecture evaluation that a single agent cannot adequately cover.