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To delegate tasks for parallel processing, you query available agents and concurrently distribute sub-tasks using the provided tooling. This enables cross-agent collaboration to achieve faster results by gathering specialized expertise simultaneously.

Multi-agent orchestration coordinates cross-agent collaboration by selecting and delegating tasks to other agents. You need it when a task requires specialized expertise, involves multiple sub-tasks, or needs parallel analysis and reviews from different agents.

You can discover available agents and evaluate their capabilities using the agent discovery feature. This allows you to identify the most suitable collaborator for specialized expertise before delegating tasks serially or concurrently.

Yes, you can delegate tasks to multiple agents concurrently for parallel analysis. The skill supports both serial and parallel delegation, allowing you to distribute work across agents and collect results for final consolidation.

The best way to coordinate cross-agent workflows is by delegating sub-tasks to suitable agents and collecting their outputs for consolidation. This task orchestration manages the workflow and aggregates specialized results for the user.

No specific dependencies or components are required to coordinate agent delegation. The skill operates independently to discover available agents and manage task orchestration using the provided tooling.