oa-orchestration-delegate

AI task decomposition breaks down complex requests into smaller subtasks managed by a central orchestrator. This enables parallel worker orchestration, allowing multiple agents to execute subtasks concurrently for efficient autonomous task management.

Delegate complex tasks to an AI orchestrator by issuing the 'oa delegate' command. This automates task decomposition and spawns parallel worker agents to execute the resulting subtasks concurrently.

Yes, multi-agent orchestration is applicable for large codebase analysis. An AI orchestrator intelligently divides broad requests among several worker agents, with each focusing on different parts of the project or analysis types.

The best way to scale autonomous task management is using hierarchical task decomposition. This approach automatically breaks down complex requests into steps an orchestrator can manage, coordinating parallel workers for scalable processing.

No, you do not need to manually define subtasks. The orchestration Skill automates the decomposition of complex tasks into smaller subtasks, allowing the AI orchestrator to autonomously manage the parallel workers.