delegate-task

You can delegate subtasks to specialized AI agents by configuring an orchestrator agent to assign work based on specific domain expertise. This multi-agent collaboration enables parallel task execution and allows each agent to use specialized models, tools, and system prompts.

Multi-agent orchestration is the process of an orchestrator agent assigning subtasks to specialized AI agents. You need it for complex workflows requiring diverse AI capabilities, such as when a project manager delegates research, code implementation, and code review to distinct agents simultaneously.

Yes, you can run multiple AI agent delegations concurrently to improve efficiency. The skill supports parallel task execution, allowing an orchestrator to assign and monitor separate subtasks to specialized agents at the same time.

You can nest delegations up to five levels deep when orchestrating multiple AI agents. The system includes robust error handling for agent not found errors, timeouts, and chain depth limits to manage nested workflows safely.

You configure specialized AI agents by defining their specific models, tools, and system prompts before delegation. This specialization allows the orchestrator to assign tasks to agents optimized for specific domains like research, coding, or review.

If an AI agent is not found or times out during task delegation, the system triggers robust error handling mechanisms. It safely manages these failures along with chain depth exceptions to prevent workflow breakdown during nested operations.