orchestrator

AI agent task orchestration is the process of routing requests to specialized skills based on complexity and risk. You need it when coordinating multi-skill workflows to prevent conflicts, ensure proper execution order, and manage task planning across multiple agents.

You coordinate multiple AI agents by applying task routing logic that classifies complexity, selects appropriate skills, and sequences them into an ordered workflow. This prevents overlapping responsibilities and ensures execution happens in the correct sequence.

To prevent skill conflicts in multi-step AI workflows, use execution planning that evaluates task complexity and risk to order specialized skills without overlapping responsibilities. This ensures each skill activates at the correct stage of task completion.

The best way to plan a complex software migration is using task orchestration to coordinate analysis, risk evaluation, execution, and verification skills in the correct sequence. This approach routes each migration phase to the appropriate specialized skill.

Yes, task routing logic coordinates specialized skills both before and after task completion. It selects, sequences, and manages skill workflows by evaluating execution requirements, ensuring proper coordination throughout the entire AI agent workflow lifecycle.