CORE

AI agent skill routing uses a registry of available skills and a decision tree to intelligently direct tasks based on keywords and complexity. It selects the most appropriate skill to ensure accurate task execution.

You manage sequential and parallel skill execution by defining composition patterns within the routing engine. This orchestrates multiple skills, allowing them to run in sequence, in parallel, or conditionally to solve complex problems.

The best way to discover and delegate tasks is using a central skill registry that maintains an authoritative list of triggers and purposes. It facilitates skill discovery and delegates tasks to appropriate subagents.

Yes, you can use conditional skill execution to handle multi-step dependencies. The routing engine defines protocols for conditional execution, allowing task outputs to dynamically trigger the next necessary skill.

Progressive disclosure helps with AI task delegation by exposing skill capabilities and routing logic only as needed. This streamlines skill management, preventing information overload while ensuring accurate task routing.