behavioral-modes

You can switch AI operational modes manually to BRAINSTORM, IMPLEMENT, DEBUG, REVIEW, TEACH, or SHIP when starting a new task. This tailors the AI's behavior to optimize problem solving and task execution across planning, coding, and deployment contexts.

AI mode detection automatically identifies the best operational mode for a given task. It applies mode-detection rules to select the appropriate behavior for brainstorming, development, debugging, review, teaching, or deployment without requiring manual switching.

Multi-agent collaboration coordinates Explorer, Planner, Executor, and Critic roles to accelerate complex tasks. These roles work together within the operational modes to optimize problem solving and maintain safety during task execution.

Yes, behavioral modes support dedicated REVIEW and DEBUG modes tailored for code review and debugging workflows. These modes reduce ambiguity and improve results by adapting the AI's approach to the specific task context.

No dependencies are required to set up adaptive AI behavior modes. The skill operates independently to satisfy explicit mode behaviors, mode-detection rules, and multi-agent collaboration patterns while maintaining safety and ease of mode switching.

You should avoid automatic mode detection when explicit control over task execution is required. In such cases, manually switch to BRAINSTORM, IMPLEMENT, DEBUG, REVIEW, TEACH, or SHIP to ensure the AI applies the exact behavior needed for your specific context.