behavioral-modes

Mode switching aligns AI behavior with your specific task by applying explicit mode definitions and trigger mappings. It ensures deterministic mode selection across brainstorming, coding, testing, and deployment workflows for safe automation.

The available operational modes are brainstorm, implement, debug, review, teach, ship, and orchestrate. Each mode enforces specific behavior guidelines and trigger mappings to align AI actions with your current development or design workflow.

Use mode-switching when your workflow spans multiple phases like ideation, development, evaluation, and release. It provides structured behavior guidelines and explicit trigger mappings that standard AI assistants lack for deterministic task-aligned behavior.

Yes, these operational modes support product design and evaluation workflows. They dynamically align AI actions with task types and goals across ideation, coding, testing, and deployment scenarios.

No specific dependencies are required to enable dynamic mode switching. The skill operates independently, enforcing explicit mode definitions, trigger mappings, and safe automation for AI copilots and code assistants without external components.

Explicit mode selection improves safe automation by enforcing deterministic behavior guidelines during deployment. The ship and orchestrate modes align AI actions with release workflows to ensure task-appropriate interaction patterns and reduce errors.