behavioral-modes

To adapt AI behavior, you select a specific operational mode like brainstorm, implement, debug, or review to align the AI's strategy with the task. This ensures the AI applies the appropriate depth and approach for each specific workflow requirement.

Effort calibration maps AI requests to Instant, Light, Deep, or Exhaustive levels to allocate resources precisely. You need it to prevent overprocessing simple typos while ensuring complex architectural designs receive thorough, exhaustive investigation.

You set the AI to implement mode by invoking the behavioral-modes skill with the implement parameter for new features. This configures the AI to focus on code creation and modification while adhering to minimal mutation hygiene principles.

Yes, this AI workflow strategy enforces strategic hygiene principles including minimal mutation, lazy reading, and CLI first. These practices ensure the AI modifies existing code conservatively and reads only necessary files to maintain efficient workflow management.

The best way to handle a complex bug report is activating debug mode with Deep effort. This configuration directs the AI to conduct thorough investigations and resolve issues systematically rather than applying quick surface-level patches.

Yes, you can use orchestrate mode to manage complex architectural designs and strategy. This mode coordinates multiple AI actions and effort levels, ensuring comprehensive task management across interconnected software engineering components.