behavioral-modes

Optimizing AI task execution involves switching behavioral modes tailored to specific phases like coding and debugging. This skill provides a catalog of operational modes with clear switching rules to ensure predictable AI actions and improve development outcomes.

The best way to switch AI behavior is by using explicit user commands or mode-detection prompts. This skill applies specific behavior guidelines and output formats for planning and implementation tasks, ensuring the AI adopts the correct operational context.

Yes, you can use a single AI configuration by applying mode switching. This skill enables the AI to switch between brainstorm, review, and ship modes, applying tailored behaviors and outputs without needing separate configurations for each task.

To start a new feature, switch the AI to BRAINSTORM mode to generate multiple solution approaches. Once a design is selected, explicitly switch to IMPLEMENT mode to code a production-ready solution based on the chosen approach.

Unpredictable AI responses during code review and debugging often occur when behavioral modes are not applied. This skill enforces specific output formats and behavior guidelines for review and debug tasks to ensure consistent, focused results.

No specific dependencies are required to manage AI behaviors with mode switching. This skill operates independently by applying mode-detection prompts and switching rules defined in its configuration to guide task execution.