setup-goals

To personalize AI interactions, you can define your role, short-term goals, long-term vision, and work preferences. This user context is collected during onboarding and stored in configuration files to tailor future AI prompts and session loading.

The best way to define your role and work preferences for AI onboarding is through a guided setup process. This structured workflow proactively prompts you for your goals and preferences, ensuring the AI adapts to your specific context.

Storing user preferences in user-config.yaml and goals.md improves AI sessions by ensuring consistent context across interactions. The AI loads this stored configuration at the start of every session to adapt prompts accordingly.

Yes, you can update your goals and work preferences after onboarding. The personalization skill applies generally, allowing you to redefine your role and short-term goals anytime to adjust the AI's ongoing context loading.

Your AI assistant needs your long-term vision and role for context loading to accurately adapt its prompts and interactions. Storing this user context ensures the AI aligns its responses with your specific work preferences and goals.

No specific prerequisites are needed to start defining your goals and preferences. You can initiate the guided personalization workflow directly to collect your user context and store it for ongoing AI session adaptation.