user-profile-interview

A user profile interview personalizes your AI assistant by conducting a conversational onboarding to gather your identity, communication preferences, and life goals, then updating configuration files to tailor the agent's behavior accordingly.

Onboarding and personalizing an AI agent requires information like your identity, how you prefer to be addressed, your life goals, and your specific agent interaction settings to effectively customize the assistant's responses.

User profile configuration updates agent system files by writing your interview responses directly into USER.md and AGENT.md files, ensuring the assistant reads and applies your preferences across all future interactions.

Yes, you can use a conversational interview to set communication preferences, as the skill asks targeted questions during onboarding to capture how you want the agent to interact and then saves these settings.

The best way to align AI assistant tasks with your life goals is through a personalization interview that captures your objectives and writes them to the agent configuration files, enabling the assistant to suggest relevant tasks.

No dependencies are required to configure user preferences, as the skill operates independently using built-in file operations to read and edit the necessary agent system files like USER.md and AGENT.md.