What problem does it solve? New conversations start with no context about who the user is, forcing repeated explanations of preferences, environment, and constraints. This Skill guides the agent through a structured onboarding interview and stores the answers in persistent user memory so future sessions are personalized from the start. ## Core Features & Use Cases - Guided Preference Collection: Step-by-step procedure to ask for the user's name, interests, environment, and core rules using the clarify tool. - Persistent Memory Storage: Saves each answer with the memory tool using target='user' so preferences survive across sessions. - Ongoing Preference Handling: Treats mid-conversation style or workflow preferences as signals to update the governing skill's SKILL.md, not just memory. - Use Case: A user says "remember to note the model type at the bottom of every response" — the agent saves it to memory and embeds the rule into the relevant response-formatting skill. ## Quick Start Ask the agent to set up your user profile and remember your name, interests, environment, and any rules it should always follow.