What problem does it solve? Generic food advice ignores individual allergies, dietary restrictions, and health goals, forcing users to repeat their constraints in every conversation. This Skill stores user food preferences in a persistent JSON database so every meal suggestion, recipe, and nutrition answer is automatically tailored to the individual. ## Core Features & Use Cases - Persistent Preference Database: Stores goals, allergies, dietary restrictions, dislikes, cuisine preferences, health conditions, and cooking skill in a JSON file at ~/.claude/nutritional_preferences.json. - Guided First-Run Setup: Collects comprehensive dietary information conversationally on first use and saves it via the preferences_manager.py script. - Personalized Recommendations: Loads stored preferences before every food-related response to respect allergies, align with restrictions, and support stated goals. - Use Case: A vegan user with a nut allergy and a weight-loss goal asks for lunch ideas and receives plant-based, nut-free, calorie-conscious Mediterranean suggestions without restating any constraints. ## Quick Start Ask for a personalized meal suggestion, such as requesting a healthy dinner recipe, and answer the preference questions when prompted.
