Log meal entries with context and analyze patterns for health insights.
npx skills add https://github.com/cobuildwithus/murph --skill food-journal
Please help me install this Agent Skill. Skill: food-journal Source: https://github.com/cobuildwithus/murph/tree/main/packages/assistant-engine/skills/food-journal Command: npx skills add https://github.com/cobuildwithus/murph --skill food-journal
The food-journal skill helps users track meals and associated information for better health insights and pattern recognition.
Start a food journal entry for your last meal and add notes about how you felt after eating.
High-intent search queries and answers about installing and using this skill.
To track meals and identify dietary patterns, log food entries with contextual details like mood and location to analyze correlations between specific foods and digestion issues. The system identifies health patterns by evaluating your meal records and symptom logs.
Yes, you can log meals using text, photo, or voice notes to capture food intake and preserve context like time, location, mood, and activities. This contextual data enables accurate health pattern recognition without requiring calorie or macro tracking.
Yes, meal logging operates specifically without calorie or macro tracking, focusing instead on contextual factors like time, mood, and activities. The system identifies health patterns by analyzing relationships between food, digestion, symptoms, energy, and performance.
The best way to analyze correlations between food and energy levels is to log meals alongside context such as mood, activities, and symptoms. The system processes these entries to recognize patterns linking specific foods to your energy and performance.
To start a food journal entry with context, log your last meal and add notes about how you felt after eating, including details like time and location. This context preservation is essential for the system to find patterns between food and symptoms.
You should not use this food tracking journal for calorie counting or macronutrient tracking, as it explicitly omits these features. It is designed solely for logging meal context and recognizing patterns related to digestion, symptoms, and energy.
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