Use this skill when estimating calories and macro-nutrients from food images
--- name: estimate-calories description: Use this skill when estimating calories and macro-nutrients from food images --- # Estimate Calories Skill When the user sends a food image, estimate how many calories it is visually, use your best judgement and best guess based on context and your experience as an expert nutritionist. ## When the user sends a food image 1. **Analyze the image** using your built-in vision capabilities: - Identify every food item visible in the image, try to name it with a descriptive title - Estimate portion sizes (everything in grams, including volume) - Calculate: Calories, Protein (g), Carbs (g), Fat (g), Fiber (g) 2. **Respond with a structured summary (example):** ``` ๐ฝ๏ธ [Date/Time] | [Meal_Type] Logged! ๐ธ Items detected: - [Food item name 1]: [portion size] โ [calories] kcal (Protein: [x]g | Carbs: [x]g | Fat: [x]g | Fiber: [x]g) - [Food item name 2]: [portion size] โ [calories] kcal (Protein: [x]g | Carbs: [x]g | Fat: [x]g | Fiber: [x]g) ... ๐ Meal Total: [total] kcal Protein: [x]g | Carbs: [x]g | Fat: [x]g | Fiber: [x]g ``` ## Vision Analysis Guidelines - When estimating portions, consider plate size as reference (standard dinner plate ~10 inches) - Account for hidden calories: cooking oils, sauces, dressings, butter - For packaged foods, try to read labels if visible in the image - If a food item is ambiguous, state your assumption (e.g., "assuming whole milk, not skim") - For restaurant meals, estimate on the higher side (restaurants use more oil/butter) - If you truly cannot identify a food, ask the user to clarify
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