Healthy Diet Management
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About this skill
Problem Solved
When users ask what to eat today or how to structure fat-loss meals, generic replies often miss actionable parameters: calorie target, meal ratios, and macronutrient sources. This skill turns dietary advice into reusable rules so the model can produce more consistent daily meal plans.
How It Works
- Daily dietary guidance: estimates a
kcaltarget from age, sex, height, weight, and activity level, using reference ranges for sedentary or active adults. - Meal-ratio planning: splits intake into breakfast 25%-30%, lunch 35%-40%, dinner 25%-30%, and optional snacks 5%-10%.
- Macronutrient guidance: recommends sources within carbohydrate 45%-65%, protein 10%-20%, and fat 20%-30%, such as whole grains, chicken breast, olive oil, and dark vegetables.
- Scenario-based output: covers general eating, fat-loss, and muscle-gain plans, including total calories, meal ideas, nutrition notes, and hydration reminders.
Boundaries
The skill provides dietary reference only and cannot replace diagnosis by a doctor or dietitian. Pregnant users, people with diabetes, and allergy-prone users should adjust plans under professional guidance. Change habits gradually and avoid extreme restriction or binge eating.
Use Cases
- Generate breakfast, lunch, and dinner ideas within a sedentary adult calorie range when asked what to eat today.
- Create a one-week fat-loss meal list using basal metabolism multiplied by 1.2 and high-protein, low-fat rules.
- Design pre- and post-training snacks for muscle gain using 1.6-2g protein per kilogram of body weight.
- Recommend food sources for dietary planning using 45%-65% carbohydrates and 10%-20% protein.
Best For
- Fat-loss users who want to structure three meals by calorie and protein targets
- Fitness users who need pre- and post-training snack guidance for muscle gain
- Nutrition content editors who want structured dietary recommendations
- Customer support or assistant operations teams who generate daily meal suggestions for users
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