AI Agent Hub
Back to skills
Healthy Diet Management icon

Healthy Diet Management

Life Service Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md to install @user_1d2fe5bd/zzzz.

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 kcal target 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