meal-planning

Generate personalized weekly meal plans and categorized shopping lists.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/mzt-76/AI-nutrition --skill meal-planning
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meal-planning
Source: https://github.com/mzt-76/AI-nutrition/tree/main/skills/meal-planning
Command: npx skills add https://github.com/mzt-76/AI-nutrition --skill meal-planning

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, pydantic-core, supabase, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of personalized weekly meal plans and shopping lists, taking the guesswork out of healthy eating and grocery shopping.

Core Features & Use Cases

  • Personalized Meal Plans: Generates weekly meal plans tailored to your nutritional needs and preferences.
  • Recipe Generation: Creates custom recipes via LLM fallback when specific requests are made or when the recipe database is insufficient.
  • Shopping List Creation: Compiles aggregated, categorized shopping lists from your meal plans.
  • Use Case: A user wants to eat healthier and save time on meal preparation. They can ask the AI to generate a 7-day meal plan with specific calorie and protein targets, and then get a corresponding shopping list to buy all the necessary ingredients.

Quick Start

Generate a 7-day meal plan for the current week with a target of 2500 calories per day.

Frequently Asked Questions about meal-planning

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a personalized weekly meal plan with specific calorie targets?

To generate a personalized weekly meal plan, you provide your calorie and nutritional targets, and the system creates day-by-day plans scaled mathematically to meet those needs while validating against allergens.

Can I create custom recipes if my dietary needs are not in the database?

Yes, you can create custom recipes using the Claude Sonnet 4.5 LLM fallback, which activates when specific requests are made or the local recipe database lacks sufficient options for your dietary type.

How does meal planning handle shopping lists and ingredient aggregation?

Meal planning compiles categorized shopping lists by aggregating ingredients from your stored weekly meal plans, ensuring you can purchase all necessary groceries for your generated recipes.

Does this meal planning tool validate recipes for allergens and dietary restrictions?

Yes, the meal planning system validates generated portions and recipes against allergens, adapting the meal plans based on your specific user preferences and dietary types.

What is the best way to scale recipe portions for my nutritional needs?

The best way to scale recipe portions is using the system's mathematical scaling feature, which adjusts ingredients to match your calculated nutritional needs and target daily calories.

Do I need Supabase to run the meal planning system?

Yes, Supabase is a required dependency for the meal planning system, alongside Anthropic and Pydantic-core, to manage the local recipe database and LLM fallback integration.