recipe-nutrition-imputation

name	recipe-nutrition-imputation
description	Estimate structured per-serving nutritional information for recipes missing this data.

Recipe Nutrition Imputation Skill

This skill provides instructions for generating structured per-serving nutritional estimates for Mealie recipes that lack complete nutritional profiles.

Inputs

• name: The name of the recipe.
• description: A description of the dish.
• servings: The number of servings/yield of the recipe.
• ingredients: The raw or structured ingredients list.
• instructions: The step-by-step preparation and cooking instructions.

Workflow

1. Analyze Portions & Servings: Use the servings count (fallback to 4 if not specified) to calculate the nutritional values per single serving of the prepared dish.
2. Estimate Macro/Micro Nutrients: Based on the quantities and types of ingredients, estimate the following nutritional values per serving:
   • calories: Total energy (kcal, integer).
   • proteinContent: Protein (g, decimal or integer).
   • carbohydrateContent: Total carbohydrates (g, decimal or integer).
   • fatContent: Total fat (g, decimal or integer).
   • fiberContent: Dietary fiber (g, decimal or integer). Highly prioritize fiber-rich foods (beans, vegetables, whole grains).
   • sodiumContent: Sodium (mg, integer). Consider salt, soy sauce, stocks, etc.
   • sugarContent: Sugar (g, decimal or integer).
   • cholesterolContent: Cholesterol (mg, integer).
3. Ensure Nutritional Consistency:
   • Total calories should align with the estimated fat (9 kcal/g), carbohydrates (4 kcal/g), and protein (4 kcal/g).
   • Use realistic ingredient yields (e.g. green lentils are high in fiber and protein; olive oil adds fat; green leafy vegetables add small amounts of fiber/carbs).
4. Response Format:
   • Respond strictly in a single JSON object.
   • All values must be formatted as strings representing numbers (Mealie schema requirement).

Example Response Format

{
  "calories": "350",
  "proteinContent": "23",
  "carbohydrateContent": "48",
  "fatContent": "9",
  "fiberContent": "20",
  "sodiumContent": "650",
  "sugarContent": "5",
  "cholesterolContent": "0"
}