Query Food Nutrition Data
A nutrition database query skill that retrieves detailed nutritional data for 50 common foods, compares foods, calculates meal nutrition, and recommends foods
Why it matters
Access and analyze detailed nutritional information for a wide variety of foods. This asset enables precise queries, comparisons, and recommendations based on structured food data.
Outcomes
What it gets done
Retrieve nutritional data for specific foods by name.
Compare nutritional profiles between different food items.
Recommend foods based on specific nutritional criteria or health goals.
Calculate nutritional content for custom food portions.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-food-database-query | bash Capabilities
What this skill does
Writes and executes SQL or NoSQL queries on databases.
Pulls structured data fields from unstructured text.
Labels or categorizes text, files, or data points.
Condenses long documents or threads into key takeaways.
Searches the web and retrieves relevant sources.
Overview
食物数据库查询技能
What it does
This skill provides programmatic access to a structured nutrition database containing 50 common foods. Each food entry includes comprehensive nutritional data: macronutrients (calories, protein, carbohydrates, fat, fiber), micronutrients (vitamins and minerals), special nutrients (omega-3/6, choline), and glycemic index values. The skill supports exact and fuzzy name matching, multi-food comparison, portion conversion, and nutrient-based search with configurable thresholds. Users can query by food name, search by nutritional criteria, browse by category, and calculate combined nutrition for mu
How it connects
Use this skill when you need to retrieve structured nutritional data for specific foods, compare nutritional profiles between foods, calculate total nutrition for meals or recipes, or find foods matching specific nutrient criteria. It is designed for tasks requiring precise nutritional information from a database rather than general dietary advice. Ideal for meal planning, nutritional analysis, food substitution research, and building nutrition-aware applications.
Discussion
Questions & comments · 0
Sign In Sign in to leave a comment.