What data sources does the Nutrition Analyzer use?

The skill reads structured JSON data from your repository, specifically looking for nutrition-tracker logs, fitness data, and health profiles to provide comprehensive analysis.

Does it provide specific food recommendations?

Yes, it generates personalized suggestions for food substitutions and meal timing based on your specific nutrient gaps and health goals.

Can it analyze correlations between diet and sleep?

Yes, it supports multi-dimensional correlation analysis, allowing you to see how factors like caffeine or late-night meals affect your recorded sleep quality.

Are the nutritional standards up to date?

The skill uses evidence-based standards including DRIs (Dietary Reference Intakes) and RDAs (Recommended Dietary Allowances) for its assessment algorithms.

Nutrition Analyzer

Name: Nutrition Analyzer
Author: sickn33

bysickn33

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31,721

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데이터 과학 및 ML

Analyzes complex dietary data to provide evidence-based nutritional insights, RDA assessments, and personalized health recommendations.

The Nutrition Analyzer skill transforms Claude into a sophisticated dietary consultant capable of processing multi-dimensional health data. It evaluates macronutrient and micronutrient intake against RDA/AI standards, identifies long-term nutritional trends, and calculates advanced metrics like nutrient density and Healthy Eating Index (HEI) scores. Beyond simple logging, this skill performs correlation analyses between nutrition and other biometric factors such as sleep quality, exercise performance, and chronic disease markers, making it an invaluable tool for data-driven wellness management.

주요 기능

01Multi-variable correlation between nutrition and metrics like blood pressure, sleep, and weight

02Comprehensive nutrient assessment against RDA/AI standards for vitamins, minerals, and macros

0331,721 GitHub stars

04Longitudinal trend analysis using linear regression and moving averages

05Automated nutritional density and health index scoring (HEI-2015 based)

06Evidence-based personalized dietary improvement plans and food substitution logic

사용 사례

01Identifying chronic micronutrient deficiencies by analyzing months of dietary logs

02Optimizing athletic performance by correlating protein intake timing with exercise recovery data

03Managing dietary compliance for health conditions like hypertension using DASH diet tracking

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sickn33/antigravity-awesome-skills nutrition-analyzer

For use in Claude.ai and ChatGPT

주요 기능

01Multi-variable correlation between nutrition and metrics like blood pressure, sleep, and weight

02Comprehensive nutrient assessment against RDA/AI standards for vitamins, minerals, and macros

0331,721 GitHub stars

04Longitudinal trend analysis using linear regression and moving averages

05Automated nutritional density and health index scoring (HEI-2015 based)

06Evidence-based personalized dietary improvement plans and food substitution logic

사용 사례

01Identifying chronic micronutrient deficiencies by analyzing months of dietary logs

02Optimizing athletic performance by correlating protein intake timing with exercise recovery data

03Managing dietary compliance for health conditions like hypertension using DASH diet tracking