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nutrition-analyzer

Analyzes dietary intake data to identify patterns and generate personalized nutrition recommendations.

919|121|Updated Dec 31, 2025
Search Tags:#data-analysis#nutrition-analysis#diet-tracking#nutrient-density#RDA#personalized-nutrition
One-click install
npx skills add https://github.com/huifer/WellAlly-health --skill nutrition-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nutrition-analyzer
Source: https://github.com/huifer/WellAlly-health/tree/main/.claude/skills/nutrition-analyzer
Command: npx skills add https://github.com/huifer/WellAlly-health --skill nutrition-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users analyze diet and nutrition data to identify patterns, assess adequacy, and generate personalized guidance, reducing manual effort and supporting healthier choices.

Core Features & Use Cases

  • Nutritional trend analysis: track macro- and micronutrient intake over time, detect improvements or areas of concern.
  • Nutrient adequacy evaluation: compare intake against RDAs/AI, flag gaps or excesses with actionable recommendations.
  • Nutrition status and pattern recognition: rate overall nutritional quality, identify dietary patterns and risk factors.
  • Correlation analyses: explore relationships between nutrition, activity, sleep, blood pressure, and glucose.
  • Personalized guidance: generate tailored dietary tips, food choices, and habit recommendations based on user data.
  • Use Case: For example, a user tracking protein and fiber over 3 months receives targeted tips to boost fiber intake while maintaining protein levels.

Quick Start

Provide your nutrition data (e.g., from data-example/nutrition-tracker.json and daily logs) and request a 90-day trend analysis for macro- and micronutrients, with personalized recommendations.

Frequently Asked Questions about nutrition-analyzer

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

FAQPage Schema
How do I analyze dietary intake data to identify nutrition patterns?▼

To analyze dietary intake data, this Skill processes longitudinal nutrition records and daily logs to identify patterns, calculate RDA achievement, and generate personalized nutrition recommendations. It detects macro- and micronutrient trends over time.

Can I evaluate my nutrient intake against RDA guidelines?▼

Yes, you can evaluate nutrient intake against RDA guidelines. The Skill compares your dietary data against DRIs and standard nutrition guidelines to flag nutritional gaps or excesses, providing actionable recommendations to address them.

How do I calculate nutrient density scores from daily diet logs?▼

You can calculate nutrient density scores by providing daily diet logs to the Skill. It applies internal scoring algorithms to rate overall nutritional quality and identify dietary patterns, risk factors, and areas for improvement.

Does nutrition analysis work with sleep and fitness tracking data?▼

Nutrition analysis works with sleep and fitness tracking data by running correlation analyses. The Skill explores relationships between your nutrition intake, daily activity, sleep, blood pressure, and glucose metrics to support holistic health management.

What is the best way to generate personalized nutrition recommendations from food logs?▼

The best way to generate personalized nutrition recommendations is to provide your food logs and request a trend analysis. The Skill processes your dietary data to deliver tailored dietary tips, food choices, and habit recommendations.

Do I need a specific data format to track longitudinal nutrition records?▼

You do not need a specific rigid data format, but providing structured longitudinal nutrition records like JSON daily logs yields the best results. The Skill processes standard dietary intake data to support chronic disease management and nutrition planning.

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