nutrition-analyzer

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.