Skill UI

This skill provides comprehensive functionality for querying, comparing, and calculating nutritional data from a structured food database. Users can perform precise searches by food name or nutritional criteria (e.g., high protein, low GI). It supports calculating total nutrient intake based on specific portions, suggesting foods for various health conditions (like diabetes or high blood pressure), and performing detailed comparative analysis between multiple food items.

This comprehensive tool helps users set, track, and optimize personal health goals using deep data analysis. It validates goals against the SMART criteria (Specific, Measurable, Achievable, Relevant, Time-bound) and tracks progress by correlating diverse health data, including nutrition, exercise, and sleep patterns. Key features include habit formation analysis, motivation assessment, identifying roadblocks, and generating interactive reports with ECharts visualizations, providing a holistic view of wellness journeys.

Analyze mental health data to track mood, anxiety, depression scores, therapy progress, and crisis risk. Supports correlation analysis with sleep, exercise, nutrition, and chronic conditions to generate personalized insights and recommendations.

Analyze dietary and nutrient data, identify nutrition patterns, assess nutritional status, and generate personalized improvement advice. Also supports correlation analysis with exercise, sleep, weight, blood pressure, and blood sugar data.

Analyzes oral health records to detect trends, assess caries and periodontal risks, and generate personalized care advice. Supports linked analysis with nutrition, chronic disease, medication, and eye health data for comprehensive oral care insights.

Analyze skin health trends, assess acne and mole risks, evaluate skincare and sun protection, and generate personalized prevention and care advice. Useful for routine skin monitoring, skin cancer prevention, and cross-analysis with nutrition, chronic disease, and medication data.

Query structured food data for nutrition facts, food comparisons, portion conversions, classification filtering, and database-driven dietary analysis. Use when tasks require retrieval or analysis of food records rather than free-text nutrition advice.

Analyze health goal data, identify goal patterns, evaluate progress, and provide personalized goal management advice. Supports correlation analysis with nutrition, exercise, sleep, and other health data.

Analyzes mental health data to identify psychological patterns, assess well-being, and provide personalized recommendations. Supports correlation analysis with sleep, exercise, and nutrition data.

This skill analyzes nutrition data to identify patterns and assess nutritional status. It provides personalized advice for dietary improvement. It can correlate nutrition data with exercise, sleep, and chronic disease information for comprehensive health insights. Users should use it for macro/micronutrient evaluation and dietary trend analysis.

This skill analyzes oral health data to identify patterns and assess overall status. It provides personalized advice for oral care and hygiene. It supports correlation analysis with nutrition, chronic diseases, and medication. Suitable for analyzing trends, caries risk, and periodontal issues. Users can generate reports based on long-term records.

This skill analyzes skin health data to identify problem patterns and assess overall status. It supports correlation analysis with nutrition, chronic diseases, and medication data. Users should consult the detailed guide before execution to ensure safety and accuracy.