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.

Analyzes TCM constitution data to identify primary and mixed constitution types, assess traits and risks, and generate personalized wellness advice with links to nutrition, exercise, sleep, and trend tracking.

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.

An evidence-based coach providing guidance on fundamental wellness pillars: sleep hygiene, nutrition, exercise, and stress management. It uses behavior change science and motivational interviewing principles to help users build sustainable, lasting health habits. This tool is educational and motivational, designed to support general wellness journeys, and always emphasizes the critical need to consult healthcare professionals for diagnosis or treatment.

This comprehensive guide helps researchers determine if their specialized findings—across agronomy, nutrition, or supply chains—possess the requisite 'food-systems significance' for a high-impact journal. It outlines the required scope, transdisciplinary framing, evidence standards, and structural requirements necessary to shift a specialized result into a broad, systemic narrative suitable for Nature Food.

This skill enables querying nutritional information, comparing food items, and performing calculations based on structured food data. It supports database retrieval, portion conversion, and classification filtering for precise nutritional analysis rather than general text suggestions.

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.