This skill ingests body composition measurements (weight, body fat %, muscle mass, visceral fat, circumferences) and produces parsed, validated entries, trend analysis, and goal-based recommendations. It calculates indices like BMI and WHR, classifies body fat and health risk, and generates a 0–100 composition score to summarise progress. Useful for logging single measurements or producing periodic progress reports with concrete advice.
Trigger when a user supplies body metrics (scale, DEXA, BIA, or tape measurements), asks for a progress report, or needs guidance on interpreting body fat, BMI, WHR, or DEXA output. Also used when the agent should flag rapid weight loss, low body fat risks, or recommend nutrition and training adjustments.
Designed for general-purpose assistant agents that can read/write files and perform numeric analysis (Claude Code-style or GPT-based assistants with file I/O). Compatible with agents that can present formatted markdown reports and store daily/longitudinal tracker files.
This skill has not been reviewed by our automated audit pipeline yet.
Health Memory Hub
Standardised memory format for health data: manages daily logs and per-item longitudinal files under memory/health/ to provide a canonical, queryable health his
Caffeine & Sleep Advisor
Analyzes caffeine intake and sleep data to identify sensitivity thresholds, predict safe cutoff times, and provide personalized recommendations to improve sleep
