from stewardos11
Aggregate a 7-day health report across sleep, activity, workouts, nutrition, and recovery with anomaly detection and genome/clinical context when available.
Generates a comprehensive weekly health review that pulls sleep, activity, workouts, nutrition, and recovery signals from multiple sources (Oura, Apple Health, Fitbod, Peloton, wger). It performs time-windowed rollups, anomaly detection, and (when available) genome- and clinical-aware context to prioritize actionable recommendations.
Use weekly to summarize user health trends, spot regressions (HRV drops, missed workouts, low readiness), and provide prioritized next steps. Suitable for personal wellness advisors, coach personas, or automated weekly check-ins.
Fits agents that can access user health data and run SQL/extraction tasks (agent frameworks with data connectors or self-hosted agent stacks). The skill expects access to device/exported data sources and a health-graph for genome/clinical enrichment.
This skill has not been reviewed by our automated audit pipeline yet.
