
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.
Weekly health review skill that aggregates sleep, activity, workout, nutrition, and recovery data across Oura, Apple Health, wger, Fitbod, Peloton, and health-graph. No bundled scripts — purely instructional SKILL.md. Well-documented workflow with clear output template, anomaly detection thresholds, and genome context tiers. Monolithic structure with no separation into scripts/ or references/ directories.
No scripts to execute — static analysis only. Skill is purely instructional with no executable code, so security is clean. Architecture is the weakest dimension: monolithic, no scripts/ or references/ separation, though frontmatter is present and the output contract is well-defined.