Queries and analyzes high-resolution time-series health data for personalized physiological insights.
This skill enables Claude to interact with specialized health data repositories to fetch, aggregate, and analyze granular time-series metrics. It supports a wide range of data types including heart rate, HRV, MET values, and sleep phases from sources like Oura Ring. By providing capabilities for data resampling and statistical aggregation, it allows for deep dives into physiological patterns, making it an essential tool for developers and users building health monitoring systems or personal wellness dashboards.
主な機能
01Access specialized Oura Ring metrics like sleep phases and activity classes
02Filter health records by data source, type, and specific ISO 8601 timeframes
03Perform statistical aggregation including min, max, and average values
04Retrieve high-resolution health metrics at 1-5 minute intervals
05Custom data resampling to adjust granularity for better trend visualization
060 GitHub stars
ユースケース
01Analyzing heart rate variability (HRV) and heart rate trends during sleep
02Correlating daily activity intensity (MET) with overall fitness and fatigue levels
03Calculating the distribution of sleep phases to assess recovery quality
