polarization-check

Polarized training distribution is assessed by bucketing your last 30 days of HR data into easy, moderate, and hard zones. The analysis outputs a structured JSON verdict indicating whether your intensity distribution is polarized, pyramidal, threshold-heavy, or undefined.

Calculating time in HR zones for polarized training involves computing HR-based thresholds from your activity data. The skill buckets sessions into easy, moderate, and hard zones to reveal your training intensity distribution over a 30-day window.

Yes, you can assess polarized training readiness for a group of athletes. The skill applies HR data analysis to individuals or groups to evaluate 80/20 distribution and guide coaching rebalancing decisions.

When HR data is missing during training distribution analysis, the skill handles the gap via a snapshot mechanism. This auto-recovery flow ensures the 80/20 polarization check still processes your available activity data.

The difference between polarized, pyramidal, and threshold-heavy training lies in the time spent in easy, moderate, and hard zones. The skill outputs a structured verdict based on your HR data distribution to identify which model your training follows.