tri-combined-load

The Skill merges run, ride, and swim metrics into a single daily training-load value using HR-based TRIMP or power-based TSS, requiring Python 3.10+, project dependencies, and Strava data access to execute the analysis.

CTL, ATL, and TSB work by integrating the Performance Management Cycle across run, ride, and swim disciplines to yield a single daily load alongside a per-sport breakdown, helping identify the dominant sport contributing to fatigue.

Yes, you can use Strava data to compute a unified daily training load, as the Skill requires Strava data access to run the analysis and calculate integrated fatigue metrics for triathlon coaching and training adjustments.

Yes, you need Python 3.10 or higher to calculate combined training stress scores, as the Skill requires this environment along with the project's dependencies to process multisport data and generate accurate load values.

When power or heart rate data is incomplete, the Skill applies fallback calculations to ensure you still get a continuous daily training-load value without gaps in your fatigue and readiness tracking.