Calculate CTL, ATL, and TSB from local Strava training data.
npx skills add https://github.com/AlvaroLaraFF/strava-coach --skill training-load
Please help me install this Agent Skill. Skill: training-load Source: https://github.com/AlvaroLaraFF/strava-coach/tree/main/.claude/skills/training-load Command: npx skills add https://github.com/AlvaroLaraFF/strava-coach --skill training-load
Compute PMC metrics (CTL/ATL/TSB) from your training history to quantify fitness, fatigue, and readiness, turning raw activity data into actionable insight.
Run the training-load Python CLI to compute PMCs from your local activity history and inspect the resulting JSON.
High-intent search queries and answers about installing and using this skill.
To calculate CTL, ATL, and TSB from Strava data, run the training-load Python CLI against your local Strava database. It computes daily load using power-based TSS or HR-based Banister TRIMP, outputting current fitness, fatigue, and readiness values as JSON.
TSS and Banister TRIMP are two methods for quantifying training load. The Skill automatically uses power-based TSS when wattage data is available in your Strava activities, and falls back to HR-based Banister TRIMP when power data is absent to ensure accurate PMC calculations.
Yes, you need Python 3.10 or higher to run the training-load CLI and compute PMC metrics. The script reads endurance activity data directly from your local Strava database without requiring external dependencies.
Yes, you can use Strava data without power meter readings for fitness tracking. When watts are unavailable, the calculation automatically applies HR-based Banister TRIMP to your daily training load to derive accurate CTL, ATL, and TSB values.
The JSON output includes today’s CTL, ATL, and TSB values, 7-day deltas, peak CTL, and lowest TSB. These metrics from your Strava history support data-driven race preparation and recovery planning.
You track fitness and fatigue trends by analyzing the 7-day deltas, peak CTL, and lowest TSB computed from your local Strava activity history. This quantifies your current training state to optimize endurance performance and readiness.
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