Compute per-session SWOLF efficiency and analyze trends across recent pool swims.
npx skills add https://github.com/AlvaroLaraFF/strava-coach --skill swim-swolf
Please help me install this Agent Skill. Skill: swim-swolf Source: https://github.com/AlvaroLaraFF/strava-coach/tree/main/.claude/skills/swim-swolf Command: npx skills add https://github.com/AlvaroLaraFF/strava-coach --skill swim-swolf
Pool-swim SWOLF efficiency measurement and trend analysis to help swimmers quantify and improve their technique.
Run the SWOLF script to compute pool-swim efficiency over the past 60 days.
High-intent search queries and answers about installing and using this skill.
SWOLF efficiency is calculated from Strava lap data by computing SWOLF per session and averaging the values across a configurable lookback window. The script normalizes results to pool length for cross-pool comparisons.
SWOLF trend analysis reports whether your swimming efficiency is improving, declining, or staying steady over time. It evaluates SWOLF values computed from recent pool swim sessions to quantify technique improvements.
SWOLF metrics can be compared across different pools by normalizing SWOLF to a standard pool length, such as 25 meters. This normalization ensures cross-pool comparisons remain accurate and consistent.
Python 3.10 or higher is required to run the SWOLF analysis script. You also need Strava data access and a local memory store to persist coaching notes after each run.
SWOLF analysis is limited to pool swims and does not apply to open water swimming. The calculation relies on structured lap data from pool sessions to compute accurate efficiency metrics.
A configurable lookback window, such as the default 60 days, determines which recent pool swim sessions are included in the SWOLF trend analysis. Running the script processes sessions within this period.
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