Aggregate Strava activities by ISO week and sport into structured JSON.
npx skills add https://github.com/AlvaroLaraFF/strava-coach --skill weekly-log
Please help me install this Agent Skill. Skill: weekly-log Source: https://github.com/AlvaroLaraFF/strava-coach/tree/main/.claude/skills/weekly-log Command: npx skills add https://github.com/AlvaroLaraFF/strava-coach --skill weekly-log
Show a concise weekly training log by ISO week and sport, pulling from Strava data so you can review recent activity without digging through individual sessions.
Run the weekly_log.py script with --weeks to display the last N weeks.
High-intent search queries and answers about installing and using this skill.
You can summarize Strava training data by ISO week and sport by running the weekly_log.py script, which reads your local Strava database and aggregates activities into a structured JSON with per-week totals for distance, time, and elevation.
The best way to generate a weekly training log for running and cycling is to group Strava activities by ISO week and sport, computing totals for distance, time, and elevation to review recent performance without digging through individual sessions.
Yes, you can view Strava activities grouped by sport type. The script categorizes activities into Run, Ride, Swim, and Other, calculating weekly totals to provide a calendar-like view of your training data.
Yes, you need a local Strava database to compute weekly distance and elevation totals. The script reads directly from this local database to aggregate your activity data by week and sport.
To display the last N weeks of your Strava training log, run the weekly_log.py script with the --weeks flag, specifying the number of weeks you want to review in the output.
Yes, the weekly training summary saves qualitative observations about your activities. After presenting the structured JSON totals, it persists a qualitative observation to memory using a memory protocol.
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