Query Strava activities, stats, and athlete data via OAuth2.
npx skills add https://github.com/eddmann/jeeves --skill strava
Please help me install this Agent Skill. Skill: strava Source: https://github.com/eddmann/jeeves/tree/main/skills/strava Command: npx skills add https://github.com/eddmann/jeeves --skill strava
Access to Strava data and insights without manual data pulling, enabling quick visibility into activities, performance, and athlete stats.
Ask Strava to fetch your latest 5 activities and show their names and distances.
High-intent search queries and answers about installing and using this skill.
To analyze Strava fitness data, this Skill retrieves activities and stats using an OAuth2 flow with token storage. It fetches recent activities, athlete profiles, and aggregated statistics to evaluate running and cycling history.
Querying Strava activity history requires setting up STRAVA_CLIENT_ID and STRAVA_CLIENT_SECRET in your workspace/.env file. These credentials initiate the OAuth2 flow for token storage and refresh to access your data.
Yes, you can run inline Python scripts using stravalib to summarize Strava workout patterns. This allows you to fetch and compute custom metrics like total distance and average pace across recent sessions.
Yes, it supports fetching both running and cycling performance metrics. The Skill retrieves activity types with key metrics including distance, duration, and pace to analyze performance across sessions.
The OAuth2 flow handles token refresh by storing authentication tokens in the workspace environment. This ensures continuous access to Strava data for analyzing activities and stats without repeated manual authorization.
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