Strava Cycling Performance Analysis Skill

Automatically track and analyze your Strava cycling rides with detailed power, heart rate, and performance insights.

Features

• Automatic Monitoring: Checks for new rides every 30 minutes
• Detailed Analysis: Power metrics (avg, normalized, max, VI)
• Heart Rate Zones: Time in each zone with percentages
• PR Tracking: Only reports actual improvements (not first-time segments)
• Training Load: TSS estimation and suffer score
• Local Caching: Efficient API usage with local activity cache
• Telegram Notifications: Get analysis messages after each ride

What You Get After Each Ride

• Power analysis (average, normalized, max, variability index)
• Heart rate zone distribution
• Personal records (only actual improvements)
• Training stress score (TSS) estimation
• Performance insights and comparisons
• Elevation and cadence stats

Requirements

• Strava account with activity data
• Strava API application (free to create)
• Python 3.7+ with requests library
• Cron (for automatic monitoring)
• Optional: Telegram for notifications

Quick Start

1. Create Strava API app at https://www.strava.com/settings/api
2. Run ./scripts/setup.sh and follow prompts
3. Complete OAuth with ./scripts/complete_auth.py CODE
4. Test with ./scripts/analyze_rides.py --days 30
5. Optional: Set up cron job for automatic monitoring

Configuration

• Config: ~/.config/strava/config.json
• Cache: ~/.cache/strava/activities.json
• Logs: ~/.cache/strava/monitor.log

Notes

• First 100 activities are cached on initial setup
• Respects Strava API rate limits (100/15min, 1000/day)
• PRs only reported for segments you've ridden before
• Heart rate zones calculated based on max HR from activities
• FTP can be customized via --ftp flag

Support

For issues or questions, visit: https://github.com/clawdbot/clawdbot