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Track and analyze cycling performance from Strava. Use when analyzing ride data, reviewing fitness trends, understanding workout performance, or providing insights on cycling training. Automatically monitors new rides and provides performance analysis.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install ericrosenberg/strava-cycling-coachInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Track cycling performance, analyze rides, and monitor fitness progression using the Strava API.
Visit https://www.strava.com/settings/api and create an application:
Save your Client ID and Client Secret.
cd skills/strava
./scripts/setup.sh
You'll be prompted for:
./scripts/complete_auth.py YOUR_CODE_HERE
To receive automatic ride analysis after each workout:
# Set your Telegram chat ID
export STRAVA_TELEGRAM_CHAT_ID="your_telegram_chat_id"
# Add to your shell profile for persistence
echo 'export STRAVA_TELEGRAM_CHAT_ID="your_telegram_chat_id"' >> ~/.bashrc
# Set up cron job (checks every 30 minutes)
crontab -l > /tmp/cron_backup.txt
echo "*/30 * * * * $(pwd)/scripts/auto_analyze_new_rides.sh" >> /tmp/cron_backup.txt
crontab /tmp/cron_backup.txt
Analyze your recent rides:
./scripts/analyze_rides.py --days 90 --ftp YOUR_FTP
Get latest ride:
scripts/get_latest_ride.py
Analyze specific ride:
scripts/analyze_ride.py <activity-id>
Monitor for new rides (runs in background):
scripts/monitor_rides.sh
The skill can automatically:
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Strava Cycling Coach Track cycling performance, analyze rides, and monitor fitness progression using the Strava API. ## Setup ### 1. Create Strava API Application Visit https://www.strava.com/settings/api and create an application: - Application Name: Clawdbot (or your preferred name) - Category: Data Importer - Club: (leave blank) - Website: http://localhost - Authorization Callback Domain: localhost Save your **Client ID** and **Client Secret**. ### 2. Run Setup Script ```bash cd skills/strava ./scripts/setup.sh ``` You'll be prompted for: 1. Client ID 2. Client Secret 3. Visit an OAuth URL to authorize 4. Copy the authorization code and complete setup with: ```bash ./scripts/complete_auth.py YOUR_CODE_HERE ``` ### 3. Configure Automatic Monitoring (Optional) To receive automatic ride analysis after each workout: ```bash # Set your Telegram chat ID export STRAVA_TELEGRAM_CHAT_ID="your_telegram_chat_id" # Add to your shell profile for persistence echo 'export STRAVA_TELEGRAM_CHAT_ID="your_telegram_chat_id"' >> ~/.bashrc # Set up cron job (checks every 30 minutes) crontab -l > /tmp/cron_backup.txt echo "*/30 * * * * $(pwd)/scripts/auto_analyze_new_rides.sh" >> /tmp/cron_backup.txt crontab /tmp/cron_backup.txt ``` ### 4. Test the Setup Analyze your recent rides: ```bash ./scripts/analyze_rides.py --days 90 --ftp YOUR_FTP ``` ## Usage Get latest ride: ```bash scripts/get_latest_ride.py ``` Analyze specific ride: ```bash scripts/analyze_ride.py <activity-id> ``` Monitor for new rides (runs in background): ```bash scripts/monitor_rides.sh ``` ## Automatic Monitoring The skill can automatically: 1. Check for new rides every 30 minutes 2. Analyze power, heart rate, and training load 3. Send insights about performance and fitness trends 4. Compare to recent training history ## Metrics Analyzed - **Power**: Average, normalized, max, variability index - **Heart rate**: Average, max, time in zones - **Training load**: TSS estimation, intensity factor...
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