Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Strava Cycling Coach
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.
skill openclawclawhub Free
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.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.txt, SKILL.md, references/api.md, scripts/analyze_and_notify.py, scripts/analyze_rides.py, scripts/auto_analyze_new_rides.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- EricRosenberg
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Strava Cycling Coach
Track cycling performance, analyze rides, and monitor fitness progression using the Strava API.
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
cd skills/strava ./scripts/setup.sh You'll be prompted for: Client ID Client Secret Visit an OAuth URL to authorize Copy the authorization code and complete setup with: ./scripts/complete_auth.py YOUR_CODE_HERE
3. Configure Automatic Monitoring (Optional)
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
4. Test the Setup
Analyze your recent rides: ./scripts/analyze_rides.py --days 90 --ftp YOUR_FTP
Usage
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
Automatic Monitoring
The skill can automatically: Check for new rides every 30 minutes Analyze power, heart rate, and training load Send insights about performance and fitness trends 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 Fitness progression: Trends over time Segments: PR achievements and efforts Comparative: vs recent rides, vs personal bests
Configuration
Edit ~/.config/strava/config.json to customize: Monitoring frequency Analysis preferences Notification settings
API Reference
See references/api.md for complete Strava API documentation.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Files
- SKILL.md
- references/api.md
- scripts/analyze_and_notify.py
- scripts/analyze_rides.py
- scripts/auto_analyze_new_rides.sh
- README.txt