A robust integration that synchronizes detailed Garmin fitness, sleep, and workout metrics to your local environment every five minutes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install garmin-connect-fixed
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install garmin-connect-fixed using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Garmin Connect skill provides a seamless bridge between your wearable devices and your automated workflows. By utilizing this contribution to the Openclaw Skills ecosystem, developers can programmatically access granular health metrics including heart rate, activity levels, and recovery data. It prioritizes security by using OAuth authentication, ensuring that your credentials are never stored after the initial local session is established.
This integration is designed for high-frequency updates, making it ideal for users who want their AI agents to have near real-time awareness of their physical state. Whether you are building a personal health dashboard or a context-aware productivity tool, this skill ensures your Garmin data is always available locally and ready for processing.
First, install the required dependencies:
pip install -r requirements.txt
Perform the initial OAuth authentication (your credentials are used only to generate a local session file):
python3 scripts/garmin-auth.py [email protected] your-password
Run a manual sync to verify the connection:
python3 scripts/garmin-sync.py
Finally, automate the process by adding a entry to your crontab:
*/5 * * * * python3 /path/to/garmin-sync.py ~/.clawdbot/.garmin-cache.json
The skill organizes data into a structured JSON cache for easy consumption. Below is the metadata taxonomy:
| Category | Key Metrics | Description |
|---|---|---|
| Summary | steps, heart_rate_resting, active_minutes, distance_km | Daily activity and cardiovascular overview. |
| Sleep | duration_hours, quality_percent, deep_sleep_hours, rem_sleep_hours | Detailed breakdown of sleep stages and quality. |
| Workouts | type, name, duration_minutes, heart_rate_avg | Log of specific activity sessions and intensity. |
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