Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Integrate with Garmin Connect to fetch and analyze deep fitness metrics including sleep, body battery, resting heart rate, stress, and training status. Use t...
Integrate with Garmin Connect to fetch and analyze deep fitness metrics including sleep, body battery, resting heart rate, stress, and training status. Use t...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Deep fitness metrics from Garmin Connect for enhanced training insights and recovery-aware nudges.
Training Status: Recovery time, training load, VO2 max Sleep Analysis: Duration, quality, sleep stages Body Battery: Energy levels throughout day Daily Readiness: Is Brian recovered enough to train hard? Heart Rate: Resting HR trends, stress levels Activity Details: More detailed metrics than Strava
Strava: Social, activities, segments, ride tracking Garmin: Physiological metrics, recovery, sleep, training load Combined = Smart nudges that respect recovery status!
pip3 install garminconnect --break-system-packages # Or using a virtual environment (recommended): # python3 -m venv ./venv # source ./venv/bin/activate # pip install garminconnect
Create a new "Login" item in your 1Password vault (e.g., "Personal") with the following details: Title: Garmin Connect (or a custom name you prefer) Username: Your Garmin Connect email address Password: Your Garmin Connect password If you use a custom title or a different vault, set the GARMIN_1P_ITEM_NAME and GARMIN_1P_VAULT environment variables before running the scripts. Example: export GARMIN_1P_ITEM_NAME="My Garmin Login" export GARMIN_1P_VAULT="MyFamilyVault" Ensure your OP_SERVICE_ACCOUNT_TOKEN is set up for 1Password CLI authentication: export OP_SERVICE_ACCOUNT_TOKEN=$(cat ~/.config/op/service-account-token)
./scripts/garmin-login.sh
./scripts/get-stats.sh Returns: Body battery (current/forecast) Sleep last night Training status Recovery time remaining Resting heart rate
./scripts/get-sleep.sh [days_back] Returns sleep duration, quality, stages for last N days.
./scripts/check-recovery.sh Returns whether Brian is recovered enough for hard training.
Enhanced decision logic: Before nudging for a hard workout: Check Garmin recovery time Check body battery level Check sleep quality last night Adjust intensity recommendation Example: Strava says: "Thursday tempo ride" Garmin says: "Recovery time: 24h, body battery: 45%" Nudge becomes: "Thursday ride scheduled, but recovery still needed. Easy Zone 2 instead of tempo today?"
{ "body_battery": { "current": 75, "charged": true, "forecast": 85 }, "sleep": { "duration_hours": 7.2, "quality": "good", "deep_sleep_hours": 1.8, "rem_hours": 1.5 }, "training_status": { "status": "productive", "vo2_max": 52, "recovery_time_hours": 12 }, "heart_rate": { "resting": 48, "current": 62, "stress_level": 25 } }
Without Garmin: "Thursday tempo ride time!" With Garmin: "You only got 5 hours sleep last night. Maybe take today easy? Light Zone 2 or rest."
Without Garmin: "Tuesday ride day" With Garmin: "Fully recovered (body battery 85%, 8h sleep) + perfect weather. Great day for that tempo ride! π΄"
Without Garmin: "Evening gym time!" With Garmin: "Stress level high today (68). Maybe skip gym and prioritize recovery?"
Current: π΄ Fitness Update: Last ride: 2 days ago This week: 3 rides, 87km With Garmin: π΄ Fitness Update: **Sleep:** 7.5h (good quality, 2h deep) **Recovery:** β Fully recovered **Body Battery:** 82% (charged overnight) **Resting HR:** 48 bpm (normal) Last ride: 2 days ago This week: 3 rides, 87km **Training Status:** Productive (VO2 max: 52)
Edit config.json (create if it doesn't exist): { "recovery_thresholds": { "body_battery_low": 40, "body_battery_good": 70, "min_sleep_hours": 6.5, "max_recovery_time_hours": 12 }, "nudge_modifications": { "respect_recovery": true, "downgrade_intensity_if_tired": true, "skip_gym_if_high_stress": true } } Note: This config.json should be created in the skill's root directory (/root/clawd/skills/garmin/).
Using garminconnect Python library: get_stats() - Daily stats summary get_sleep_data() - Sleep metrics get_body_battery() - Energy levels get_training_status() - Training load, recovery get_heart_rates() - HR data Rate limits: No official limit, but be reasonable (cache data, don't spam).
Python 3.7+ garminconnect library 1Password CLI (op) jq for JSON parsing (if needed by other scripts)
β Credentials stored in 1Password β Session tokens cached temporarily in /tmp/garmin-session/ β Data queried on-demand, not stored long-term by the skill (though the system might cache in /root/clawd/data/fitness/garmin/ as per TOOLS.md) β No external sharing β Read-only access to Garmin
Correlate sleep quality β work productivity Predict when Brian will be recovered Compare son's Garmin data (if he has one) Long-term trends (fitness improving?)
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