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Garmin

Integrate with Garmin Connect to fetch and analyze deep fitness metrics including sleep, body battery, resting heart rate, stress, and training status. Use t...

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Integrate with Garmin Connect to fetch and analyze deep fitness metrics including sleep, body battery, resting heart rate, stress, and training status. Use t...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/cache-daily.sh, scripts/garmin-login.sh, scripts/get-stats.py, scripts/get-stats.sh, scripts/morning-summary.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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 20 sections Open source page

Garmin Connect Integration Skill

Deep fitness metrics from Garmin Connect for enhanced training insights and recovery-aware nudges.

Features

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

Why Garmin + Strava?

Strava: Social, activities, segments, ride tracking Garmin: Physiological metrics, recovery, sleep, training load Combined = Smart nudges that respect recovery status!

1. Install Dependencies

pip3 install garminconnect --break-system-packages # Or using a virtual environment (recommended): # python3 -m venv ./venv # source ./venv/bin/activate # pip install garminconnect

2. Store Credentials in 1Password

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)

3. Test Connection

./scripts/garmin-login.sh

Get Today's Stats

./scripts/get-stats.sh Returns: Body battery (current/forecast) Sleep last night Training status Recovery time remaining Resting heart rate

Get Sleep Data

./scripts/get-sleep.sh [days_back] Returns sleep duration, quality, stages for last N days.

Check Recovery Status

./scripts/check-recovery.sh Returns whether Brian is recovered enough for hard training.

Integration with Strava Nudges

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?"

Stats Object

{ "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 } }

Scenario 1: Poor Sleep + Hard Workout Day

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."

Scenario 2: Recovered + Good Conditions

Without Garmin: "Tuesday ride day" With Garmin: "Fully recovered (body battery 85%, 8h sleep) + perfect weather. Great day for that tempo ride! 🚴"

Scenario 3: High Stress Day

Without Garmin: "Evening gym time!" With Garmin: "Stress level high today (68). Maybe skip gym and prioritize recovery?"

Morning Briefing Enhancement

Current: 🚴 Fitness Update: Last ride: 2 days ago This week: 3 rides, 87km With Garmin: 🚴 Fitness Update: **Sleep:** 7.5h (good quality, 2h deep) **Recovery:** βœ… 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)

Configuration

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/).

API Reference

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).

Dependencies

Python 3.7+ garminconnect library 1Password CLI (op) jq for JSON parsing (if needed by other scripts)

Privacy

βœ… Credentials stored in 1Password βœ… Session tokens cached temporarily in /tmp/garmin-session/ βœ… 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) βœ… No external sharing βœ… Read-only access to Garmin

Future Enhancements

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?)

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
5 Scripts1 Docs
  • SKILL.md Primary doc
  • scripts/cache-daily.sh Scripts
  • scripts/garmin-login.sh Scripts
  • scripts/get-stats.py Scripts
  • scripts/get-stats.sh Scripts
  • scripts/morning-summary.sh Scripts