Garmin Health Analysis

Talk to your Garmin data naturally - "what was my fastest speed snowboarding?", "how did I sleep last night?", "what was my heart rate at 3pm?". Access 20+ metrics (sleep stages, Body Battery, HRV, VO2 max, training readiness, body composition, SPO2), download FIT/GPX files for route analysis, query elevation/pace at any point, and generate interactive health dashboards. From casual "show me this week's workouts" to deep "analyze my recovery vs training load".

Luis Bolinches@bolinches

Install

openclaw skills install @bolinches/garmin-health-analysis-2

Garmin Health Analysis

Query health metrics from Garmin Connect and generate interactive HTML charts.

Two Installation Paths

This skill supports two different setups:

Clawdbot Skill (this guide) - Use with Clawdbot for automation and proactive health monitoring
MCP Server (see MCP setup guide) - Use with standard Claude Desktop as an MCP server

Choose the path that matches your use case. You can also use both simultaneously!

Clawdbot Skill Setup (first time only)

1. Install Dependencies

bash

pip3 install garminconnect

2. Configure Credentials

You have three options to provide your Garmin Connect credentials:

Option A: Clawdbot Config (Recommended - UI configurable)

Add credentials to ~/.clawdbot/clawdbot.json:

json

{
  "skills": {
    "entries": {
      "garmin-health-analysis": {
        "enabled": true,
        "env": {
          "GARMIN_EMAIL": "your-email@example.com",
          "GARMIN_PASSWORD": "your-password"
        }
      }
    }
  }
}

Tip: You can also set these through the Clawdbot UI in the Skills settings panel.

Option B: Local Config File

Create a config file in the skill directory:

bash

cd ~/.clawdbot/skills/garmin-health-analysis
# or: cd <workspace>/skills/garmin-health-analysis
cp config.example.json config.json
# Edit config.json and add your email and password

config.json:

json

{
  "email": "your-email@example.com",
  "password": "your-password"
}

Note: config.json is gitignored to keep your credentials secure.

Option C: Command Line

Pass credentials directly when authenticating:

bash

python3 scripts/garmin_auth.py login \
  --email YOUR_EMAIL@example.com \
  --password YOUR_PASSWORD

3. Authenticate

bash

python3 scripts/garmin_auth.py login

This uses credentials from (in priority order):

Command line arguments (--email, --password)
Local config file (config.json)
Environment variables (GARMIN_EMAIL, GARMIN_PASSWORD)
Clawdbot config (skills.entries.garmin-health-analysis.env)

Session tokens are stored in ~/.clawdbot/garmin/ (garth tokenstore) and auto-refresh on subsequent calls.

If you have existing tokens from a previous version (~/.garminconnect/), they are automatically migrated on first use.

Check authentication status:

bash

python3 scripts/garmin_auth.py status

Fetching Data

Use scripts/garmin_data.py to get JSON data:

bash

# Sleep (last 7 days default)
python3 scripts/garmin_data.py sleep --days 14

# Body Battery (Garmin's recovery metric)
python3 scripts/garmin_data.py body_battery --days 30

# HRV data
python3 scripts/garmin_data.py hrv --days 30

# Heart rate (resting, max, min)
python3 scripts/garmin_data.py heart_rate --days 7

# Activities/workouts (now includes activity_id)
python3 scripts/garmin_data.py activities --days 30

# Stress levels
python3 scripts/garmin_data.py stress --days 7

# Combined summary with averages
python3 scripts/garmin_data.py summary --days 7

# Custom date range
python3 scripts/garmin_data.py sleep --start 2026-01-01 --end 2026-01-15

# User profile
python3 scripts/garmin_data.py profile

Activity Splits (per-lap data)

Get lap-by-lap data for a specific activity — average/max HR, speed, distance, power, cadence per lap:

bash

# Get lap splits for an activity (use activities to find activity_id)
python3 scripts/garmin_data.py activity_splits --activity-id 600107330

Returns per-lap: lap_index, distance_meters, duration_seconds, average_speed, max_speed, avg_hr, max_hr, calories, elevation_gain, average_power, normalized_power, average_run_cadence, intensity_type, etc.

Activity Detail (per-second time-series)

Get second-by-second data for a specific activity — heart rate, speed, distance, elevation, power, cadence, and more:

bash

# All metrics, every second (full resolution)
python3 scripts/garmin_data.py activity_detail --activity-id 600107330

# Specific metrics only (faster, smaller output)
python3 scripts/garmin_data.py activity_detail --activity-id 600107330 \
  --metrics directHeartRate,directSpeed,sumDistance

# Sample every 30 seconds (good for quick overview of a long activity)
python3 scripts/garmin_data.py activity_detail --activity-id 600107330 \
  --sample-interval 30

# Common metrics:
#   directHeartRate   - Heart rate (bpm)
#   directSpeed       - Speed (m/s)
#   sumDistance        - Cumulative distance (m)
#   directElevation   - Elevation (m)
#   directPower       - Power (watts, running/cycling)
#   directRunCadence  - Cadence (spm for running)
#   directTimestamp   - Timestamp (ms epoch)
#   directLatitude    - Latitude
#   directLongitude   - Longitude
#   directGradeAdjustedSpeed - Grade-adjusted speed (m/s)
#   directVerticalOscillation - Vertical oscillation (cm)
#   directGroundContactTime  - Ground contact time (ms)
#   directStrideLength - Stride length (cm)
#   directVerticalRatio - Vertical ratio (%)
#   directPerformanceCondition - Performance condition

Output is JSON to stdout. Parse it to answer user questions.

Generating Charts

Use scripts/garmin_chart.py for interactive HTML visualizations:

bash

# Sleep analysis (hours + scores)
python3 scripts/garmin_chart.py sleep --days 30

# Body Battery recovery chart (color-coded)
python3 scripts/garmin_chart.py body_battery --days 30

# HRV & resting heart rate trends
python3 scripts/garmin_chart.py hrv --days 90

# Activities summary (by type, calories)
python3 scripts/garmin_chart.py activities --days 30

# Full dashboard (all 4 charts)
python3 scripts/garmin_chart.py dashboard --days 30

# Save to specific file
python3 scripts/garmin_chart.py dashboard --days 90 --output ~/Desktop/garmin-health.html

Charts open automatically in the default browser. They use Chart.js with a modern gradient design, stat cards, and interactive tooltips.

Answering Questions

User asks	Action
"How did I sleep last night?"	`garmin_data.py summary --days 1`, report sleep hours + score
"How's my recovery this week?"	`garmin_data.py body_battery --days 7`, report average + trend
"Show me my health for the last month"	`garmin_chart.py dashboard --days 30`
"Is my HRV improving?"	`garmin_data.py hrv --days 30`, analyze trend
"What workouts did I do this week?"	`garmin_data.py activities --days 7`, list activities with details
"How's my resting heart rate?"	`garmin_data.py heart_rate --days 7`, report average + trend
"Show me my heart rate during my run"	`garmin_data.py activity_detail --activity-id ID --metrics directHeartRate,directSpeed --sample-interval 30`
"What were my lap splits?"	`garmin_data.py activity_splits --activity-id ID`, report per-lap HR + pace
"How did my pace change over the run?"	`garmin_data.py activity_detail --activity-id ID --metrics directSpeed,sumDistance --sample-interval 60`

Key Metrics

Body Battery (0-100)

Garmin's proprietary recovery metric based on HRV, stress, sleep, and activity:

High (75-100): Fully recharged, ready for high intensity
Medium (50-74): Moderate energy, good for regular activity
Low (25-49): Limited energy, recovery needed
Very Low (0-24): Depleted, prioritize rest

Sleep Scores (0-100)

Overall sleep quality based on duration, stages, and disturbances:

Excellent (90-100): Optimal restorative sleep
Good (80-89): Quality sleep with minor issues
Fair (60-79): Adequate but could improve
Poor (0-59): Significant sleep deficiencies

HRV (Heart Rate Variability)

Measured in milliseconds, higher is generally better:

Indicates nervous system balance and recovery capacity
Track trends over time (increasing = improving recovery)
Affected by sleep, stress, training load, illness
Normal range varies by individual (20-200+ ms)

Resting Heart Rate (bpm)

Lower generally indicates better cardiovascular fitness:

Athletes: 40-60 bpm
Fit adults: 60-70 bpm
Average adults: 70-80 bpm
Sudden increases may indicate stress, illness, or overtraining

Stress Levels

Based on HRV analysis throughout the day:

Low stress: Rest and recovery periods
Medium stress: Normal daily activities
High stress: Physical activity or mental pressure

Health Analysis

When users ask for insights or want to understand their trends, use references/health_analysis.md for:

Science-backed interpretation of all metrics
Normal ranges by age and fitness level
Pattern detection (weekly trends, recovery cycles, training load balance)
Actionable recommendations based on data
Warning signs that suggest rest or medical consultation

Analysis workflow

Fetch data: python3 scripts/garmin_data.py summary --days N
Read references/health_analysis.md for interpretation framework
Apply the analysis framework: Status → Trends → Patterns → Insights → Recommendations
Always include disclaimer that this is informational, not medical advice

Troubleshooting

Authentication Issues

"Invalid credentials": Double-check email/password, try logging into Garmin Connect web
"Tokens expired": Run login again: python3 scripts/garmin_auth.py login ...
"Too many requests": Garmin rate-limits; wait a few minutes and try again

Missing Data

Some metrics require specific Garmin devices (Body Battery needs HRV-capable devices)
Historical data may have gaps if device wasn't worn
New accounts may have limited history

Library Issues

If garminconnect import fails: pip3 install --upgrade garminconnect
Garmin occasionally changes their API; update the library if requests fail

Privacy Note

Credentials are stored locally in ~/.clawdbot/garmin/ (garth tokenstore directory)
Session tokens auto-refresh; if they expire, the module falls back to credentials from config/env
Legacy tokens from ~/.garminconnect/ are automatically migrated on first use
Rate-limited? The auth module retries once after 30s and tells you what to do
No data is sent anywhere except to Garmin's official servers
You can revoke access anytime by deleting the ~/.clawdbot/garmin/ directory

Comparison: Garmin vs Whoop

Feature	Garmin	Whoop
Recovery metric	Body Battery (0-100)	Recovery Score (0-100%)
HRV tracking	Yes (nightly average)	Yes (detailed)
Sleep stages	Light, Deep, REM, Awake	Light, SWS, REM, Awake
Activity tracking	Built-in GPS, many sport modes	Strain score (0-21)
Stress	All-day stress levels	Not directly tracked
API	Unofficial (garminconnect)	Official OAuth
Device types	Watches, fitness trackers	Wearable band only

References

references/api.md — Garmin Connect API details (unofficial)
references/health_analysis.md — Science-backed health data interpretation
garminconnect library — Python API wrapper
Garmin Connect — Official web interface

Version Info

Created: 2026-01-25
Author: EversonL & Claude
Version: 1.3.0
Dependencies: garminconnect, curl_cffi, fitparse, gpxpy (Python libraries)
License: MIT

Garmin Health Analysis

Install

Garmin Health Analysis

Two Installation Paths

Clawdbot Skill Setup (first time only)

1. Install Dependencies

2. Configure Credentials

Option A: Clawdbot Config (Recommended - UI configurable)

Option B: Local Config File

Option C: Command Line

3. Authenticate

Fetching Data

Activity Splits (per-lap data)

Activity Detail (per-second time-series)

Generating Charts

Answering Questions

Key Metrics

Body Battery (0-100)

Sleep Scores (0-100)

HRV (Heart Rate Variability)

Resting Heart Rate (bpm)

Stress Levels

Health Analysis

Analysis workflow

Troubleshooting

Authentication Issues

Missing Data

Library Issues

Privacy Note

Comparison: Garmin vs Whoop

References

Version Info

Related skills