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

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

{
  "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:

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:

{
  "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:

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

3. Authenticate

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-tokens.json

and auto-refresh.

Check authentication status:

python3 scripts/garmin_auth.py status

Fetching Data

Use

scripts/garmin_data.py

to get JSON data:

# 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
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

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

Generating Charts

Use

scripts/garmin_chart.py

for interactive HTML visualizations:

# 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

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

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-tokens.json
```
Session tokens refresh automatically
No data is sent anywhere except to Garmin's official servers
You can revoke access anytime by deleting the tokens file

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: 1.2.0
Dependencies: garminconnect, fitparse, gpxpy (Python libraries)
License: MIT

Garmin Health Analysis

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