Garmin Health Analysis

Garmin Health Analysis

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

Two Installation Paths

This skill supports two different setups:

1. Clawdbot Skill (this guide) - Use with Clawdbot for automation and proactive health monitoring

2. MCP Server ([see MCP setup guide](references/mcp_setup.md)) - Use with standard Claude Desktop as an MCP server

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

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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

Login to Garmin Connect and save session tokens:

python3 scripts/garmin_auth.py login

This uses credentials from (in priority order):

1. Command line arguments (--email, --password)

2. Local config file (config.json)

3. Environment variables (GARMIN_EMAIL, GARMIN_PASSWORD)

4. 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

1. Fetch data: python3 scripts/garmin_data.py summary --days N

2. Read references/health_analysis.md for interpretation framework

3. Apply the analysis framework: Status → Trends → Patterns → Insights → Recommendations

4. 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-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](https://github.com/cyberjunky/python-garminconnect) — Python API wrapper
• -[Garmin Connect](https://connect.garmin.com) — Official web interface

Version Info

• -Created: 2026-01-25
• -Author: EversonL & Claude
• -Version: 1.2.0
• -Dependencies: garminconnect, fitparse, gpxpy (Python libraries)
• -License: MIT