--- name: garmin-health-analysis description: 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". version: 1.2.2 author: EversonL & Claude homepage: https://github.com/eversonl/ClawdBot-garmin-health-analysis metadata: {"clawdbot":{"emoji":"⌚","requires":{"env":["GARMIN_EMAIL","GARMIN_PASSWORD"]},"install":[{"id":"garminconnect","kind":"python","package":"garminconnect","label":"Install garminconnect (pip)"},{"id":"fitparse","kind":"python","package":"fitparse","label":"Install fitparse (pip)"},{"id":"gpxpy","kind":"python","package":"gpxpy","label":"Install gpxpy (pip)"}]}} ---

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) - 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": "[email protected]",
          "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": "[email protected]",
  "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 [email protected] \
  --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

...