garmin-health

# 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! --- ## 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 Login to Garmin Connect and save session tokens: ```bash 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: ```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 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: ```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 | ## 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