Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
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".
skill openclawclawhub Free
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".
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- CHANGELOG.md, README.md, SKILL.md, config.example.json, install.sh, references/api.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.2.2
Provenance
- Publisher
- eversonl
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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!
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): 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 asksAction"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
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
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
FeatureGarminWhoopRecovery metricBody Battery (0-100)Recovery Score (0-100%)HRV trackingYes (nightly average)Yes (detailed)Sleep stagesLight, Deep, REM, AwakeLight, SWS, REM, AwakeActivity trackingBuilt-in GPS, many sport modesStrain score (0-21)StressAll-day stress levelsNot directly trackedAPIUnofficial (garminconnect)Official OAuthDevice typesWatches, fitness trackersWearable 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
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs1 Scripts1 Config
- SKILL.md
- CHANGELOG.md
- README.md
- references/api.md
- install.sh
- config.example.json