A comprehensive health data management system that logs physiological metrics, workouts, and uses AI vision to analyze nutritional content from food photos.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install health-tracking
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install health-tracking using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Health Tracking skill is a sophisticated data logging and analysis engine designed for the Openclaw Skills ecosystem. It enables users to maintain a detailed digital health journal by recording weight, sleep patterns, hydration levels, and exercise intensity directly into structured CSV formats.
Beyond manual entry, this skill leverages AI vision capabilities to transform meal photos into actionable nutritional data. By analyzing food images, it automatically estimates calories and macronutrients (protein, carbs, fats), allowing for a seamless integration of visual dietary tracking into a developer's daily workflow.
To integrate this into your Openclaw Skills environment, ensure you have the required scripts in your project directory:
# Example: Recording morning health metrics
node scripts/health_record.js morning --weight=70 --sleep=7 --mood=4 --hr=60
# Example: Logging a workout
node scripts/health_record.js workout --activity=running --duration=30 --intensity=3 --cal=300
The skill organizes data across multiple CSV files for clean taxonomy:
| File Path | Description | Key Columns |
|---|---|---|
data/daily.csv |
Physiological & Mood | weight_kg, sleep_hours, resting_hr, mood_1to5 |
data/hydration.csv |
Water intake | amount_ml, source |
data/workout.csv |
Exercise logs | activity, duration_min, intensity_1to5, calories |
data/nutrition_meals.csv |
Diet & Nutrition | meal_type, description, photo_ref, cal, p, c, f |
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