A streamlined Python-based tool for tracking daily nutrition, protein intake, and body weight via an AI agent.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install calorie-counter
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 calorie-counter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Calorie Counter is a specialized utility designed for health-conscious developers and users who want to manage their fitness data directly through an AI interface. By leveraging Openclaw Skills, this tool provides a structured way to log meals, monitor protein goals, and record weight changes without leaving the command line or agent environment.
Built with Python and SQLite, it offers a persistent storage solution that ensures your data remains private and accessible. Whether you are bulking, cutting, or maintaining, this skill transforms your AI agent into a personal nutrition assistant capable of providing instant feedback on your progress.
To get started with this skill, ensure you have Python 3.7+ installed and navigate to the skill directory to initialize your goal:
# Navigate to the skill folder
cd workspace/calorie-counter/
# Set your daily calorie goal (e.g., 2000)
python3 scripts/calorie_tracker.py goal 2000
The skill manages data within a SQLite database named calorie_data.db containing three primary tables:
| Table | Description |
|---|---|
| entries | Stores food_name, calories (INT), protein (INT), and date. |
| daily_goal | A single-row table storing the persistent integer calorie target. |
| weight_log | Records weight_lbs (REAL) with decimal support and auto-timestamps. |
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