An AI-driven food calorie and nutrition calculator that identifies meals and provides health insights through photo recognition.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install calorie
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install calorie using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Calorie Detective?
Calorie Detective is a sophisticated tool designed for health-conscious individuals and fitness enthusiasts. By leveraging advanced AI vision technology, it acts as a digital investigator that uncovers hidden calories and macro-nutritional data in your meals. This skill is optimized specifically for Chinese cuisine but supports a wide range of global food items, making it an essential addition to your Openclaw Skills library.\n\nThe skill goes beyond simple identification by providing detailed reports on proteins, carbohydrates, and fats. Whether you are managing your weight or tracking specific dietary goals, Calorie Detective provides actionable insights and health recommendations based on visual data, helping you maintain a balanced lifestyle with minimal effort.
Calorie Detective Use Cases
- Tracking daily caloric intake during weight loss or muscle-building phases.\n- Generating detailed nutritional reports for complex meals or mixed Chinese dishes.\n- Receiving instant dietary improvement suggestions based on meal composition.\n- Managing long-term health data by integrating nutrition tracking into automated workflows.
How Calorie Detective Works
- The user uploads a food photo via the Kimi interface or local CLI.\n2. The AI vision model (Kimi, GPT-4o, or Claude) analyzes the image to identify ingredients and portions.\n3. The skill cross-references identified items with an internal database of over 100 common food types.\n4. It calculates the total calories and macronutrients (protein, carbs, fat).\n5. A comprehensive nutrition report and personalized health advice are generated for the user.
Calorie Detective Setup
To get started with this skill in your Openclaw Skills environment, you can use the recommended one-click deployment or a local installation.\n\n**Kimi Claw Deployment (Recommended):\n1. Visit the Kimi console: https://platform.moonshot.cn/console/claw\n2. Upload the calorie-detective-v1.0.2.zip package.\n3. Configure using config/kimi_claw.yaml.\n\nLocal Installation:**\nbash\n# Unzip the skill package\nunzip calorie-detective-v1.0.2.zip -d calorie-detective\ncd calorie-detective\n\n# Install dependencies\npip install -r requirements.txt\n\n# Set your API Key\nexport KIMI_API_KEY=\"your_kimi_key\"\n\n# Run the detective on an image\n./run.sh data/food.jpg\n
Calorie Detective Data Schema & Taxonomy
The skill organizes data within a structured directory to ensure seamless integration with Openclaw Skills.\n\n| Directory/File | Description |\n| :--- | :--- |\n| config/config.yaml | Main vision and usage limit configuration. |\n| config/config.local.yaml | Local environment variables and API keys. |\n| src/calorie_calculator.py | Core logic and built-in food database (100+ items). |\n| data/food.jpg | Sample image for testing. |\n| data/calorie.log | Operational logs and history tracking. |
Calorie Detective Advanced Features
- Multi-model vision support including Kimi (moonshot-v1-auto), OpenAI GPT-4o, and Claude 3 Vision.\n- Native integration with Kimi Claw for one-click deployment and automated scaling.\n- Cron job management for scheduled health reporting via Openclaw Skills CLI.\n- Customizable food database allowing users to add specific regional or dietary-specific nutrition facts.\n- Local usage statistics tracking for request counts, response times, and quota consumption.
SKILL.md
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