FitDietKernel is a precision nutrition knowledge base that transforms AI agents into expert diet coaches for carbon cycling and macro management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fitdietkernel
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 fitdietkernel 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 FitDietKernel?
FitDietKernel is a specialized personal knowledge base designed to bridge the gap between complex nutritional science and AI-driven execution. It functions as a centralized repository for physical metrics, dietary protocols, and food data, allowing your AI agent to provide hyper-personalized coaching. By integrating with the Openclaw Skills ecosystem, FitDietKernel enables dynamic diet adjustments based on your current body weight and specific fitness goals such as muscle gain, fat loss, or ketogenic maintenance.
The skill moves beyond generic advice by providing a structured framework for precision dieting. It focuses on granular macro tracking and standardized food units, ensuring that your AI assistant has the technical data needed to calculate exact nutritional requirements for every meal, helping you stay within your performance parameters with scientific accuracy.
FitDietKernel Use Cases
- Automating daily macronutrient calculations based on dynamic weight-to-carb ratios.
- Implementing precise carbon cycling protocols with Low, Medium, and High carb day variations.
- Standardizing food intake using 10g carbohydrate equivalent units for simplified meal planning.
- Tracking dietary adherence and deviations using a built-in safety threshold system.
- Generating automated weekly nutrition reports and progress summaries for long-term health tracking.
How FitDietKernel Works
- The AI agent accesses the FitDietKernel directory to read the user's profile and calculation formulas.
- Based on the user's current weight, the skill calculates the required grams of carbohydrates, protein, and fat for the specific cycle day.
- The agent references the food registration table to convert raw ingredient weights into standardized nutritional units.
- As the user logs meals, the system tracks the cumulative intake against the daily target, identifying any errors or surpluses.
- All data is synthesized into structured markdown logs, allowing for the generation of comprehensive weekly performance reports.
FitDietKernel Setup
To deploy this skill, clone the repository and configure your personal metrics.
git clone https://github.com/username/fitdietkernel.git
cd fitdietkernel
# Open and edit profile.json with your weight and target metrics
Once configured, instruct your AI agent to connect to the local path of the FitDietKernel directory to initialize the precision diet coach interface. This setup integrates perfectly with other Openclaw Skills for a full health-tracking stack.
FitDietKernel Data Schema & Taxonomy
The skill organizes information using a combination of JSON configuration and Markdown tables to ensure data portability.
| Component | Format | Description |
|---|---|---|
| User Profile | profile.json | Contains weight, target protein/kg, and diet goals. |
| Macro Formulas | MD Logic | Defines ratios for Carbon Cycling (1.0g to 3.0g per kg). |
| Food Registry | MD Table | Maps 10g carb equivalents for various ingredients like oats and pasta. |
| Tracking Logs | MD Files | Daily records of intake, error margins, and metabolic notes. |
FitDietKernel Advanced Features
- Dynamic Scaling: Automatically recalculates macros as the user's body weight changes.
- Precision Buffer: Tracks a ±10g safety line to manage dietary errors and prevent plateaus.
- Standardized Conversion: Uses a 10g carb-equivalent unit system for flexible and intuitive food logging.
- Multi-Protocol Support: Built-in logic for Carbon Cycling, Keto, Bulking, and Cutting phases.
- AI-Driven Reporting: Generates weekly insights by analyzing log patterns within the Openclaw Skills framework.
SKILL.md
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