t1d-food-data-processing-modules
CommunityStreamline food data processing for diabetes management.
Software Engineering#confidence scoring#data normalization#diabetes management#nutrient extraction#food data processing
Authorruskibeats
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for robust food data processing in Type 1 Diabetes management, providing a structured approach to building nutrient extractors, normalization services, and confidence tracking for meal data.
Core Features & Use Cases
- Nutrient Extraction: Extracts nutritional information from product databases with confidence scoring.
- Serving Quantity Normalization: Converts serving sizes to a standard format for accurate comparison.
- Data Provenance Tracking: Ensures data quality and reliability through provenance models.
- Meal Composition Analysis: Aggregates and analyzes meal components for better health insights.
- Use Case: Use this Skill to develop a meal logging system that accurately tracks and normalizes serving sizes for individuals with Type 1 Diabetes.
Quick Start
Create a nutrient profile for a food item by providing its data and calculate its normalized serving size with confidence tracking.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: t1d-food-data-processing-modules Download link: https://github.com/ruskibeats/t1d/archive/main.zip#t1d-food-data-processing-modules Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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