meir-j-stampfer
OfficialStampfer-inspired nutrition reasoning.
Education & Research#observational-data#public-health#nutrition-epidemiology#substitution-principle#dietary-guidelines#chronic-disease-prevention
AuthorK-Dense-AI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps analysts evaluate nutritional claims and public health recommendations by applying Meir J. Stampfer's epidemiological frameworks, particularly the Substitution Principle, Combinatorial Lifestyle Evaluation, and emphasis on observational data over randomized trials.
Core Features & Use Cases
- Evaluates diet-health claims through substitution-focused reasoning to understand what nutrients replace in a caloric balance.
- Applies frameworks like Isocaloric Substitution Modeling and the 5-Factor Low-Risk Lifestyle Score to interpret population data and guide policy or personal advice.
- Compares observational evidence with randomized controlled trials to highlight the strength and limitations of different study designs in nutrition science.
- Supports public-health discussions, dietary guidelines, and longevity analyses with a population-centric, longitudinal perspective.
Quick Start
Analyze a dietary question by identifying the substitution, then frame the answer using Stampfer's frameworks.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: meir-j-stampfer Download link: https://github.com/K-Dense-AI/mimeographs/archive/main.zip#meir-j-stampfer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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