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MubasherMohammed
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nutrigx-advisor

Analyze genetic data to generate personalized nutrition reports with risk scores.

Updated May 10, 2026
Search Tags:#risk assessment#nutrition#dietary guidance#nutrigenomics#genetic data
One-click install
npx skills add https://github.com/MubasherMohammed/opencode-BioInfo --skill nutrigx-advisor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nutrigx-advisor
Source: https://github.com/MubasherMohammed/opencode-BioInfo/tree/main/python/skills/nutrigx_advisor
Command: npx skills add https://github.com/MubasherMohammed/opencode-BioInfo --skill nutrigx-advisor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, matplotlib, seaborn, reportlab, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides personalized nutrition reports based on consumer genetic data, offering actionable dietary guidance and risk assessments.

Core Features & Use Cases

  • Genetic Data Analysis: Interrogates nutritionally relevant SNPs and translates genotype calls into dietary guidance.
  • Nutrition Reports: Generates Markdown reports with risk scores, recommendations, and visualizations.
  • Use Case: A user with genetic data from 23andMe or AncestryDNA can use this Skill to receive a personalized nutrition report that includes risk assessments for various nutrients and dietary recommendations.

Quick Start

Run the nutrigx-advisor skill with the genetic data file 'genetic_data.vcf'.

Frequently Asked Questions about nutrigx-advisor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a personalized nutrition report from genetic data?▼

To generate a personalized nutrition report from genetic data, this Skill analyzes nutritionally relevant SNPs and translates genotype calls into dietary guidance, risk assessments, and visualizations.

What genetic data formats can I use for nutrigenomics risk assessment?▼

Nutrigenomics risk assessment accepts genetic data files like VCF formats, commonly exported from consumer genetic testing services, to analyze nutritionally relevant SNPs and provide dietary guidance.

Does the nutrition report generator work with 23andMe or AncestryDNA raw data?▼

Yes, the nutrition report generator works with raw genetic data from 23andMe or AncestryDNA, interrogating nutritionally relevant SNPs to produce personalized risk scores and dietary recommendations.

Do I need Python and data visualization libraries to run dietary guidance analysis?▼

Yes, generating dietary guidance analysis requires Python along with pandas, numpy, matplotlib, seaborn, and reportlab to process genetic data and render risk scores with visualizations.

What is nutrigenomics and how does it apply to dietary recommendations?▼

Nutrigenomics is the study of how genetic data influences nutritional risk, applying SNP analysis to translate individual genotype calls into actionable, personalized dietary recommendations and risk assessments.

What are the limitations of using genetic data for personalized nutrition insights?▼

Personalized nutrition insights derived from genetic data are limited to nutritionally relevant SNPs, providing risk assessments and dietary guidance rather than medical diagnoses or comprehensive health evaluations.

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