nutrigenomicsGenerate a personalised nutrition report from your genetic data (23andMe, AncestryDNA, or VCF). Analyses 40+ genes affecting nutrient metabolism, absorption,...
Install via ClawdBot CLI:
clawdbot install drdaviddelorenzo/nutrigenomicsGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.ebi.ac.uk/gwas/Uses known external API (expected, informational)
ncbi.nlm.nih.govAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Wellness coaches use the skill to analyze clients' genetic data from services like 23andMe, generating detailed nutrition reports. This enables tailored diet and supplement plans based on genetic predispositions, such as optimizing folate intake for MTHFR variants or adjusting omega-3 sources for FADS1/2 genotypes, enhancing client outcomes and retention.
Dietitians and nutritionists in clinical settings integrate the skill to assess patients' genetic risks for conditions like lactose intolerance or vitamin deficiencies. By processing VCF files from medical tests, they provide evidence-based dietary interventions, such as managing homocysteine levels with B12 recommendations based on MTR variants, improving personalized care.
Companies implement the skill in employee wellness initiatives, offering genetic-based nutrition analysis to improve workforce health. Employees submit raw DNA data to receive reports on caffeine metabolism or antioxidant needs, leading to customized wellness plans that boost productivity and reduce healthcare costs through preventative measures.
Nutraceutical firms utilize the skill to study genetic interactions with supplements, analyzing SNP panels to identify target populations. For example, they assess BCMO1 variants for beta-carotene conversion efficiency, guiding product formulation and clinical trials for personalized vitamin supplements based on genetic profiles.
Genetic testing companies enhance their offerings by embedding this skill to provide automated nutrition reports. Customers upload raw data from ancestry tests, receiving insights on genes like APOE for fat response or CYP1A2 for caffeine metabolism, adding value to basic DNA kits and driving subscription renewals.
Offer monthly or annual subscriptions for users to upload genetic data and receive updated nutrition reports as new research emerges. Revenue is generated through tiered plans, with premium features like detailed heatmaps and ongoing support, targeting health enthusiasts and professionals seeking continuous insights.
License the skill to clinics, hospitals, and wellness centers, allowing them to integrate it into their patient management systems. Revenue comes from upfront licensing fees or per-report charges, leveraging the skill's local computation and reproducibility features for secure, scalable deployment in medical environments.
Provide basic nutrition reports for free to attract users, with paid upgrades for advanced features such as radar charts, gene-nutrient heatmaps, and priority support. Revenue is driven by upselling to detailed analyses and integration with other health apps, appealing to cost-conscious consumers and professionals.
💬 Integration Tip
Ensure Python 3.11+ and required libraries are installed; use the provided environment.yml for dependency management to avoid compatibility issues during local deployment.
Scored Jun 19, 2026
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