nutrigx-advisor
Personalised nutrition report from consumer genetic data (23andMe, AncestryDNA, VCF) — interrogates nutritionally-relevant SNPs and generates actionable dietary guidance, all computed locally.
npx skills add BioTender-max/awesome-bio-agent-skills --skill nutrigx-advisor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# NutriGx Advisor — Personalised Nutrition from Genetic Data **Author**: David de Lorenzo (ClawBio Community) **Requires**: Python 3.11+, pandas, numpy, matplotlib, seaborn, reportlab (optional) --- ## What This Skill Does The NutriGx Advisor generates a **personalised nutrition report** from consumer genetic data (23andMe, AncestryDNA raw files or VCF). It interrogates a curated set of nutritionally-relevant SNPs drawn from GWAS Catalog, ClinVar, and peer-reviewed nutrigenomics literature, then translates genotype calls into actionable dietary and supplementation guidance — all computed locally. **Key outputs** - Markdown nutrition report with risk scores and recommendations - Radar chart of nutrient risk profile - Gene × nutrient heatmap - Reproducibility bundle (`commands.sh`, `environment.yml`, SHA-256 checksums) --- ## Trigger Phrases The Bio Orchestrator should route to this skill when the user says anything like: - "personalised nutrition", "nutrigenomics", "diet genetics" - "what should I eat based on my DNA" - "nutrient metabolism", "vitamin absorption genetics" - "MTHFR", "APOE", "FTO", "BCMO1", "VDR", "FADS1/2" - "folate", "omega-3", "vitamin D", "caffeine metabolism", "
- What This Skill Does
- Trigger Phrases
- Curated SNP Panel
- Macronutrient Metabolism
- Micronutrient Metabolism
- Omega-3 / Fatty Acid Metabolism
- Caffeine & Alcohol
- Food Sensitivities
- Antioxidant & Detoxification
- Algorithm
- 1. Input Parsing (parseinput.py)
- 2. Genotype Extraction (extractgenotypes.py)
- 3. Risk Scoring (scorevariants.py)
- 4. Report Generation (generatereport.py)
From 23andMe raw data openclaw "Generate my personalised nutrition report from genome.csv" From VCF openclaw "Run NutriGx analysis on variants.vcf and flag any folate pathway risks" Targeted query openclaw "What does my APOE status mean for my saturated fat intake?" Generate a random demo patient and run the report python examples/generate_patient.py --run
What does the nutrigx-advisor skill do?
Personalised nutrition report from consumer genetic data (23andMe, AncestryDNA, VCF) — interrogates nutritionally-relevant SNPs and generates actionable dietary guidance, all computed locally.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill nutrigx-advisor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.