A local AI agent skill for generating science-backed personalised nutrition reports from consumer genetic data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nutrigx-advisor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install nutrigx-advisor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is NutriGx Advisor?
NutriGx Advisor is a specialized tool within the Openclaw Skills ecosystem designed to translate raw genetic data into actionable dietary guidance. It analyzes consumer DNA files like 23andMe, AncestryDNA, or VCF formats to identify specific genetic variants (SNPs) associated with metabolism, vitamin absorption, and food sensitivities.
By focusing on privacy through local computation, it provides users with a deep understanding of their unique nutritional needs without compromising sensitive data. The skill interrogates a curated panel of SNPs drawn from GWAS Catalog and ClinVar, translating complex genotype calls into easy-to-understand risk scores and dietary recommendations.
NutriGx Advisor Use Cases
- Analyzing 23andMe or AncestryDNA raw data for nutritional insights.
- Identifying genetic predispositions for vitamin deficiencies such as MTHFR or VDR variants.
- Understanding caffeine and alcohol metabolism through slow or fast metabolizer markers.
- Optimizing macronutrient ratios based on fat and carbohydrate sensitivity genes like FTO and PPARG.
- Generating professional-grade nutrigenomics reports for personal health optimization using Openclaw Skills.
How NutriGx Advisor Works
- Input Parsing: The skill accepts .txt, .csv, or .vcf files and automatically detects the format to normalize alleles.
- Genotype Extraction: It identifies specific rsids from a curated panel of nutritionally-relevant SNPs local to the skill directory.
- Risk Scoring: Each variant is scored based on peer-reviewed literature to calculate composite risk scores (0-10) for different nutrient domains.
- Visualization: The agent generates radar charts and gene-nutrient heatmaps using matplotlib and seaborn for visual data interpretation.
- Report Generation: Produces a structured Markdown report with executive summaries, interpretations, and targeted recommendations.
NutriGx Advisor Setup
To use this within the Openclaw Skills framework, ensure you have Python 3.11+ and the required libraries installed:
pip install pandas numpy matplotlib seaborn
# Optional for PDF generation
pip install reportlab
You can then trigger the analysis directly via the CLI:
openclaw "Generate my personalised nutrition report from genome.csv"
NutriGx Advisor Data Schema & Taxonomy
The skill organizes its analysis through a structured data pipeline:
| Component | Format | Description |
|---|---|---|
| SNP Panel | JSON | Curated definitions of genes, SNPs, and risk alleles in data/snp_panel.json. |
| Risk Scores | Numeric | 0.0 to 1.0 weights per SNP, aggregated into 0-10 domain scores. |
| Visualizations | PNG | Radar charts and heatmaps illustrating nutrient risk profiles. |
| Reproducibility | Shell/JSON | A bundle containing commands.sh, environment.yml, and SHA-256 checksums. |
NutriGx Advisor Advanced Features
- Local-first computation ensures that sensitive genetic data is never transmitted to external servers.
- Reproducibility bundle creation including SHA-256 checksums and provenance logs for scientific auditability.
- Support for multi-format DNA raw data including VCF and various consumer-grade CSV exports.
- Extensible SNP panel architecture allowing power users to add custom markers to the nutrigenomics engine within Openclaw Skills.
SKILL.md
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