·tooluniverse-precision-medicine-stratification
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tooluniverse-precision-medicine-stratification

Comprehensive patient stratification for precision medicine by integrating genomic, clinical, and therapeutic data. Given a disease/condition, genomic data (germline variants, somatic mutations, expression), and optional clinical parameters, performs multi-phase analysis across 9 phases covering disease disambiguation, genetic risk assessment, disease-specific molecular stratification, pharmacogenomic profiling, comorbidity/DDI risk, pathway analysis, clinical evidence and guideline mapping, clinical trial matching, and integrated outcome prediction. Generates a quantitative Precision Medicine Risk Score (0-100) with risk tier assignment (Low/Intermediate/High/Very High), treatment algorithm (1st/2nd/3rd line), pharmacogenomic guidance, clinical trial matches, and monitoring plan. Use when clinicians ask about patient risk stratification, treatment selection, prognosis prediction, or personalized therapeutic strategy across cancer, metabolic, cardiovascular, neurological, or rare diseases.

96Installs·3Trend·@mims-harvard

Installation

$npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-precision-medicine-stratification

How to Install tooluniverse-precision-medicine-stratification

Quickly install tooluniverse-precision-medicine-stratification AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-precision-medicine-stratification
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: mims-harvard/tooluniverse.

SKILL.md

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Transform patient genomic and clinical profiles into actionable risk stratification, treatment recommendations, and personalized therapeutic strategies. Integrates germline genetics, somatic alterations, pharmacogenomics, pathway biology, and clinical evidence to produce a quantitative risk score with tiered management recommendations.

| Cancer + mutations + stage | "Breast cancer, BRCA1 mut, ER+, HER2-, stage II" | disease=breastcancer, mutations=[BRCA1], biomarkers={ER:+, HER2:-}, stage=II | | Metabolic + biomarkers + PGx | "T2D, HbA1c 8.5, CYP2C19 2/2" | disease=T2D, biomarkers={HbA1c:8.5}, pgx={CYP2C19:poormetabolizer} |

| CVD risk profile | "High LDL 190, SLCO1B15, family hx MI" | disease=CVD, biomarkers={LDL:190}, pgx={SLCO1B1:5}, familyhx=positive | | Rare disease + variant | "Marfan, FBN1 c.4082G>A" | disease=Marfan, mutations=[FBN1 c.4082G>A], diseasetype=rare | | Neuro risk | "Alzheimer risk, APOE e4/e4, age 55" | disease=AD, genotype={APOE:e4/e4}, clinical={age:55} |

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-precision-medicine-stratification
Category
{}Data Analysis
Verified
First Seen
2026-02-20
Updated
2026-03-11

Browse more skills from mims-harvard/tooluniverse

Quick answers

What is tooluniverse-precision-medicine-stratification?

Comprehensive patient stratification for precision medicine by integrating genomic, clinical, and therapeutic data. Given a disease/condition, genomic data (germline variants, somatic mutations, expression), and optional clinical parameters, performs multi-phase analysis across 9 phases covering disease disambiguation, genetic risk assessment, disease-specific molecular stratification, pharmacogenomic profiling, comorbidity/DDI risk, pathway analysis, clinical evidence and guideline mapping, clinical trial matching, and integrated outcome prediction. Generates a quantitative Precision Medicine Risk Score (0-100) with risk tier assignment (Low/Intermediate/High/Very High), treatment algorithm (1st/2nd/3rd line), pharmacogenomic guidance, clinical trial matches, and monitoring plan. Use when clinicians ask about patient risk stratification, treatment selection, prognosis prediction, or personalized therapeutic strategy across cancer, metabolic, cardiovascular, neurological, or rare diseases. Source: mims-harvard/tooluniverse.

How do I install tooluniverse-precision-medicine-stratification?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-precision-medicine-stratification Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/mims-harvard/tooluniverse