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
npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-precision-medicine-stratification --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.
# Precision Medicine Patient Stratification 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. **KEY PRINCIPLES**: 1. **Report-first approach** - Create report file FIRST, then populate progressively 2. **Disease-specific logic** - Cancer vs metabolic vs rare disease pipelines diverge at Phase 2 3. **Multi-level integration** - Germline + somatic + expression + clinical data layers 4. **Evidence-graded** - Every finding has an evidence tier (T1-T4) 5. **Quantitative output** - Precision Medicine Risk Score (0-100) with transparent components 6. **Pharmacogenomic guidance** - Drug selection AND dosing recommendations 7. **Guideline-concordant** - Reference NCCN, ACC/AHA, ADA, and other guidelines 8. **Source-referenced** - Every statement cites the tool/database source 9. **Completeness checklist** - Mandatory section showing data availability and analysis coverage 10. **English-first queries** - Alwa
- When to Use
- Input Parsing
- Required Input
- Strongly Recommended
- Optional (improves stratification)
- Input Format Examples
- Disease Type Classification
- Gene Symbol Normalization
- Phase 0: Tool Parameter Reference (CRITICAL)
- Verified Tool Parameters
- Response Format Notes
- Workflow Overview
- Phase 1: Disease Disambiguation & Profile Standardization
- Step 1.1: Resolve Disease to EFO ID
What does the tooluniverse-precision-medicine-stratification skill do?
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
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-precision-medicine-stratification --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.