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Zehong-Wang
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clinical-decision-support

Generate biomarker-stratified clinical decision support reports with GRADE grading.

Updated Aug 23, 2026
Search Tags:#latex#cohort analysis#clinical decision support#treatment recommendations#biomarker stratification#grade methodology
One-click install
npx skills add https://github.com/Zehong-Wang/Kosmos --skill clinical-decision-support-zehong-wang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clinical-decision-support
Source: https://github.com/Zehong-Wang/Kosmos/tree/main/kosmos-reference/kosmos-claude-scientific-writer/.claude/skills/clinical-decision-support
Command: npx skills add https://github.com/Zehong-Wang/Kosmos --skill clinical-decision-support-zehong-wang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scipy, scikit-learn, lifelines, matplotlib, pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of complex, evidence-based clinical decision support documents, saving medical professionals significant time and ensuring adherence to rigorous standards.

Core Features & Use Cases

  • Biomarker Stratification: Analyze patient cohorts based on molecular or clinical markers.
  • Treatment Recommendations: Develop evidence-based guidelines with GRADE grading and decision algorithms.
  • Use Case: A pharmaceutical researcher needs to generate a report comparing patient outcomes stratified by PD-L1 expression levels for a new oncology drug submission. This Skill can produce a publication-ready document with statistical analyses and visualizations.

Quick Start

Use the clinical-decision-support skill to generate a treatment recommendation report for HER2-positive metastatic breast cancer.

Frequently Asked Questions about clinical-decision-support

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a biomarker stratified patient cohort analysis report?▼

To generate a biomarker stratified cohort analysis, this Skill automates statistical evaluation and visualization of patient groups based on molecular markers. It processes clinical data and outputs publication-ready LaTeX/PDF documents with integrated survival analyses.

Can I create evidence-based treatment recommendations using GRADE methodology automatically?▼

Yes, you can automate clinical decision support document creation with GRADE grading and decision algorithms. The Skill integrates evidence-based guidelines into the report structure, ensuring treatment recommendations meet rigorous pharmaceutical research compliance standards.

Does this clinical decision support tool require pandas and scipy for statistical analysis?▼

Yes, the clinical decision support workflow requires pandas, numpy, scipy, and scikit-learn to perform statistical analysis and biomarker integration. These dependencies power the underlying cohort evaluation and survival data processing capabilities.

What is the best way to output publication-ready clinical documents for oncology drug submissions?▼

The best way to produce publication-ready clinical documents is using LaTeX/PDF output combined with matplotlib visualizations. This Skill formats biomarker-stratified patient outcomes and statistical analyses into professional reports suitable for regulatory submission.

Are there limitations when integrating lifelines for survival analysis in clinical decision support reports?▼

Limitations depend on the lifelines library's ability to process your specific cohort data structure. While the Skill automates survival analysis integration, ensure your input data matches expected formats for biomarker stratification and statistical modeling before report generation.

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