clinical-decision-support

Generates clinical decision support documents from LaTeX/PDF with biomarker and statistical analyses.

Updated May 17, 2026
One-click install
npx skills add https://github.com/galeep/plugin-place --skill clinical-decision-support-galeep
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clinical-decision-support
Source: https://github.com/galeep/plugin-place/tree/main/plugins/claude-scientific-writer/skills/clinical-decision-support
Command: npx skills add https://github.com/galeep/plugin-place --skill clinical-decision-support-galeep

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of clinical decision support documents, providing a streamlined solution for generating patient cohort analyses, treatment recommendation reports, and more.

Core Features & Use Cases

  • Clinical Document Generation: Generate professional clinical decision support documents including patient cohort analyses and treatment recommendation reports.
  • Biomarker Analysis: Stratify patients by biomarkers and integrate genomic, expression, and molecular subtype classification.
  • Statistical Analysis: Perform Kaplan-Meier, Cox regression, and log-rank tests for survival analysis and response rates.
  • Use Case: A pharmaceutical company uses this Skill to generate a treatment recommendation report for a new drug based on a clinical trial dataset.

Quick Start

To generate a patient cohort analysis, use the following command: cds analyze cohort -i patient_data.csv

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 clinical decision support documents from trial data?

Yes, you can perform Kaplan-Meier survival analysis and Cox regression using the lifelines dependency to stratify patient cohorts. The Skill integrates these statistical models into clinical decision support documents for pharmaceutical research.

How do I stratify patients by biomarkers for clinical research?

You need Python for data analysis and LaTeX for document generation, alongside dependencies like pandas, scipy, and lifelines. This environment supports advanced clinical document generation, statistical modeling, and biomarker analysis workflows.

What's the best way to automate treatment recommendation reports?

Use this Skill to apply clinical guidelines and statistical modeling to clinical trial datasets for population-level analyses. It automates evidence synthesis and guideline development to produce precise clinical decision support documents.

Does the Skill support Kaplan-Meier and Cox regression for survival analysis?

Yes, you can perform Kaplan-Meier survival analysis and Cox regression using the lifelines dependency to stratify patient cohorts. The Skill integrates these statistical models into clinical decision support documents for pharmaceutical research.

Do I need Python and LaTeX to create clinical decision support PDFs?

You need Python for data analysis and LaTeX for document generation, alongside dependencies like pandas, scipy, and lifelines. This environment supports advanced clinical document generation, statistical modeling, and biomarker analysis workflows.

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