What document formats are supported by this skill?

The skill generates publication-ready LaTeX source files which are compiled into high-quality PDFs, optimized for medical journals and regulatory authorities.

Does it support statistical data visualization?

Yes, it integrates survival analysis with Kaplan-Meier curves, hazard ratios, waterfall plots, and forest plots for subgroup comparisons.

How are evidence levels graded in the reports?

The skill utilizes the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) system, providing clear indicators such as 1A, 1B, 2A, etc., based on evidence quality.

Can I use this for individual patient treatment plans?

No, this skill is designed for population-level cohort analysis and pharmaceutical research. For individual bedside clinical care, use the dedicated 'treatment-plans' skill.

Clinical Decision Support (CDS) Writer

Name: Clinical Decision Support (CDS) Writer
Author: hyperbolic-c

byhyperbolic-c

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Data Science & ML

Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.

This skill automates the production of high-fidelity clinical decision support (CDS) documents, specializing in pharmaceutical research and clinical trial reporting. It facilitates the creation of complex biomarker-stratified cohort analyses and evidence-based treatment recommendations using the GRADE system. By integrating statistical metrics such as hazard ratios and Kaplan-Meier curves with professional LaTeX formatting, it produces documents suitable for regulatory submissions, medical journals, and clinical guideline development. Every document includes a mandatory executive summary and AI-generated visual schematics to ensure clarity for medical decision-makers.

Key Features

01Automated LaTeX/PDF generation optimized for pharmaceutical and regulatory standards

02Integration of statistical visualizations including survival curves and waterfall plots

031 GitHub stars

04Biomarker-stratified patient cohort analysis with statistical outcome comparisons

05Evidence-based treatment recommendation reports using the GRADE grading system

06Mandatory AI-generated clinical flowcharts and decision algorithm schematics

Use Cases

01Generating biomarker-stratified efficacy and safety analyses for Phase 2/3 clinical trials

02Developing formal clinical practice guidelines and treatment algorithms for medical societies

03Preparing evidence synthesis reports and real-world evidence (RWE) studies for regulatory submissions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hyperbolic-c/auto-writing clinical-decision-support

For use in Claude.ai and ChatGPT

Download Skill