What document formats does this skill support?

It generates publication-quality LaTeX documents which can be compiled into professional PDFs, featuring color-coded recommendation boxes and high-quality scientific schematics.

Is the output compliant with clinical standards?

Yes, it follows the GRADE evidence grading system, uses professional medical nomenclature like SNOMED-CT and LOINC, and aligns with ICH-GCP regulatory standards.

Does it include statistical visualizations?

Yes, the skill supports the inclusion of Kaplan-Meier survival curves, waterfall plots, forest plots, and biomarker stratification trees using the scientific-schematics integration.

Can this skill be used for individual patient treatment plans?

No, this skill is specifically designed for group-level pharmaceutical and clinical research. For individual patient care at the bedside, use the 'treatment-plans' skill instead.

Clinical Decision Support (CDS) Generator

Name: Clinical Decision Support (CDS) Generator
Author: pur3v4d3r

bypur3v4d3r

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Data Science & ML

Generates professional, publication-ready clinical decision support documents, biomarker-stratified cohort analyses, and evidence-based treatment guidelines.

About

This skill empowers Claude to produce sophisticated pharmaceutical and clinical research documentation, focusing on group-level analyses and evidence synthesis. It specializes in biomarker-stratified patient cohort studies and treatment recommendation reports that utilize the GRADE evidence grading system. Designed for drug development, medical affairs, and regulatory submissions, the skill integrates statistical analysis—including hazard ratios and survival curves—and automatically generates scientific schematics to visualize complex treatment pathways. All outputs are formatted in publication-quality LaTeX/PDF, ensuring professional presentation for medical societies and pharmaceutical strategy.

Key Features

Evidence-based treatment guidelines with GRADE methodology (1A, 1B, 2A, etc.).
Integration of statistical metrics including Hazard Ratios, Kaplan-Meier curves, and waterfall plots.
Automated generation of scientific schematics and clinical decision flowcharts.
Publication-ready LaTeX/PDF output optimized for pharmaceutical and regulatory use.
1 GitHub stars
Biomarker-stratified patient cohort analysis and statistical outcome comparisons.

Use Cases

Creating medical strategy documents and KOL education materials for pharmaceutical medical affairs.
Developing Phase 2/3 clinical trial analysis reports and biomarker-guided efficacy summaries.
Synthesizing real-world evidence into clinical practice guidelines and treatment algorithms.

About

Key Features

Evidence-based treatment guidelines with GRADE methodology (1A, 1B, 2A, etc.).
Integration of statistical metrics including Hazard Ratios, Kaplan-Meier curves, and waterfall plots.
Automated generation of scientific schematics and clinical decision flowcharts.
Publication-ready LaTeX/PDF output optimized for pharmaceutical and regulatory use.
1 GitHub stars
Biomarker-stratified patient cohort analysis and statistical outcome comparisons.

Use Cases

Creating medical strategy documents and KOL education materials for pharmaceutical medical affairs.
Developing Phase 2/3 clinical trial analysis reports and biomarker-guided efficacy summaries.
Synthesizing real-world evidence into clinical practice guidelines and treatment algorithms.