Agent skill · research science · aiskillstore
clinical-decision-support
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
Why this skill is useful
Generates executable LaTeX scripts for publication-ready clinical decision support documents with advanced statistical analyses and regulatory compliance features.
What it needs
About 10k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Clinical Decision Support Documents Description Generate professional clinical decision support (CDS) documents for pharmaceutical companies, clinical researchers, and medical decision-makers. This skill specializes in analytical, evidence-based documents that inform treatment strategies and drug development: 1. Patient Cohort Analysis - Biomarker-stratified group analyses with statistical outcome comparisons 2. Treatment Recommendation Reports - Evidence-based clinical guidelines with GRADE grading and decision algorithms All documents are generated as publication-ready LaTeX/PDF files optimized for pharmaceutical research, regulatory submissions, and clinical guideline development. Note: For individual patient treatment plans at the bedside, use the treatment-plans skill instead. This skill focuses on group-level analyses and evidence synthesis for pharmaceutical/research settings. Writing Style: For publication-ready documents targeting medical journals, consult the venue-templates skill's medicaljournalstyles.md for guidance on structured abstracts, evidence language, and CONSORT/STROBE compliance. Capabilities Document Types Patient Cohort Analysis Biomarker-based patient stratification (molecular subtypes, gene expression, IHC) Molecular subtype classification (e.g., GBM mesenchymal-immune-active vs proneural, breast cancer subtypes) Outcome metrics with statistical analysis (OS, PFS, ORR, DOR, DCR) Statistical comparisons between subgroups (hazard ratios, p-values, 95% CI) Survival analysis with Kaplan-Meier curves and log-rank tests Efficacy tables and waterfall plots Comparative effectiveness analyses Pharmaceutical cohort reporting (trial subgroups, real-world evidence) Treatment Recommendation Reports Evidence-based treatment guidelines for specific disease states Strength of recommendation grading (GRADE system: 1A, 1B, 2A, 2B, 2C) Quality of evidence assessment (high, moderate, low, very low) Treatment algorithm flowcharts with TikZ diagrams Line-of-the …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/clinical-decision-support--813c07