Skills for Real Engineers. Straight from my .agents directory.
39 skills
clinical-decision-support
Agent skill from
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.
How to install clinical-decision-support
install clinical-decision-support
# install the Vibe-Skills pack with the skills CLI
npx skills add foryourhealth111-pixel/Vibe-Skills# or add only this skill to Claude Code: copy the folder
bundled/skills/clinical-decision-support/
# into
~/.claude/skills/clinical-decision-support/ (all projects)
.claude/skills/clinical-decision-support/ (one project)
1# Clinical Decision Support Documents23## Description45Generate 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:671. **Patient Cohort Analysis** - Biomarker-stratified group analyses with statistical outcome comparisons82. **Treatment Recommendation Reports** - Evidence-based clinical guidelines with GRADE grading and decision algorithms910All documents are generated as publication-ready LaTeX/PDF files optimized for pharmaceutical research, regulatory submissions, and clinical guideline development.1112**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.1314## Capabilities1516### Document Types1718**Patient Cohort Analysis**19- Biomarker-based patient stratification (molecular subtypes, gene expression, IHC)20- Molecular subtype classification (e.g., GBM mesenchymal-immune-active vs proneural, breast cancer subtypes)21- Outcome metrics with statistical analysis (OS, PFS, ORR, DOR, DCR)22- Statistical comparisons between subgroups (hazard ratios, p-values, 95% CI)23- Survival analysis with Kaplan-Meier curves and log-rank tests24- Efficacy tables and waterfall plots25- Comparative effectiveness analyses26…
Excerpt shown under the repository's Apache-2.0 license.
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