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clinical-decision-support

8.7

by davila7

87Favorites
252Upvotes
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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.

clinical-analytics

8.7

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Data & Analytics

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Quick Review

Exceptional clinical decision support skill for pharmaceutical and clinical research applications. The description is comprehensive and clearly delineates use cases (cohort analyses vs treatment recommendations), target audiences (pharma/research vs bedside care), and outputs (publication-ready LaTeX/PDF documents). Task knowledge is extensive with detailed specifications for biomarker stratification, statistical methods, GRADE evidence grading, and regulatory compliance. Structure is well-organized with clear sections, though SKILL.md is lengthy; however, the complexity justifies the detail, and references to templates/scripts in other files demonstrate appropriate modularization. Novelty is high: generating publication-ready clinical documents with survival curves, forest plots, GRADE grading, and biomarker-stratified analyses would require hundreds of CLI prompts and deep domain expertise. The mandatory executive summary requirement and integration with scientific-schematics for figures adds significant value. Minor verbosity in SKILL.md could be streamlined, but overall this is a highly specialized, well-executed skill that meaningfully reduces token cost for complex pharmaceutical documentation tasks.

LLM Signals

Description coverage10
Task knowledge9
Structure9
Novelty9

GitHub Signals

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Last commit 0 days ago

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davila7

davila7

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