Scientific Literature Review

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Conducts rigorous, systematic literature reviews across academic, biomedical, and technical domains using standardized research protocols.

This skill provides a comprehensive framework for performing high-rigor literature reviews, including narrative, scoping, and systematic methodologies. It guides Claude through defining research questions using PICO or technical frameworks, planning reproducible searches across databases like PubMed and arXiv, and executing multi-stage screening processes. By enforcing structured data extraction and thematic synthesis, it helps researchers identify gaps, resolve conflicting evidence, and generate citation-backed reports with verified DOIs and confidence-level assessments.

Características Principales

01214,448 GitHub stars
02Framework-driven research question definition (PICO and Technical)
03Standardized output templates for formal academic reporting
04Structured search protocols for PubMed, arXiv, and Semantic Scholar
05Systematic evidence logging and automated deduplication workflows
06Thematic synthesis categorized by evidence confidence levels

Casos de Uso

01Preparing citation-backed background sections for academic papers or technical reports
02Mapping the state-of-the-art and identifying research gaps for new projects
03Synthesizing clinical evidence from peer-reviewed papers and preprints