literature-review

Systematic literature reviews query multiple databases like PubMed, arXiv, Web of Science, and Scopus simultaneously to gather evidence. This Skill automates multi-database searches, iterative query refinement, and structured data extraction to produce comprehensive, bias-assessed syntheses following PRISMA guidelines for academic writing and research planning.

Narrative reviews summarize existing literature informally; systematic reviews use predefined protocols and quality assessment (GRADE, ROBINS-I, CASP); scoping reviews map research landscapes quickly. This Skill supports all three approaches with structured workflows, thematic synthesis, and publication-ready reporting in APA or Chicago styles.

Evidence synthesis requires extracting bibliographic and methodological details from papers, then rating their quality using frameworks like GRADE or CASP to identify bias and strength. This Skill automates extraction across multiple sources and applies quality assessment tools to generate structured, defensible evidence summaries.

Yes. This Skill supports meta-analyses and generates PRISMA-compliant reports by integrating multi-database queries, systematic screening, quality assessment, and citation management. Output follows standard academic styles for grant proposals, policy development, and peer-reviewed publication.

This Skill queries PubMed, arXiv, Web of Science, Scopus, IEEE Xplore, ACM Digital Library, and general web search. Multi-source integration enables comprehensive evidence collection across life sciences, computer science, engineering, and other domains in a single workflow.