literature-review

Systematic literature reviews involve planning a search strategy, querying multiple databases like PubMed and arXiv simultaneously, applying inclusion/exclusion criteria, and extracting data systematically. This Skill automates multi-database searching, screening, and PRISMA-compliant reporting to ensure rigor and reproducibility across biomedical, scientific, and technical research.

PRISMA is a reporting standard that ensures systematic reviews are transparent, complete, and reproducible. This Skill generates PRISMA flow diagrams and compliant reports automatically, helping you document your review process, justify decisions, and meet publication standards in research syntheses and meta-analyses.

Yes. This Skill verifies citations against your sources, exports findings in markdown and PDF formats, and supports multiple citation styles. This ensures your literature review output is publication-ready and compatible with different journals and reference management workflows.

This Skill guides systematic data extraction from screened studies and includes quality assessment workflows to evaluate risk of bias. Combined with thematic synthesis, these steps transform raw search results into structured, analyzed evidence ready for meta-analysis or research synthesis reporting.

Effective search strategy requires mapping domain-specific terms to each database's indexing system. This Skill helps you define your review question, translate search terms across PubMed, bioRxiv, medRxiv, Semantic Scholar, and arXiv, and plan inclusion/exclusion criteria upfront to ensure comprehensive, unbiased coverage.