literature-review

A systematic literature review across multiple databases like PubMed and arXiv requires cross-database search, title/abstract screening, and data extraction. This skill automates querying these sources and guides the entire synthesis workflow.

Citation verification during evidence synthesis works by validating references against Crossref and OpenAlex metadata. This skill automatically retrieves and checks scholarly metadata to ensure all cited sources in your review are accurate.

Generating PRISMA-compliant documentation for a scoping review involves structured reporting of search, screening, and extraction stages. This skill produces formatted Markdown and PDF outputs with template-driven reporting adhering to PRISMA guidelines.

You can use pandoc to convert systematic review outputs into formatted PDFs. This skill leverages pandoc-based workflows alongside included scripts and templates to generate publish-ready documents from your synthesized evidence.

This literature review tool supports biomedical and technical domains. It is designed for researchers conducting systematic, scoping, or meta-analytic reviews across scientific fields, integrating databases like bioRxiv and Semantic Scholar for comprehensive evidence.

The best way to perform quality assessment during a meta-analytic literature review is following established guidelines like AMSTAR-2. This skill guides structured quality assessment and thematic synthesis to ensure rigorous evidence evaluation.