literature-review

Automating a systematic literature review requires querying databases like PubMed, arXiv, and bioRxiv. This Skill integrates database searching, citation verification, and document generation to extract findings and output formatted markdown or PDF reviews.

Yes, searching PubMed and Semantic Scholar together for a meta-analysis is supported. The Skill requires access to these databases, alongside arXiv and bioRxiv, to ensure comprehensive literature coverage and accurate data extraction.

The best way to verify citations during a systematic review is through automated cross-referencing. This Skill includes a citation verification feature that ensures the accuracy of all references extracted during the database searching process.

Generating a PDF document from academic research findings involves synthesizing database search results. This Skill automates document generation, taking your extracted literature and outputting professional markdown or PDF documents.

While it applies to academic research and systematic reviews broadly, its database dependencies include PubMed, bioRxiv, and gget, which are heavily oriented towards biological and life sciences research.

Comprehensive systematic review coverage requires access to PubMed, arXiv, bioRxiv, and Semantic Scholar. The Skill queries these databases to extract data and synthesize findings for your literature review.