What problem does it solve? Conducting a rigorous literature review requires searching many databases, deduplicating results, screening papers, verifying citations, and formatting output — a slow, error-prone manual process. This Skill structures the entire workflow so reviews are reproducible, comprehensive, and publication-ready. ## Core Features & Use Cases - Multi-Database Search: Query PubMed, bioRxiv, arXiv, Semantic Scholar, and web sources via parallel-cli, gget, and bioservices, then aggregate and deduplicate results. - Citation Verification & Formatting: Validate every DOI against CrossRef and format references in APA, Nature, Vancouver, Chicago, or IEEE styles. - Professional Document Generation: Produce structured markdown reviews and styled PDFs via pandoc/xelatex, plus AI-generated schematics such as PRISMA flow diagrams. - Use Case: A graduate student writing a thesis chapter on CRISPR therapies can run the full pipeline — search, screen, synthesize thematically, verify citations, and export a formatted PDF — in a single guided workflow. ## Quick Start Ask the AI to conduct a systematic literature review on your research topic, searching PubMed, arXiv, and bioRxiv, and generate a cited PDF report.