literature-review

Systematic literature reviews automate comprehensive searches across PubMed, arXiv, Semantic Scholar, and Google Scholar, then deduplicate, screen, and extract data from results. This Skill orchestrates multi-database queries, verification, and aggregation to produce professionally formatted reports with verified citations and proper methodology documentation.

Yes. After aggregating search results across databases, this Skill generates Markdown and PDF outputs with verified citations using professional templates. The outputs include proper formatting, citation verification, and structured metadata suitable for meta-analyses and research syntheses.

Citation verification is built into the aggregation workflow. The Skill validates citations against database records and integrates with tools like gget and bioservices during data extraction, ensuring accuracy across biomedical, scientific, and technical domains without manual verification bottlenecks.

The Skill automates deduplication across multi-database results and implements screening workflows to filter relevant papers. It compiles extracted data into structured format, eliminating manual sorting and preparing clean datasets for synthesis and analysis.

Yes. The Skill is designed for meta-analyses, research syntheses, and rigorous literature searches in biomedical, scientific, and technical domains. It satisfies requirements for multi-database searching, data extraction, citation verification, and professional output generation required by systematic review protocols.

The primary dependency is the requests library for database queries. The Skill integrates with external tools like gget, bioservices, and datacommons-client for enhanced biomedical data access, but requests is the core requirement for multi-database searching and aggregation.