systematic-literature-review

To automate a systematic literature review, this Skill retrieves academic papers, extracts metadata in parallel, synthesizes themes, and formats citations. It handles the entire workflow from paper retrieval to generating a structured thematic report.

Yes, you can generate citations in APA, IEEE, or BibTeX format. The Skill extracts metadata from retrieved papers and automatically formats the references according to your specified academic citation style.

To conduct thematic analysis on arXiv papers, the Skill evaluates multiple documents to identify convergences, disagreements, and gaps in the literature. It is optimized for computer science and machine learning research available on arXiv.

Yes, subagent support is required to extract metadata from academic papers. The Skill relies on parallel processing capabilities to efficiently retrieve and extract metadata across multiple academic papers simultaneously.

The best way to synthesize academic literature is to request a review on your specific topic, such as transformer architectures, specifying the number of papers and citation format. The Skill then retrieves, analyzes, and synthesizes the research automatically.

The tool is optimized for computer science and machine learning literature on arXiv. While it can process multiple academic papers, its retrieval and thematic analysis mechanisms are specifically tuned for arXiv-based research domains.