literature-review

To automate a systematic literature review, this Skill integrates search across academic databases like PubMed and arXiv to gather studies, extract data, assess quality, and synthesize findings. It generates formatted Markdown and PDF documents with verified citations.

Yes, you can verify citations and format references in APA, Nature, or Vancouver styles. The Skill automatically verifies DOI accuracy and citation details, then outputs professionally formatted Markdown documents and PDFs in your specified citation style.

The best way to extract and synthesize data for scientific writing is using automated data extraction and quality assessment. This Skill systematically gathers relevant studies across multiple academic platforms, synthesizes the data, and generates professional documents with verified citations.

Yes, you need to install the requests dependency to perform data synthesis. This Python library enables the Skill to communicate with integrated academic databases and retrieve the research papers needed for systematic literature reviews and citation verification.

Citation management for systematic reviews works by automatically verifying all DOIs and citation details for accuracy across gathered studies. The Skill then generates professionally formatted Markdown documents and PDFs using specified citation styles like APA, Nature, or Vancouver.

Limitations of automating academic research data synthesis include dependence on the coverage and API availability of integrated academic databases like PubMed, arXiv, and Semantic Scholar. The Skill requires the requests library and cannot verify citations for studies lacking accessible DOIs or metadata.