Is it suitable for clinical or medical research?

Absolutely. It supports the PICO framework (Population, Intervention, Comparison, Outcome) and clinical database searches common in biomedical research methodologies.

How does it ensure the accuracy of the cited references?

The skill includes a dedicated verification phase that checks DOIs against CrossRef to ensure all metadata is accurate and the citations actually resolve to published work.

Can this skill format citations in specific academic styles?

Yes, it can generate citations and bibliographies in multiple standard styles including APA, Nature, Vancouver, Chicago, and IEEE.

Which academic databases does the Literature Review skill support?

It supports a wide range of academic databases including PubMed, arXiv, bioRxiv, Semantic Scholar, and specialized tools like gget and bioservices for life sciences.

Scientific Literature Review

Name: Scientific Literature Review
Author: Zehong-Wang

byZehong-Wang

0•

Data Science & ML

Automates the end-to-end process of conducting systematic literature reviews and generating academic-grade reports with verified citations.

The Literature Review skill enables Claude to perform rigorous, multi-phase academic research by searching specialized databases like PubMed, arXiv, and Semantic Scholar. It streamlines the entire research workflow—from defining PICO questions and deduplicating results to thematic synthesis and PRISMA flow diagram generation. With built-in citation verification against CrossRef and support for multiple styles such as APA, Nature, and Vancouver, it ensures that researchers and scientists produce high-quality, formatted markdown and PDF documents backed by verified evidence.

Key Features

01Rigorous citation verification using DOIs and CrossRef metadata

02Automated deduplication and systematic screening workflow (PRISMA)

03Professional document generation in Markdown and PDF formats

04Multi-database search across PubMed, arXiv, bioRxiv, and Semantic Scholar

05Thematic synthesis tools for grouping findings and identifying research gaps

060 GitHub stars

Use Cases

01Writing systematic literature reviews for academic journals, theses, or grant proposals

02Synthesizing the state-of-the-art in technical domains to inform new R&D projects

03Conducting rapid evidence synthesis for clinical or biomedical research questions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos literature-review

For use in Claude.ai and ChatGPT

Download Skill