Does this skill handle duplicate entries from different databases?

Yes, it includes a systematic deduplication phase that removes redundant results using primary DOI matching and fallback title matching.

How does it help with the screening process?

It provides a structured workflow for title, abstract, and full-text screening, and can generate a PRISMA flow diagram to document the inclusion and exclusion of studies.

Which databases does this skill support for literature searches?

The skill supports major academic databases including PubMed, PubMed Central, arXiv, bioRxiv, medRxiv, and Semantic Scholar, as well as specialized tools like ChEMBL and UniProt.

Can it automatically format citations for my research paper?

Yes, it can format citations in multiple professional styles including APA, Nature, Vancouver, Chicago, and IEEE, and includes a verification step to ensure DOIs are valid.

Scientific Literature Review

Name: Scientific Literature Review
Author: Microck

byMicrock

•

Data Science & ML

Conducts systematic, comprehensive literature reviews across major scientific databases with verified citations and professional document generation.

The Scientific Literature Review skill enables researchers and developers to perform rigorous, multi-phase literature synthesis by integrating with academic databases such as PubMed, arXiv, bioRxiv, and Semantic Scholar. It streamlines the entire research workflow—from defining PICO frameworks and deduplicating search results to thematic analysis and automated citation verification. By utilizing specialized tools for result aggregation and document formatting, it helps users identify research gaps and generate submission-ready reports in Markdown or PDF formats using standard academic styles.

Key Features

01Multi-database search integration (PubMed, arXiv, bioRxiv, Semantic Scholar)

02Systematic screening workflow with deduplication and PRISMA flow diagrams

03Automated citation verification via DOI cross-referencing with CrossRef

04Professional document generation in APA, Nature, Vancouver, and IEEE styles

0581 GitHub stars

06Thematic synthesis and data extraction from scientific studies

Use Cases

01Writing the background or literature review section for a peer-reviewed research paper or thesis

02Performing meta-analyses or scoping reviews to synthesize current knowledge in a specific domain

03Investigating state-of-the-art developments and identifying research gaps for new projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills literature-review

For use in Claude.ai and ChatGPT

Download Skill