Which scientific databases can this skill search?

The skill supports major databases including PubMed, arXiv, bioRxiv, Semantic Scholar, and specialized sources like ChEMBL, UniProt, and KEGG.

How does the skill handle citation accuracy?

It includes a dedicated verification phase that checks DOIs against CrossRef metadata to ensure every citation resolves correctly and contains accurate author/title info.

Does it support standard academic citation styles?

Yes, it can format references in several styles including APA, Nature, Vancouver, Chicago, and IEEE.

Can I use this for systematic reviews and PRISMA diagrams?

Absolutely. The skill follows a multi-phase systematic workflow that tracks exclusions at every stage to generate PRISMA-compliant flow diagrams.

Scientific Literature Reviewer

Name: Scientific Literature Reviewer
Author: Activer007

byActiver007

数据科学与机器学习

Conducts systematic, comprehensive literature reviews across multiple scientific databases with verified citations and professional formatting.

关于

The Literature Review skill empowers researchers to perform rigorous academic methodology for literature synthesis, meta-analysis, and scoping reviews. It automates multi-database searches across PubMed, arXiv, bioRxiv, and Semantic Scholar, while managing the complex lifecycle of a review—from PICO framework planning and deduplication to thematic synthesis and citation verification. By integrating specialized scientific tools, it ensures that every reference is verified via DOI and formatted professionally in Markdown or PDF for academic publication.

主要功能

Systematic screening workflow with PRISMA flow diagram generation
Multi-database search integration (PubMed, arXiv, bioRxiv, Semantic Scholar)
Thematic synthesis and data extraction tools for meta-analysis
Automated DOI verification and citation formatting (APA, Nature, IEEE, etc.)
Professional PDF and Markdown document generation
0 GitHub stars

使用场景

Synthesizing current research for the 'State of the Art' section of a thesis or paper
Identifying research gaps and future directions in emerging technical domains
Conducting clinical meta-analyses using the PICO framework and biomedical databases

关于

主要功能

Systematic screening workflow with PRISMA flow diagram generation
Multi-database search integration (PubMed, arXiv, bioRxiv, Semantic Scholar)
Thematic synthesis and data extraction tools for meta-analysis
Automated DOI verification and citation formatting (APA, Nature, IEEE, etc.)
Professional PDF and Markdown document generation
0 GitHub stars

使用场景

Synthesizing current research for the 'State of the Art' section of a thesis or paper
Identifying research gaps and future directions in emerging technical domains
Conducting clinical meta-analyses using the PICO framework and biomedical databases