
Literature Review
Search PubMed, arXiv, bioRxiv simultaneously and generate formatted literature reviews with verif...
What You Can Do
You can conduct comprehensive literature reviews by simultaneously querying PubMed, arXiv, bioRxiv, and Semantic Scholar, then synthesizing the results into a coherent narrative organized by theme or research question. Claude verifies all citations for accuracy and generates publication-ready markdown and PDF documents with your choice of citation format, complete with PRISMA flow diagrams and research gap analysis.
Features
Query PubMed, arXiv, bioRxiv, and Semantic Scholar in one workflow to capture biomedical, preprint, and technical literature
Organize and synthesize findings by research theme, methodology, or research question with narrative integration
Validate all references for accuracy and completeness before inclusion in your final document
Generate citations in APA, Nature, Vancouver, IEEE, and other professional formats
Automatically generate systematic review flow diagrams showing search results, inclusion/exclusion criteria, and study selection
Highlight unexplored areas, conflicting findings, and future research directions
Output formatted markdown and PDF documents ready for publication or submission
Example Output
Example 1: Systematic Review on mRNA Vaccine Platforms
Search Results: 427 articles found across databases (PubMed: 234, arXiv: 89, bioRxiv: 104)
Synthesized Findings:
- Platform Development (2015-2020): 23 studies documenting evolution from Moderna and BioNTech prototypes
- Immunogenicity Mechanisms (2020-2024): 45 studies on innate immune activation and T-cell responses
- Clinical Efficacy: Phase III trials showing 90-95% effectiveness across variants
- Safety Profiles: Myocarditis reports in 1-2 per million doses
PRISMA Diagram: Flow chart showing 427 initial records → 312 screened → 89 full-text reviewed → 34 included studies
Citations: Smith et al. (2024). mRNA vaccine engineering. Nature Reviews, 25(3), 145-167.
Example 2: Scoping Review on AI in Drug Discovery
Key Findings Synthesized:
- Machine learning applications in target identification (12 studies)
- Virtual screening and molecular docking (18 studies)
- Clinical trial optimization (7 studies)
- Regulatory considerations (5 studies)
Research Gaps Identified:
- Limited long-term validation of AI predictions in clinical settings
- Need for explainability frameworks in regulatory submissions
- Data standardization across institutions
Citations formatted in Vancouver style with DOI verification.
What's Included
- literature-review SKILL.md instruction file with systematic review methodology:
- Multi-database search template with Boolean operators and query strategies for PubMed, arXiv, bioRxiv, and Semantic Scholar:
- PRISMA checklist for systematic review protocol and flow diagram specifications:
- Citation verification worksheet to validate and organize all references:
- Markdown template with sections for introduction, methods, results synthesis, discussion, and research gaps:
- Citation style reference guide for APA, Nature, Vancouver, and IEEE formats:
Who It's For
- Research scientists and postdoctoral fellows conducting systematic reviews or meta-analyses
- PhD students writing comprehensive literature review chapters or dissertation proposals
- Academic researchers preparing literature reviews for grant proposals or funding applications
- Healthcare professionals and clinicians synthesizing evidence for clinical practice guidelines
- Science communicators and science journalists creating evidence-based explainers on research topics
Best For
- Systematic literature reviews and meta-analyses across biomedical and scientific domains
- Scoping reviews to map research landscape on emerging topics
- Literature review sections of research papers, theses, and dissertations
- Grant proposal research summaries and significance statements
- Identifying research gaps, conflicting findings, and future research directions







