literature-review

Conduct systematic literature reviews across academic databases with verified citations and PDF output.

Updated Sep 2, 2026
One-click install
npx skills add https://github.com/ricfulop/cba-agentic-engineering-bootstrap --skill literature-review-ricfulop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/ricfulop/cba-agentic-engineering-bootstrap/tree/main/skills/literature-review
Command: npx skills add https://github.com/ricfulop/cba-agentic-engineering-bootstrap --skill literature-review-ricfulop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-dotenv, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve? Conducting a rigorous literature review requires searching many databases, deduplicating results, screening papers, verifying citations, and formatting output — a slow, error-prone manual process. This Skill structures the entire workflow so reviews are reproducible, comprehensive, and publication-ready. ## Core Features & Use Cases - Multi-Database Search: Query PubMed, bioRxiv, arXiv, Semantic Scholar, and web sources via parallel-cli, gget, and bioservices, then aggregate and deduplicate results. - Citation Verification & Formatting: Validate every DOI against CrossRef and format references in APA, Nature, Vancouver, Chicago, or IEEE styles. - Professional Document Generation: Produce structured markdown reviews and styled PDFs via pandoc/xelatex, plus AI-generated schematics such as PRISMA flow diagrams. - Use Case: A graduate student writing a thesis chapter on CRISPR therapies can run the full pipeline — search, screen, synthesize thematically, verify citations, and export a formatted PDF — in a single guided workflow. ## Quick Start Ask the AI to conduct a systematic literature review on your research topic, searching PubMed, arXiv, and bioRxiv, and generate a cited PDF report.

Frequently Asked Questions about literature-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a systematic literature review across multiple databases?

Define a research question with PICO, then search at least three databases such as PubMed, bioRxiv, and arXiv using documented Boolean search strings. Aggregate results, deduplicate by DOI, screen titles and abstracts, and synthesize findings thematically following PRISMA guidelines.

How do I verify DOI citations in a research paper?

Run the verify_citations.py script on your markdown document to extract every DOI, check that each resolves correctly, and pull metadata from CrossRef. It produces a verification report and properly formatted citations in your chosen style.

What citation styles does the literature review PDF generation support?

The generate_pdf.py script supports APA, Nature, Chicago, Vancouver, and IEEE citation styles via the --citation-style flag. It uses pandoc with xelatex to produce a formatted PDF with table of contents and numbered sections.

Does this workflow require an API key for literature search?

Broad web search uses parallel-cli, which requires installation and authentication. AI schematic generation requires an OPENROUTER_API_KEY. PubMed and arXiv searches via gget and direct APIs work without keys, while Semantic Scholar benefits from one.

Why does PDF generation fail for my literature review?

PDF generation fails when pandoc or xelatex is not installed on the system. Run generate_pdf.py --check-deps to verify dependencies, then install pandoc and a TeX distribution such as MacTeX or texlive-xetex.

Should preprints from bioRxiv be included in a systematic review?

Yes, including preprints captures the latest unpublished findings, but they are not peer-reviewed so findings should be verified cautiously. Check whether each preprint has since been published via CrossRef and note the preprint version and date.