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kjgarza
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literature-review

Orchestrate multi-database literature searches and generate Markdown and PDF review drafts.

3|Updated Jan 1, 2026
Search Tags:#PRISMA#data-extraction#literature-review#systematic-review#citation-verification#multi-database-search#PDF-generation
One-click install
npx skills add https://github.com/kjgarza/marketplace-claude --skill literature-review-kjgarza
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/kjgarza/marketplace-claude/tree/main/plugins/scholarly-comms-researcher/skills/literature-review
Command: npx skills add https://github.com/kjgarza/marketplace-claude --skill literature-review-kjgarza

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandoc, xelatex, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines scholarly literature reviews by coordinating multi-database searches, deduplication, and citation verification, delivering reproducible synthesis artifacts.

Core Features & Use Cases

  • Multi-database search orchestration across PubMed, bioRxiv, arXiv, and Semantic Scholar via integrated tools (gget, bioservices, datacommons-client).
  • Automated deduplication, ranking, filtering, and summary statistics to support transparent evidence synthesis.
  • Citation verification and formatting across common styles, with generated metadata (title, authors, year, journal, DOI).
  • Output generation of structured Markdown drafts and professional PDFs suitable for manuscript preparation.
  • Use Case: A research team conducts a systematic review on a biomedical topic, gathers hundreds of papers, deduplicates to a clean set, validates DOIs, and produces a ready-to-submit PDF.

Quick Start

Run the literature-review workflow using the included scripts to search databases, deduplicate results, verify citations, and generate a draft review in Markdown and PDF.

Frequently Asked Questions about literature-review

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

FAQPage Schema
How do I automate a systematic literature review across multiple databases like PubMed and arXiv?▼

Automating a systematic literature review across PubMed, bioRxiv, arXiv, and Semantic Scholar involves orchestrating multi-database searches, deduplicating results, and verifying citations to produce reproducible Markdown and PDF outputs.

Can I generate a PRISMA-compliant systematic review draft in PDF format?▼

Yes, generating a PRISMA-compliant systematic review draft in PDF format is possible through automated deduplication, ranking, summary statistics, and document generation, yielding a ready-to-submit professional manuscript.

Do I need Python tooling like bioservices and pandoc to extract study metadata and generate PDFs?▼

Yes, extracting study metadata and generating PDFs requires Python tooling like gget, bioservices, and datacommons-client alongside pandoc and xelatex dependencies to execute search, deduplication, citation verification, and document generation scripts.

What's the best way to deduplicate search results and verify DOIs for a biomedical systematic review?▼

The best way to deduplicate search results and verify DOIs for a biomedical systematic review is using automated scripts that filter, rank, and validate citation metadata to ensure transparent evidence synthesis.

Does this systematic review workflow support scoping and narrative reviews in computational topics?▼

Yes, this systematic review workflow supports scoping and narrative reviews in computational topics by extracting key study metadata and generating structured Markdown drafts and professional PDFs across biomedical and computational domains.

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