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literature-review

Automate systematic literature reviews across PubMed, arXiv, and Semantic Scholar.

6|Updated Mar 4, 2026
Search Tags:#research#systematic review#literature review#academic search#citation verification#pdf analysis
One-click install
npx skills add https://github.com/HorizonGazer/PaperTalker-CLI --skill literature-review-horizongazer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/HorizonGazer/PaperTalker-CLI/tree/main/skills/literature-review
Command: npx skills add https://github.com/HorizonGazer/PaperTalker-CLI --skill literature-review-horizongazer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, feedparser, PyPDF2, PyMuPDF, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of conducting systematic literature reviews, ensuring comprehensive research and accurate citation.

Core Features & Use Cases

  • Systematic Search: Searches multiple academic databases (PubMed, arXiv, Semantic Scholar, etc.) using advanced strategies.
  • Data Extraction & Synthesis: Extracts key data, assesses study quality, and synthesizes findings thematically.
  • Citation Verification: Verifies all DOIs and formats citations professionally.
  • Document Generation: Produces high-quality markdown and PDF reports.
  • Use Case: A researcher needs to write the literature review section for a grant proposal on CRISPR gene editing for sickle cell disease. This Skill can perform the entire review process, from initial search to final PDF generation, ensuring all relevant literature is covered and cited correctly.

Quick Start

Use the literature-review skill to conduct a systematic review on the topic of 'CRISPR gene editing for sickle cell disease'.

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 academic databases?▼

Automate a systematic literature review by querying multiple academic databases like PubMed, arXiv, and Semantic Scholar, synthesizing findings thematically, and generating professional markdown and PDF reports.

Can I extract and analyze data from academic PDFs for my research?▼

Yes, you can extract and analyze data from academic PDFs by deep reading PDF content using PyMuPDF and PyPDF2, allowing you to assess study quality and synthesize findings thematically.

What is the best way to verify citations and check DOIs for academic papers?▼

The best way to verify citations is by performing automated DOI checks to validate references, ensuring rigorous academic methodology and formatting citations professionally in the final review document.

Does this tool support searching PubMed and arXiv for systematic reviews?▼

Yes, this tool supports searching PubMed and arXiv, along with Semantic Scholar, using advanced search strategies to comprehensively gather relevant literature for systematic reviews.

How do I generate a professional PDF document from academic search results?▼

Generate a professional PDF document by synthesizing extracted data from academic search results and utilizing automated document generation to produce high-quality markdown and PDF reports.

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