literature-review

Automate systematic literature reviews across PubMed, arXiv, and bioRxiv databases.

1|1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/youyinnn/skills-collection --skill literature-review-youyinnn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/youyinnn/skills-collection/tree/main/plugins/literature-and-topic-selection/skills/literature-review
Command: npx skills add https://github.com/youyinnn/skills-collection --skill literature-review-youyinnn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, 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 rigor, reproducibility, and professional output.

Core Features & Use Cases

  • Systematic Search: Integrates with multiple academic databases (PubMed, arXiv, etc.) for comprehensive searches.
  • Data Extraction & Synthesis: Extracts key data, assesses quality, and synthesizes findings thematically.
  • Professional Output: Generates formatted markdown documents and PDFs with verified citations.
  • Use Case: A PhD student needs to write the literature review chapter for their thesis. This Skill helps them systematically identify, screen, extract data from, and synthesize hundreds of relevant papers, producing a high-quality, well-cited review document.

Quick Start

Use the literature-review skill to conduct a systematic review on the efficacy of CRISPR for sickle cell disease, searching PubMed and bioRxiv.

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 academic databases like PubMed and arXiv?

To conduct a systematic literature review across PubMed and arXiv, you can automate search strategy development, data extraction, and thematic synthesis. This process extracts key data and generates formatted markdown and PDF outputs with verified citations.

What is the best way to automate data extraction and quality assessment for academic writing?

Automating data extraction and quality assessment for academic writing involves using systematic review tools to screen papers, extract key findings, and synthesize themes. This ensures rigor and reproducibility while producing professionally formatted documents.

Can I generate a PDF with verified citations from multiple bioRxiv searches?

Yes, you can generate a PDF with verified citations from bioRxiv searches. The process integrates systematic search strategies to extract data and synthesize findings, outputting professionally formatted markdown and PDF documents.

Does this systematic review approach work for large-scale research synthesis for a PhD thesis?

Yes, this systematic review approach works for large-scale research synthesis for a PhD thesis. It helps systematically identify, screen, extract data from, and synthesize hundreds of relevant papers to produce a high-quality, well-cited review document.

Do I need the requests library to perform automated literature searches and thematic synthesis?

Yes, you need the requests library to perform automated literature searches and thematic synthesis. This dependency facilitates interacting with academic databases like PubMed, arXiv, and bioRxiv to retrieve and process research papers.