literature-review

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

2|1|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/neflibata-feng/MyArxiv-Agent --skill literature-review-neflibata-feng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/neflibata-feng/MyArxiv-Agent/tree/main/agent/skills/CorePipeline/literature-review
Command: npx skills add https://github.com/neflibata-feng/MyArxiv-Agent --skill literature-review-neflibata-feng

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 comprehensive coverage, verified citations, and professional output.

Core Features & Use Cases

  • Systematic Search: Integrates with multiple academic databases (PubMed, arXiv, Semantic Scholar, etc.) to perform thorough literature searches.
  • Data Extraction & Synthesis: Extracts key data from studies and synthesizes findings thematically.
  • Citation Verification: Ensures all citations are accurate and formatted correctly.
  • Professional Output: Generates high-quality markdown documents and PDFs with verified citations in multiple styles.
  • Use Case: Researchers can use this Skill to quickly generate the literature review section for a grant proposal or research paper, ensuring all relevant studies are identified and synthesized accurately.

Quick Start

Use the literature-review skill to conduct a systematic review on the efficacy of CRISPR gene editing 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 automate a systematic literature review across academic databases?

Automate a systematic literature review by querying multiple academic databases like PubMed, arXiv, and Semantic Scholar to extract studies, synthesize findings thematically, and generate formatted markdown and PDF documents.

Can I use this to verify citations for a meta-analysis research synthesis?

Yes, you can verify citations for a meta-analysis research synthesis because the process includes checking citation accuracy and generating professionally formatted documents with verified references across multiple styles.

What is the best way to extract and synthesize findings for a systematic review?

The best way to extract and synthesize findings for a systematic review is using an automated approach that pulls data from academic databases and groups the extracted results thematically.

Does this systematic search approach work with PubMed and arXiv for state-of-the-art research identification?

Yes, this systematic search approach works with PubMed and arXiv, integrating these databases to identify state-of-the-art research in scientific and technical domains for comprehensive coverage.

Do I need the requests library to conduct an academic search and generate a PDF?

Yes, you need the requests library installed as a dependency to perform the academic search queries across external databases and generate the final PDF documents.

What are the limitations of using automated academic search for systematic reviews?

A limitation of automated academic search for systematic reviews is that database coverage is restricted to integrated sources like PubMed, arXiv, and Semantic Scholar, potentially missing studies published elsewhere.