Verified:GitHub

literature-review

Conduct systematic literature reviews across academic databases with citation verification.

2|Updated Feb 2, 2026

Search Tags:#systematic review #literature review #academic research #data synthesis #scientific writing #citation management

Ready to run

npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill literature-review-weiwei-mao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/Weiwei-Mao/hydrology-skills/tree/main/hydrology-skills/literature-review
Command: npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill literature-review-weiwei-mao

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 thoroughness, accuracy, and professional output.

Core Features & Use Cases

Systematic Search: Integrates with multiple academic databases (PubMed, arXiv, Semantic Scholar) to find relevant literature.
Citation Verification: Ensures all citations are accurate and properly formatted using tools like CrossRef.
Professional Output: Generates high-quality markdown and PDF documents with verified citations and optional figures.
Use Case: A researcher needs to write the literature review section for a grant proposal. This Skill helps them quickly gather, synthesize, and format all relevant existing research, saving days of manual work.

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 conduct a systematic literature review across multiple academic databases?▼

To conduct a systematic literature review, this Skill integrates search across PubMed, arXiv, and Semantic Scholar to gather relevant literature. It then synthesizes the data and formats the output for research synthesis and publication writing.

What is the best way to automate citation verification for academic research?▼

Automating citation verification for academic research is handled by integrating CrossRef tools to ensure accuracy. The Skill automatically checks citations and formats them properly within the generated markdown and PDF documents.

Can I generate a formatted PDF document with verified citations for a grant proposal?▼

Yes, you can generate professional PDF and markdown documents with verified citations for grant proposals. The Skill formats the synthesized literature review, including optional figures, to meet publication standards.

Do I need Python packages to perform data synthesis for a meta-analysis?▼

Yes, you need Python packages like requests to perform data synthesis for meta-analyses. These dependencies are required for API access to academic databases, data processing, and final document formatting.

Does this literature review tool work with scientific writing for meta-analyses?▼

Yes, this tool works with scientific writing for meta-analyses by supporting rigorous academic methodology. It systematically gathers and synthesizes existing research to help you write comprehensive review sections.

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

Automated search for systematic reviews relies on API access to PubMed, arXiv, and Semantic Scholar, so limitations include database coverage boundaries and the need for Python dependency setup. Manual verification of synthesized data may still be required.