Skip to main content
ml-data

literature-review

2.8k starsUpdated 2026-01-03
Compatible with:claude

Description

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical,

How to Use

  1. Visit the GitHub repository to get the SKILL.md file
  2. Copy the file to your project root or .cursor/rules directory
  3. Restart your AI assistant or editor to apply the new skill

Tags

#literature-review#claude

About literature-review

literature-review is an AI skill in the ml-data category, designed to help developers and users work more effectively with AI tools. Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical,

This skill has earned 2,800 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude.

Key Capabilities

literature review
claude

Why Use literature-review

Adding literature-review to your AI workflow can significantly enhance your productivity in ml-data tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.

Whether you use claude, you can easily integrate this skill into your existing development environment.

Explore More ml-data Skills

Discover more AI skills in the ml-data category to build a comprehensive AI skill stack.