medlit-research

Search PubMed, Embase, and Cochrane, retrieve full texts, and extract PICO elements.

1|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/erongcao/medlit-research --skill medlit-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: medlit-research
Source: https://github.com/erongcao/medlit-research/tree/main
Command: npx skills add https://github.com/erongcao/medlit-research --skill medlit-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of searching, critically appraising, and analyzing medical literature, enabling faster and more informed evidence-based decision-making.

Core Features & Use Cases

  • Multi-Database Search: Conduct comprehensive literature searches across PubMed, Embase, and Cochrane Library.
  • Full-Text Retrieval: Automatically obtain full-text articles from PMC.
  • AI-Assisted Analysis: Extract PICO elements, generate summaries, and assess study quality using AI.
  • Critical Appraisal: Perform in-depth, structured critical appraisal of research papers based on study design.
  • Use Case: A researcher needs to conduct a systematic review on a new treatment. This Skill can rapidly search multiple databases, retrieve relevant full-text articles, and provide AI-driven summaries and quality assessments, significantly accelerating the review process.

Quick Start

Search PubMed for articles on 'intestinal fibrosis' published between 2022 and 2025, retrieving up to 20 results.

Frequently Asked Questions about medlit-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate medical literature search and critical appraisal across multiple databases?

You can automate medical literature search and critical appraisal by querying PubMed, Embase, and Cochrane simultaneously, retrieving full-text articles from PMC, and applying AI-assisted analysis to extract PICO elements and assess study quality.

What is the best way to extract PICO elements from research papers for a systematic review?

The best way to extract PICO elements for a systematic review is using AI-assisted analysis, which automatically identifies the population, intervention, comparison, and outcome components from retrieved research papers to accelerate evidence-based medicine evaluation.

Can I retrieve full-text articles from PMC when conducting a PubMed literature search?

Yes, you can retrieve full-text articles from PMC during a PubMed literature search, allowing the system to automatically obtain complete documents for subsequent AI-driven summarization and structured quality assessment.

Does this approach support structured quality assessment based on different study designs?

Yes, this approach supports structured critical appraisal by performing in-depth quality assessment tailored to the specific study design of each research paper retrieved during the medical literature analysis process.

How do I conduct a comprehensive evidence-based medicine search with specific date ranges and result limits?

To conduct a comprehensive evidence-based medicine search, you can specify query terms, set publication date ranges, and define maximum result limits to filter articles retrieved from databases like PubMed.

What are the limitations of AI-assisted analysis for medical literature critical appraisal?

AI-assisted analysis for medical literature critical appraisal accelerates PICO extraction and summarization, but researchers must still validate AI-generated quality assessments against full-text articles to ensure evidence-based accuracy.