pubmed-database

Query PubMed E-utilities REST APIs to fetch article metadata and manage citations.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/mwathiben/PropManager --skill pubmed-database-mwathiben
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pubmed-database
Source: https://github.com/mwathiben/PropManager/tree/main/.claude/skills/pubmed-database
Command: npx skills add https://github.com/mwathiben/PropManager --skill pubmed-database-mwathiben

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

PubMed provides a vast biomedical literature base; programmatic REST access enables automated literature discovery, systematic reviews, and integration into data workflows without manual querying.

Core Features & Use Cases

  • Advanced search construction using Boolean operators, MeSH terms, and field tags
  • Programmatic access via NCBI E-utilities (esearch, efetch, esummary, elink, epost, einfo) for batch operations
  • MeSH-driven searching and article metadata retrieval to support citation management
  • Systematic reviews and literature monitoring through automated queries and data extraction
  • Use Case: build an automated pipeline that discovers new PubMed records and updates a local catalogue

Quick Start

Start by searching PubMed with esearch, fetching records with efetch, and integrating results into your analysis workflow.

Frequently Asked Questions about pubmed-database

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

FAQPage Schema
How do I use NCBI E-utilities for programmatic PubMed literature search?

PubMed batch processing applies E-utilities endpoints like esearch, efetch, and esummary to fetch multiple article records and metadata automatically, supporting systematic reviews and local catalogue updates without manual querying.

How do I construct advanced PubMed queries using MeSH terms and field tags?

Advanced PubMed queries combine MeSH terms, Boolean operators, and field-tag syntax to precisely filter biomedical literature, enabling targeted automated discovery and systematic review data extraction.

Can I use PubMed REST APIs for batch processing in Python workflows?

PubMed REST APIs integrate into Python workflows and data pipelines to execute batch processing, manage citations, and automate literature monitoring by sequentially calling E-utilities endpoints for large record retrieval.

Do I need an API key to manage PubMed E-utilities rate limits?

Managing PubMed E-utilities rate limits requires guidance on API keys to maintain automated query throughput, preventing throttling when running high-volume batch operations and systematic literature discovery pipelines.

What's the best way to automate PubMed record discovery for systematic reviews?

Automating PubMed record discovery for systematic reviews involves building data pipelines with E-utilities endpoints to run advanced MeSH queries, extract article metadata, and continuously monitor new biomedical literature.