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.