Does it support the NCBI API key for higher rate limits?

Yes, it provides documentation and best practices for using API keys to increase your rate limits from 3 to 10 requests per second.

What is the best way to use this in a Python project?

For Python workflows, the skill recommends using the Biopython (Bio.Entrez) library, though it also provides patterns for direct REST API implementations using requests.

Can I export citations for reference managers like Zotero?

Absolutely, the skill handles export formats like .nbib, XML, and MEDLINE, which are compatible with Zotero, Mendeley, and EndNote.

Can I use this skill for systematic reviews?

Yes, the skill includes specialized guidance for constructing PICO-compliant queries and comprehensive search strategies for systematic reviews and meta-analyses.

How do I search by specific Medical Subject Headings (MeSH)?

You can use the [mh] tag for general MeSH terms or [majr] for major topics, and combine them with subheadings like /therapy or /diagnosis for maximum precision.

PubMed Database Access & Search

Name: PubMed Database Access & Search
Author: pur3v4d3r

bypur3v4d3r

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数据科学与机器学习

Enables advanced biomedical literature searches and programmatic data retrieval via the PubMed E-utilities REST API.

关于

This skill provides comprehensive capabilities for interacting with the National Library of Medicine’s PubMed database, allowing for precise discovery of life sciences literature. It facilitates the construction of complex search queries using Boolean operators, Medical Subject Headings (MeSH), and field tags, while offering robust implementation patterns for the NCBI E-utilities API. Whether you are conducting systematic reviews, automating literature monitoring, or extracting citation data for data science workflows, this skill streamlines the process of finding and managing peer-reviewed research.

主要功能

Programmatic integration via NCBI E-utilities (ESearch, EFetch, ESummary, EPost)
Systematic review support using the PICO framework and study design filters
1 GitHub stars
Automated batch processing for large-scale PMID and metadata retrieval
Advanced Boolean and MeSH-based query construction for precise searching
Citation management and export in standard formats like NBIB, XML, and MEDLINE

使用场景

Integrating PubMed metadata and abstracts into data science and ML training pipelines.
Automating clinical research monitoring and citation extraction workflows for bioinformatics.
Conducting systematic literature reviews or meta-analyses for biomedical research.

关于

主要功能

Programmatic integration via NCBI E-utilities (ESearch, EFetch, ESummary, EPost)
Systematic review support using the PICO framework and study design filters
1 GitHub stars
Automated batch processing for large-scale PMID and metadata retrieval
Advanced Boolean and MeSH-based query construction for precise searching
Citation management and export in standard formats like NBIB, XML, and MEDLINE

使用场景

Integrating PubMed metadata and abstracts into data science and ML training pipelines.
Automating clinical research monitoring and citation extraction workflows for bioinformatics.
Conducting systematic literature reviews or meta-analyses for biomedical research.