What is the benefit of using MeSH terms in this skill?

Medical Subject Headings (MeSH) allow for more precise and consistent searching across biomedical literature than simple keyword searches, ensuring comprehensive results for systematic research.

How does this skill handle NCBI API rate limits?

It includes best practices for respecting NCBI's rate limits—3 requests/second without a key and 10 with one—to ensure continuous service and avoid IP blocks.

Can I search for specific article types like Clinical Trials?

Absolutely. The skill provides specific field tags and syntax to filter results by publication types, including randomized controlled trials, systematic reviews, and meta-analyses.

Does this skill support Python libraries?

Yes, it recommends using Biopython's Bio.Entrez module for Python-based workflows while providing the logic and syntax for direct HTTP/REST API implementations.

PubMed Database Access

Name: PubMed Database Access
Author: x-cmd

byx-cmd

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数据科学与机器学习

Facilitates advanced biomedical literature research and programmatic access to the National Library of Medicine's PubMed database via E-utilities.

关于

This skill empowers researchers and developers to navigate the vast PubMed database by constructing sophisticated Boolean and MeSH-based search queries for precise literature discovery. It provides deep integration with the NCBI E-utilities REST API, enabling automated batch processing of citations, metadata extraction, and programmatic retrieval of life sciences research. Whether conducting a systematic review using the PICO framework or building automated workflows for literature monitoring, this skill streamlines the process of finding and managing high-quality biomedical data directly within Claude.

主要功能

Systematic review support using the PICO framework
Batch citation management and identifier-based retrieval (PMID/DOI)
8 GitHub stars
Programmatic access via NCBI E-utilities REST API (ESearch, EFetch, etc.)
Advanced Boolean and MeSH-based query construction
Automated metadata extraction and publication type filtering

使用场景

Extracting citation data and abstracts for large-scale data science projects
Conducting comprehensive systematic literature reviews or meta-analyses
Building automated tools for tracking new research in specific medical domains

关于

主要功能

Systematic review support using the PICO framework
Batch citation management and identifier-based retrieval (PMID/DOI)
8 GitHub stars
Programmatic access via NCBI E-utilities REST API (ESearch, EFetch, etc.)
Advanced Boolean and MeSH-based query construction
Automated metadata extraction and publication type filtering

使用场景

Extracting citation data and abstracts for large-scale data science projects
Conducting comprehensive systematic literature reviews or meta-analyses
Building automated tools for tracking new research in specific medical domains