What kind of data can I retrieve using this skill?

You can retrieve PubMed IDs (PMIDs), full abstracts, citation metadata, MeSH terms, and links to free full-text articles in PubMed Central.

Can this skill help with systematic reviews?

Yes, it is specifically designed to support the PICO framework and complex Boolean logic required for comprehensive systematic literature reviews and meta-analyses.

What is the PubMed Database skill for Claude Code?

It is a specialized capability that allows Claude to perform advanced biomedical literature searches and programmatically interact with the NCBI PubMed database using professional search syntax and APIs.

Do I need an NCBI API key to use this skill?

An API key is not strictly required for basic use, but it is highly recommended for batch processing as it increases the rate limit from 3 to 10 requests per second.

Does it support Python-based scientific workflows?

Absolutely. For Python environments, the skill encourages the use of biopython (Bio.Entrez) while providing the necessary logic for direct HTTP/REST implementations.

PubMed Database Access

Name: PubMed Database Access
Author: jimmc414

byjimmc414

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324

Ciencia de Datos y ML

Enables advanced searching and programmatic retrieval of biomedical literature from the PubMed database using E-utilities and MeSH terms.

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The PubMed Database skill provides a specialized interface for Claude to interact with the U.S. National Library of Medicine’s comprehensive database of life sciences research. It empowers researchers and developers to construct sophisticated Boolean and MeSH-based queries, automate systematic literature reviews, and extract citation metadata programmatically through the NCBI E-utilities API. Designed for AI-driven scientific discovery within the Kosmos framework, it streamlines the process of finding, filtering, and managing peer-reviewed articles for complex research workflows and data analysis.

Características Principales

Advanced Boolean and MeSH-based query construction for precise searching
High-precision filtering by publication type, date ranges, and text availability
Automated systematic literature review and PICO-framework workflows
Citation management and export in multiple formats including NBIB, XML, and CSV
Programmatic access via NCBI E-utilities API (ESearch, EFetch, ESummary, EPost)
324 GitHub stars

Casos de Uso

Building automated pipelines for literature monitoring and scientific data extraction
Conducting comprehensive systematic reviews and meta-analyses for medical research
Retrieving full citation metadata and abstracts for specific PMIDs or DOIs

Acerca de

Características Principales

Advanced Boolean and MeSH-based query construction for precise searching
High-precision filtering by publication type, date ranges, and text availability
Automated systematic literature review and PICO-framework workflows
Citation management and export in multiple formats including NBIB, XML, and CSV
Programmatic access via NCBI E-utilities API (ESearch, EFetch, ESummary, EPost)
324 GitHub stars

Casos de Uso

Building automated pipelines for literature monitoring and scientific data extraction
Conducting comprehensive systematic reviews and meta-analyses for medical research
Retrieving full citation metadata and abstracts for specific PMIDs or DOIs