pubmed-database
Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.
Security Assessment
About pubmed-database
The PubMed Database skill provides direct REST API access to the extensive database of the U.S. National Library of Medicine, which includes free access to MEDLINE and life sciences literature. This skill enables users to construct advanced queries using Boolean operators, MeSH terms, and field tags, making it easier to locate relevant biomedical or life sciences research articles. It addresses the challenges faced by researchers, practitioners, and students in efficiently finding and managing scientific literature, thereby streamlining the process of systematic reviews and literature analysis.
FAQ
How do I construct advanced search queries?
You can use Boolean operators (AND, OR, NOT), field tags, and specialized syntax to build complex queries.
Is this skill compatible with Python workflows?
Yes, it is recommended to use biopython (Bio.Entrez) for Python workflows involving PubMed.
Can I retrieve citation information using this skill?
Yes, you can retrieve citation information, abstracts, or full-text articles through the API.
Are there limitations on publication types I can filter by?
You can filter articles by various publication types such as Clinical Trial, Meta-Analysis, and Systematic Review.
What are MeSH terms and how do I use them?
MeSH terms are standardized keywords that allow for precise searching. You can combine them with subheadings for specificity in your queries.
Install pubmed-database
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
K-Dense-AI/claude-scientific-skills