# Fetch Pubmed Recent

> Fetches PubMed articles posted in a given date window matching a keyword set, returning normalize…

Fetches PubMed articles posted in a given date window matching a keyword set, returning normalized records (PMID, title, authors, abstract, journal, date, DOI, URL). Uses NCBI E-utilities (`esearch` + `esummary` + `efetch`) via WebFetch for portability, but prefers a PubMed MCP server's `search_articles` + `get_article_metadata` tools when one is connected (faster, paginated, parsed). Builds date-bounded queries with optional MeSH expansion. Domain-neutral - usable for any PubMed scan, not just one project. Use when user mentions PubMed, NCBI, last-N-days PubMed, weekly PubMed scan, MeSH search, or when a literature-scan agent needs structured PubMed records.

- Page: https://ss33.ai/skills/lyndonkl/fetch-pubmed-recent-79481646689
- Publisher: lyndonkl
- Category: [Data & Analytics](https://ss33.ai/skills/category/data-and-analytics-m1r3i9) › [Scraping & extraction](https://ss33.ai/skills/category/data-and-analytics-m1r3i9/scraping-and-extraction-b8vsk2)
- Source: https://github.com/lyndonkl/claude/blob/4acc337d4dbdb19da6469eb2504c16669c1cafa1/skills/fetch-pubmed-recent/SKILL.md

## Skill

This skill's licence does not allow redistribution, so the store does not serve its text. Get it from the author: https://github.com/lyndonkl/claude/blob/4acc337d4dbdb19da6469eb2504c16669c1cafa1/skills/fetch-pubmed-recent/SKILL.md