pubmed-database
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring. Use when a task needs biomedical literature from PubMed rather than general web search.
- Kind
- Skill
- Works with
- Claude Code, Codex
- Source
- affaan-m/ECC @ d3b8a3e90890
- Path
- skills/scientific-db-pubmed-database/SKILL.md
- License
- MIT
InstallCopy it from the source repository, or sign in and let the assistant adapt it for your project.
# PubMed Database Use this skill when a task needs biomedical literature from PubMed rather than general web search. ## When to Use - Searching MEDLINE or life-sciences literature. - Building PubMed queries with MeSH terms, field tags, dates, or article types. - Looking up PMIDs, abstracts, publication metadata, or related citations. - Running systematic-review search passes that need repeatable search strings. - Using NCBI E-utilities directly from Python, shell, or another HTTP client. ## Query Construction Start with the research question, split it into concepts, then combine concepts with Boolean operators. ```text concept_1 AND concept_2 AND filter synonym_a OR synonym_b NOT exclusion_term ``` Useful PubMed field tags: - `[ti]`: title - `[ab]`: abstract - `[tiab]`: title or abstract - `[au]`: author - `[ta]`: journal title abbreviation - `[mh]`: MeSH term - `[majr]`: major MeSH topic - `[pt]`: publication type - `[dp]`: date of publication - `[la]`: language Examples: ```text diabetes mellitus[mh] AND treatment[tiab] AND systematic review[pt] AND 2023:2026[dp] (metformin[nm] OR insulin[nm]) AND diabetes mellitus, type 2[mh] AND randomized controlled trial[pt] …