pubmed-database
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.
npx skills add mturac/everything-openai-codex --skill scientific-db-pubmed-database --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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] smith ja[au] AND
- When to Use
- Query Construction
- MeSH and Subheadings
- Filters
- E-utilities Workflow
- Output Discipline
- Review Checklist
- References
What does the pubmed-database skill do?
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill scientific-db-pubmed-database --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.