ncbi-entrez-skill
Submit compact NCBI Entrez E-Utilities requests for PubMed, Gene, Protein, Nucleotide, PMC metadata, and GEO metadata workflows. Use when a user wants concise Entrez search, fetch, summary, or link results; save raw JSON or XML only on request. Published by openai in plugins.
What is ncbi-entrez-skill?
Submit compact NCBI Entrez E-Utilities requests for PubMed, Gene, Protein, Nucleotide, PMC metadata, and GEO metadata workflows. Use when a user wants concise Entrez search, fetch, summary, or link results; save raw JSON or XML only on request. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Documentation
- Design and media
- Research
- Documentation use cases
- Design and media use cases
Technical details
- Install or run with Copy skill directory
When to use ncbi-entrez-skill
- Use it for documentation.
- Use it for design and media.
- Use it for research.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/life-science-research/skills/ncbi-entrez-skill/SKILL.md
What it does
Submit compact NCBI Entrez E-Utilities requests for PubMed, Gene, Protein, Nucleotide, PMC metadata, and GEO metadata workflows. Use when a user wants concise Entrez search, fetch, summary, or link results; save raw JSON or XML only on request.
Skill instructions
Operating rules - Use scripts/ncbientrez.py for all Entrez calls in this package. - Use explicit endpoint values such as esearch, esummary, efetch, elink, or einfo. - Search-style Entrez calls are better with retmax=10 and maxitems=10. - GEO is nested under this skill. Use db=gds or db=geoprofiles for GEO metadata and load references/geo.md only when the user is specifically asking about GEO. - BLAST workflows belong in ncbi-blast-skill. PMC Open Access workflows belong in ncbi-pmc-skill. Datasets v2 workflows belong in ncbi-datasets-skill. - Re-run requests in long conversations instead of relying on older tool output. - Treat displayed ... in tool previews as UI truncation, not literal request content. Execution behavior - Return concise markdown summaries from the script output by default. - In final user-facing summaries, never display a bare PMID or DOI. Render every PMID as a Markdown link in the form PMID <PMID and every DOI as <DOI, including in tables, bullets, parentheticals,
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Frequently asked questions
What is ncbi-entrez-skill?
ncbi-entrez-skill is a open-source AI agent skill with Copy skill directory. Submit compact NCBI Entrez E-Utilities requests for PubMed, Gene, Protein, Nucleotide, PMC metadata, and GEO metadata workflows.
Who is ncbi-entrez-skill best for?
ncbi-entrez-skill is best for reusing agent instructions, scripts, and references, documentation workflows, design and media workflows, research workflows.
How do I install ncbi-entrez-skill?
Install or run ncbi-entrez-skill using Copy skill directory. Check ncbi-entrez-skill for the latest setup command.
Is ncbi-entrez-skill actively maintained?
ncbi-entrez-skill may need a closer maintenance check before production use.
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