mcpbeat

Query Geo

biotender-max/query-geo

Query NCBI GEO for gene expression datasets. Use when user asks about RNA-seq datasets, microarray data, expression data, GEO accessions, or finding public datasets. Triggers on "geo", "gene expression omnibus", "expression dataset", "RNA-seq dataset", "microarray dataset", "GSE", "GDS".

659 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
132
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/BioTender-max/awesome-bio-agent-skills --skill query-geo

The instruction itself

5 sections, as written by the author

NCBI GEO Database Query

Query Gene Expression Omnibus for public expression datasets.

When to Use

  • User wants to find RNA-seq or microarray datasets
  • User asks about gene expression studies for a disease/tissue
  • User provides a GEO accession (GSE/GDS) to look up
  • User wants to download expression data

How to Execute

from Bio import Entrez
import json

Entrez.email = "[email protected]"

# 1. Search GEO datasets
def search_geo(query, max_results=10, db="gds"):
    handle = Entrez.esearch(db=db, term=query, retmax=max_results, sort="relevance")
    record = Entrez.read(handle)
    handle.close()
    return record

# 2. Get dataset summaries
def geo_summary(id_list, db="gds"):
    ids = ",".join(str(i) for i in id_list)
    handle = Entrez.esummary(db=db, id=ids, retmode="json")
    result = json.loads(handle.read())
    handle.close()
    return result

# 3. Search for Series (GSE)
def search_gse(keyword, organism="Homo sapiens", max_results=10):
    query = f'"{keyword}" AND "{organism}"[Organism] AND gse[ETYP]'
    return search_geo(query, max_results)

# Example: Find breast cancer RNA-seq datasets
search = search_gse("breast cancer RNA-seq", max_results=5)
print(f"Found {search['Count']} datasets")

if search['IdList']:
    summaries = geo_summary(search['IdList'])
    for uid in search['IdList']:
        info = summaries['result'].get(str(uid), {})
        title = info.get('title', 'N/A')
        gse = info.get('accession', 'N/A')
        gpl = info.get('gpl', 'N/A')
        n_samples = info.get('n_samples', 'N/A')
        summary = info.get('summary', 'N/A')[:200]
        print(f"\n{gse}: {title}")
        print(f"  Platform: {gpl}, Samples: {n_samples}")
        print(f"  Summary: {summary}...")
        print(f"  URL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc={gse}")

Search Syntax

  • By keyword: "CRISPR" AND gse[ETYP]
  • By organism: "Homo sapiens"[Organism]
  • By platform: "Illumina"[Platform]
  • By date: "2024/01:2026/12"[PDAT]
  • Combine: "breast cancer" AND "RNA-seq" AND "Homo sapiens"[Organism] AND gse[ETYP]

Follow-up Suggestions

  • "Want me to download the expression matrix for this dataset?"
  • "Should I do differential expression analysis?"
  • "Want me to check what genes are differentially expressed?"

How to use it

Copy the folder

Take biotender-max/query-geo from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.