life-sciences-connector
Query PubMed and scientific databases for protocols, analyze biological data with Biopython, handle HIPAA-compliant data. Use for biology research, protocol searches, sequence analysis, or scientific data handling. Cross-validates sources for high accuracy. Triggers on "PubMed", "biology", "scientific data", "sequences", "protocols", "life sciences", "HIPAA".
npx skills add majiayu000/claude-skill-registry --skill life-sciences-connector-dredd-us-seashells --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Life Sciences Connector ## Purpose Connect to scientific databases (PubMed, Benchling) for protocol queries and biological data analysis with Biopython integration. ## When to Use - Biology research tasks - Protocol searches - Scientific data handling - Sequence analysis - Lab data integration - HIPAA-compliant workflows ## Core Instructions ### PubMed Query ```python from Bio import Entrez Entrez.email = "your.email@example.com" def search_pubmed(term, retmax=5): """Search PubMed for articles""" handle = Entrez.esearch(db="pubmed", term=term, retmax=retmax) record = Entrez.read(handle) return record['IdList'] def fetch_article(pmid): """Fetch article details""" handle = Entrez.efetch(db="pubmed", id=pmid, rettype="xml") return Entrez.read(handle) # Usage results = search_pubmed("CRISPR protocol") for pmid in results: article = fetch_article(pmid) print(article['Title']) ``` ### Sequence Analysis ```python from Bio import SeqIO from Bio.Align import PairwiseAligner # Parse FASTA sequences = list(SeqIO.parse("sequences.fasta", "fasta")) # Align sequences aligner = PairwiseAligner() alignments = aligner.align(sequences[0].seq, sequences[1].seq) print(f"Alignment score: {alignments[
- Purpose
- When to Use
- Core Instructions
- PubMed Query
- Sequence Analysis
- HIPAA Compliance
- Guidelines
- Dependencies
- Version
What does the life-sciences-connector skill do?
Query PubMed and scientific databases for protocols, analyze biological data with Biopython, handle HIPAA-compliant data. Use for biology research, protocol searches, sequence analysis, or scientific data handling. Cross-validates sources for high accuracy. Triggers on "PubMed", "biology", "scientific data", "sequences", "protocols", "life sciences", "HIPAA".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill life-sciences-connector-dredd-us-seashells --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 majiayu000/claude-skill-registry, a repository with 534 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.