Verified
Web search + 36 authoritative data sources. SEC, PubMed, ChEMBL, FRED — agent-grade research.
SearchSECPubMed
All surfaces
Low3 min
By role
Top Skills for Healthcare
Clinical research, medical document parsing, scientific dataset workflows.
2 skills indexed · ranked by composite score
Top 2 Healthcare skills
- 1.valyu—Web search + 36 authoritative data sources. SEC, PubMed, ChEMBL, FRED — agent-grade research.
- 2.scientific-skills—Scientific computing + dataset APIs. Reproducible research workflows for agents.
About Healthcare
Healthcare vertical Skills cover clinical research synthesis, medical-document parsing, scientific-dataset workflows, and the structured documentation patterns that healthcare and life-sciences teams need. The category requires extra rigor: outputs feed into decisions where errors carry real cost.
The common workflows include parsing clinical trial protocols and extracting structured data, synthesizing the literature on a specific intervention, generating IRB-ready documentation, parsing medical records (with appropriate de-identification), building research databases from heterogeneous sources, and producing clinician-facing summaries from technical papers. Several pair with biomedical APIs (PubMed, ClinicalTrials.gov, FDA Open Data) and require careful handling of PHI.
Clinical researchers, medical librarians, biotech operations, life-sciences product teams, and digital-health founders use these Skills. Composite scoring weights provenance heavily — Anthropic and recognized medical orgs sit at the top — plus install count and how the Skill handles uncertainty (top Skills surface confidence levels and source citations; lower-ranked Skills produce confident-sounding output without backing).
Ranked by score
Best Healthcare Skills
Skills with strong fit for healthcare workflows.
Community
Scientific computing + dataset APIs. Reproducible research workflows for agents.
Sciencescikit-learnReproducibility
FAQ
Frequently asked
Are these Skills HIPAA-compliant?
The Skills themselves are policy-neutral. HIPAA compliance depends on the agent runtime, data handling, and BAAs you have in place. Skills that touch PHI are flagged as requiring extra review.
Can these Skills replace medical literature review?
No — they accelerate the work (find papers, cluster findings, generate first-pass summaries) but a clinician or scientist must verify every claim before action.
Do they handle clinical-trial data?
Several Skills parse trial protocols, extract endpoints, and synthesize results across trials. They are research aids, not regulatory submissions.
Are FDA/EMA workflows supported?
Limited — some Skills produce document templates aligned to common submission formats. Real regulatory work requires specialized teams and validated systems.
How do these Skills handle citations?
The top Skills produce citations with DOIs and PubMed IDs and refuse to fabricate sources. Lower-ranked Skills sometimes hallucinate references — a known failure mode in medical AI work.
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