Official
The official entry point for biomedical research workflows in Claude Code.
Life SciencesBioinformaticsOmics
By role
Top Skills for Healthcare
Clinical research, medical document parsing, scientific dataset workflows.
This page lists the Skills useful in this domain, including general-purpose tooling commonly used here — not only Skills built for it. Where a general-purpose Skill outranks the domain-native ones, the introduction below says so.
5 skills indexed · ranked by composite score · updated August 24, 2026
Top 5 Healthcare skills
The official entry point for biomedical research workflows in Claude Code.
- 2.claude-healthcare—FHIR to prior-auth to ICD-10 coding: the official payer/provider/pharma toolkit.
FHIR to prior-auth to ICD-10 coding: the official payer/provider/pharma toolkit.
- 3.valyu—Web search + 36 authoritative data sources. SEC, PubMed, ChEMBL, FRED — agent-grade research.
Web search + 36 authoritative data sources. SEC, PubMed, ChEMBL, FRED — agent-grade research.
- 4.scientific-skills—Scientific computing + dataset APIs. Reproducible research workflows for agents.
Scientific computing + dataset APIs. Reproducible research workflows for agents.
- 5.fhir-developer-skill—The standalone FHIR skill: modeling, validation, SMART on FHIR — without the full healthcare plugin.
The standalone FHIR skill: modeling, validation, SMART on FHIR — without the full healthcare plugin.
About Healthcare
The best agent Skills for healthcare in 2026 are Anthropic's official claude-healthcare (FHIR, ICD-10 coding, prior authorisation) for the payer and provider side, and life-sciences for biomedical research workflows. fhir-developer-skill is the standalone option when FHIR modelling and validation is the whole job. This is the thinnest vertical in the catalogue at five entries, and that is a statement about the ecosystem rather than about our coverage: the well-known medical skill collections we assessed did not clear the licensing and originality bar. 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.
Official
FHIR to prior-auth to ICD-10 coding: the official payer/provider/pharma toolkit.
HealthcareFHIRMedical Coding
Verified
Web search + 36 authoritative data sources. SEC, PubMed, ChEMBL, FRED — agent-grade research.
SearchSECPubMed
Community
Scientific computing + dataset APIs. Reproducible research workflows for agents.
Sciencescikit-learnReproducibility
The standalone FHIR skill: modeling, validation, SMART on FHIR — without the full healthcare plugin.
FHIRHealth DataStandards
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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