---
title: Top Skills for Healthcare
slug: healthcare
type: vertical-category
canonical: https://top-agent-skills.com/top-skills-for-healthcare
skills: 5
rubric: 1.0
updated: 2026-08-24
---

# Top Skills for Healthcare

**life-sciences** is the top-ranked healthcare Skill at 48/100: The official entry point for biomedical research workflows in Claude Code.

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 a published composite score (https://top-agent-skills.com/about/methodology). Content last changed 2026-08-24.

## The ranking

### 1. life-sciences — score 48/100 (official-anthropic)

The official entry point for biomedical research workflows in Claude Code.

- Best for: Computational biology and pharma research teams running omics QC, pipeline development, and literature workflows.
- Not ideal for: Clinical care or billing workflows (see claude-healthcare), and teams requiring a unified OSS license — providers ship under their own terms.
- Publisher: Anthropic · No unified OSS license (per-provider terms)
- Verified on: claude-code

```bash
/plugin marketplace add anthropics/life-sciences
```

Full entry: https://top-agent-skills.com/skill/life-sciences (https://top-agent-skills.com/skill/life-sciences.md)

### 2. claude-healthcare — score 47/100 (official-anthropic)

FHIR to prior-auth to ICD-10 coding: the official payer/provider/pharma toolkit.

- Best for: Health-tech teams working against real FHIR servers, coding workflows, or trial documentation inside Claude.
- Not ideal for: Anyone needing an OSS license — the repo ships under Anthropic terms, not an open-source license — or consumer health questions.
- Publisher: Anthropic · No OSS license (Anthropic terms)
- Verified on: claude-code

```bash
/plugin marketplace add anthropics/healthcare
```

Full entry: https://top-agent-skills.com/skill/claude-healthcare (https://top-agent-skills.com/skill/claude-healthcare.md)

### 3. valyu — score 46/100 (verified-org)

Web search + 36 authoritative data sources. SEC, PubMed, ChEMBL, FRED — agent-grade research.

- Best for: Research workflows needing current, authoritative data with 79% FreshQA score.
- Publisher: Valyu · Proprietary
- Verified on: claude-code, claude-api, cursor, codex

```bash
npx skills add valyuai/skills
```

Full entry: https://top-agent-skills.com/skill/valyu (https://top-agent-skills.com/skill/valyu.md)

### 4. scientific-skills — score 45/100 (community)

Scientific computing + dataset APIs. Reproducible research workflows for agents.

- Best for: Computational biology, materials, physics — anywhere reproducibility matters.
- Publisher: K-Dense-AI · MIT
- Verified on: claude-code

```bash
npx skills add K-Dense-AI/scientific-agent-skills
```

Full entry: https://top-agent-skills.com/skill/scientific-skills (https://top-agent-skills.com/skill/scientific-skills.md)

### 5. fhir-developer-skill — score 44/100 (verified-org)

The standalone FHIR skill: modeling, validation, SMART on FHIR — without the full healthcare plugin.

- Best for: Developers building against FHIR who want one lean skill instead of the whole Anthropic healthcare plugin.
- Not ideal for: Clinical coding or prior-auth workflows — this is developer tooling for the FHIR standard itself.
- Publisher: PhenoML · Apache-2.0
- Verified on: claude-code

```bash
/plugin marketplace add PhenoML/ClaudeFHIRSkill
```

Full entry: https://top-agent-skills.com/skill/fhir-developer-skill (https://top-agent-skills.com/skill/fhir-developer-skill.md)

## About this category

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).

## Common questions

**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.

---

_Top Agent Skills. Machine-readable twin of https://top-agent-skills.com/top-skills-for-healthcare._
_JSON: https://top-agent-skills.com/top-skills-for-healthcare.json · whole catalog: https://top-agent-skills.com/skills.json (CC BY 4.0)_
