samurai-skills
claudeAll Health Samurai skills — Aidbox, FHIR, SQL on FHIR, Termbox, and more
5 skills
SQL on FHIR with Aidbox — ViewDefinitions, $materialize, sof schema
Plugin aidbox-sql-on-fhir from marketplace samurai-skills in HealthSamurai/samurai-skills. Commands read from the repo's manifest — 9 days ago.
aidbox-sql-on-fhirSQL on FHIR with Aidbox — ViewDefinitions, $materialize, sof schema. Use when user works with ViewDefinition resources, $materialize, sof schema, flattening FHIR data into SQL tables, dashboard queries, or analytics over FHIR data in Aidbox. Also triggers on "SQL on FHIR", "ViewDefinition", "sof sch
All Health Samurai skills — Aidbox, FHIR, SQL on FHIR, Termbox, and more
5 skills
Aidbox FHIR platform — API reference, configuration, access control, and development guidance
1 skill
Generate FHIR types using @atomic-ehr/codegen — supports TypeScript, Python, and C#
1 skill
Search health-samurai.io — docs, blog, case studies, examples
1 skill
Termbox FHIR terminology server — run locally, load and update terminologies, query codes via FHIR API or MCP
1 skill
De-identify PHI, run clinical NER, export FHIR, evaluate with leakage gates, and the healthcare workflows around them.
74 skills
Operator-grade OpenEvidence pack with 24 source-grounded skills for clinical evidence review, safe adoption, privacy, security, and product workflow governance.
24 skills
UK NHS Clinical Safety Overlay — 4 commands for NHS DCB0129 (manufacturer), DCB0160 (deployer), DTAC (form v2.0), and UK/EU MDR SaMD/AIaMD classification. Adopts Marcus Baw SAFETY.md spec. Second sector-specific overlay.
4 commands
Research and healthcare skills: Clinical Case Summary, Research Protocol, Patient Communication, Literature Review. Write SBAR handovers, design research protocols, draft accessible patient communications, and structure literature reviews.
6 skills
HIPAA compliance advisor covering Privacy Rule, Security Rule, and Breach Notification — document generation, technical safeguards for cloud, and breach response.
1 skill
Post-hoc verification and trust audit of AI-generated factual and interpretive claims. Classifies claims by type and salience, routes them to domain-appropriate sources, scores trustworthiness on a tiered scale with an Interpolated verdict for plausible-but-unsupported detail, and assesses rhetorical fairness on interpretive claims. Designed with a focus on healthcare law in England and Wales, but with general applicability beyond.
200 skills
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