By labrinyang
Clinical-grade Apple Health analysis: 21 statistical methods, 30 disease screenings, 59 papers cited, 35+ SVG charts, EN/ZH support.
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npx claudepluginhub labrinyang/apple-health-analysis --plugin apple-health-analysisConnect PM, Dev, and QA context in AI-native development. Shared Jira, Confluence, and Figma context across Claude Code sessions — for teams and solo developers working in multiple terminals.
AI agent team orchestration plugin: intelligently routes tasks to subagents or agent teams, composes teams from a role pool based on management theory, and self-evolves through session reflection
Brainstorm → Plan → Execute: structured 3-phase development workflow with intelligent execution strategy selection
Claude Code plugin for Shiny Health - cross-platform health data queries for Apple HealthKit and Android Health Connect in .NET MAUI
FHIR AI agent guardrails with 14 MCP tools. PHI redaction on every read, step-up authorization for writes, immutable audit trails, tenant isolation, Curatr data quality evaluation and correction, Fasten Connect EHR ingestion, and HealthEx portable health record export. FHIR R4 US Core v9 (stable) + FHIR R6 ballot3 (experimental). A healthclaw.io reference implementation.
Design experiments, profile datasets, build models, and audit them for bias before shipping
Bioinformatics-native AI agent skill library — pharmacogenomics, ancestry, scRNA-seq, metagenomics, variant annotation, genome comparison, and more. 24 skills with deterministic Python execution, reproducibility bundles, and local-first privacy.
Multi-agent AI coach for endurance & strength athletes — runs entirely inside Claude Code.
Drug target discovery and prioritisation platform. The Open Targets Platform is a comprehensive tool that supports systematic identification and prioritisation of potential therapeutic drug targets, integrating publicly available datasets to build and score target-disease associations.