Skip to main content
Manus에서 모든 스킬 실행
원클릭으로
GitHub 저장소

precision-medicine-mcp

precision-medicine-mcp에는 lynnlangit에서 수집한 skills 7개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
7
Stars
22
업데이트
2026-07-11
Forks
13
직업 범위
직업 카테고리 7개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

precision-medicine-doc-audit
소프트웨어 개발자

Audits all Markdown files in the precision-medicine-mcp repo against four canonical principles: (A) server Python code is the authoritative tool count, (B) server-registry.md is the authoritative server/tool summary, (C) all three patient outcomes (PAT001/PAT002/PAT003) must be represented consistently, (D) no content block may appear in more than one MD file (DRY). Use this skill whenever a new version of the platform ships, a new server is added, a new patient use case is validated, or before any major doc update. Trigger phrases: "audit the docs", "check docs are correct", "doc cleanup", "canonical check", "are the docs up to date", "DRY check on markdown".

2026-07-11
clinical-compliance-doc
보건 정보 기술자·의무 기록사

Ensures all development meets clinical compliance and security standards. Focuses on HIPAA-friendly logging, audit trails, risk assessment, and scientific nomenclature.

2026-02-25
patient-data-ops
데이터 과학자

Guide for managing patient data and bioinformatics datasets (h5ad, CSV). Standardizes data loading, preprocessing, and path management.

2026-02-25
precision-bio-docs
기술 작가

Expert guide for project-specific documentation and clinical reporting. Maintains consistency across persona-based guides and automated reports.

2026-02-25
precision-bio-infra
네트워크·컴퓨터 시스템 관리자

Expert guide for GCP deployment, security, and hospital-specific infrastructure. Covers Cloud Run, IAM, VPC, and secrets management for bioinformatics.

2026-02-25
precision-bio-tests
기타 생물 과학자

Expert guide for testing bioinformatics MCP servers. Covers pytest, DRY_RUN modes, and PatientOne simulation scenarios.

2026-02-25
precision-bio-ui
웹·디지털 인터페이스 디자이너

Expert guide for developing the Precision Medicine Streamlit dashboard and LLM providers. Covers provider abstraction, trace visualization, and UI components.

2026-02-25