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Found 9 Skills
Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.
Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.
Ensure HIPAA compliance when handling PHI (Protected Health Information). Use when writing code that accesses user health data, check-ins, journal entries, or any sensitive information. Activates for audit logging, data access, security events, and compliance questions.
Design and operate privacy and data security programs for SEC-registered firms under Reg S-P, Reg S-ID, and SEC cybersecurity expectations. Use when the user asks about privacy notices, the Safeguards Rule, identity theft prevention programs, breach notification obligations, vendor security due diligence, incident response planning, data classification, or state privacy law compliance. Also trigger when users mention 'customer data was exposed', 'do we need to notify clients of a breach', 'cybersecurity exam prep', 'cloud vendor risk assessment', 'encrypting client data', 'BYOD security policy', 'Red Flags Rule', 'NY DFS 500 requirements', or ask how to handle a cybersecurity incident.
Implement strong encryption using AES, RSA, TLS, and proper key management. Use when securing data at rest, in transit, or implementing end-to-end encryption.
Code42 integration. Manage data, records, and automate workflows. Use when the user wants to interact with Code42 data.
현재 프로젝트의 핵심 흐름에 필요한 영구 데이터 구조와 안전한 읽기·쓰기를 설계하고 연결한다. “데이터를 저장해줘”, “데이터베이스 연결해줘”, “Supabase 연결해줘”, “신청 내역을 조회하고 싶어”처럼 데이터가 실행 사이에도 유지되어야 하는 요청에 사용한다. 정적·임시·가상 데이터만 필요한 요청에는 사용하지 않는다.
현재 프로젝트의 스키마와 업무 규칙에 맞는 안전하고 일관된 가상 샘플 데이터를 생성한다. “더미 데이터 만들어줘”, “테스트 데이터를 채워줘”, “시연용 사례를 만들어줘”처럼 실제 자료 없이 화면·흐름·테스트를 확인해야 하는 요청에 사용한다. 실제 개인정보나 회사 기밀을 변형하거나 운영 데이터로 사용할 요청에는 사용하지 않는다.
Audits codebases for quantum-vulnerable cryptography and plans migration to Post-Quantum Cryptography (PQC) standards to ensure long-term data security.