Skill UI

This skill provides expert guidance for modern, multi-cloud database administration. It covers comprehensive knowledge across AWS, Azure, and GCP platforms, spanning relational, NoSQL, and graph databases. Key areas include Infrastructure as Code (Terraform, Flyway), achieving high availability, disaster recovery, advanced performance optimization, and ensuring strict regulatory compliance (HIPAA, GDPR). It is essential for managing complex, highly reliable cloud data architectures.

A comprehensive, compliant wrapper for integrating with the Groq API. This module automatically sanitizes input prompts and filters model responses to redact sensitive PII (emails, phone numbers, SSN, etc.). It also tracks detailed token usage and generates robust audit logs, ensuring data privacy and regulatory compliance (GDPR, etc.) in enterprise AI applications.

A comprehensive guide for implementing and managing Role-Based Access Control (RBAC) within the Guidewire InsuranceSuite (PolicyCenter, ClaimCenter, BillingCenter). It details role hierarchies (Admin, Underwriter, Claims Adjuster), permission checking logic using APIs, and best practices for ensuring regulatory compliance (NAIC, DOI). Includes code examples for user provisioning and audit logging.

This module provides a compliance-grade, tamper-evident logging solution for tracking all Kling AI operations. It records task submissions, status changes, and credential usage into structured, hashed logs. Use this when meeting regulatory compliance requirements or preparing for internal/external security audits.

This skill provides comprehensive methods for managing the entire data lifecycle of LLM observability platforms like Langfuse. Functions include exporting detailed traces and scores, configuring retention policies (e.g., automatic data cleanup), handling GDPR subject requests (access and erasure), and anonymizing Personally Identifiable Information (PII) for secure analytics. Essential for maintaining regulatory compliance in AI applications.

This comprehensive guide defines the secure data lifecycle management for OpenEvidence, an AI-powered platform for clinical evidence synthesis. It outlines data classification (e.g., clinical queries, patient responses), strict adherence to global regulations (HIPAA, GDPR, FDA), and technical requirements for handling Protected Health Information (PHI). Key processes include PHI de-identification, data validation, secure API integration, and compliant data export, ensuring the system maintains the highest level of patient privacy and regulatory compliance.

This guide outlines the strict multi-environment setup for the OpenEvidence clinical AI system, crucial for maintaining HIPAA compliance. It details how to configure and validate separate environments (Development, Staging, Production) to manage different data classifications—synthetic, de-identified, and full PHI. The process emphasizes environment validation checks, BAA adherence, and robust audit logging to prevent regulatory violations and PHI exposure.

Provides comprehensive observability for OpenEvidence, a system delivering critical clinical evidence queries. It monitors key metrics such as query response latency (p95), evidence freshness, citation accuracy, and compliance audit logs (HIPAA). Essential for ensuring timely, accurate, and regulatory-compliant patient care information retrieval.

A comprehensive guide for auditing and ensuring regulatory compliance (SOC2, GDPR, HIPAA) when integrating Large Language Models (LLMs) via OpenRouter. It covers best practices for data handling, access control, PII redaction, implementing robust audit trails, and configuring provider routing to maintain data sovereignty and meet strict industry standards.

This expert simulates a compliance expert, specializing in regulatory requirements for software systems, including GDPR, HIPAA, SOC2, and PCI-DSS. It performs comprehensive audits, identifies compliance gaps, and generates actionable implementation plans, technical controls, and policy templates to ensure adherence to industry standards.

This guide provides comprehensive instructions for setting up and managing Sentry's enterprise-grade Role-Based Access Control (RBAC). It covers establishing the Organization-Team-Project hierarchy, integrating Single Sign-On (SSO) via SAML2, and automating user provisioning with SCIM. Use this when setting up large-scale organizations, enforcing granular team permissions, centralizing identity management, or ensuring regulatory compliance and audit logging.

This specialized AI acts as an auditor for Medical Devices (SaMD) compliance. It reviews critical documentation like Design History Files (DHF) and technical files against major global regulations, including 21 CFR Part 820, IEC 62304, and ISO 13485. It identifies compliance gaps, cites specific regulations, and provides actionable remediation steps to prepare for regulatory audits.