Skill UI

An automated verification system designed for critical healthcare application deployments (EMR/EHR). This harness enforces stringent patient safety standards by running multiple mandatory test gates, including Clinical Decision Support System (CDSS) accuracy, Protected Health Information (PHI) leakage prevention, and data integrity checks. A single failure in critical gates automatically blocks deployment, ensuring regulatory compliance and optimal patient safety in the CI/CD pipeline.

A comprehensive guide to building HIPAA, GDPR, and other global compliance systems for healthcare applications. This pattern outlines best practices for protecting Protected Health Information (PHI) and Personally Identifiable Information (PII) by implementing robust access controls, Row-Level Security (RLS), and mandatory audit trails. Essential for any feature handling patient or clinical data.

This guide details the Hexagonal Architecture (Ports and Adapters) pattern, a robust method for decoupling core business logic from external infrastructure concerns. It teaches how to structure applications to make the domain model independent of databases, UI frameworks, or message queues. Implementing this pattern drastically improves testability, maintainability, and the ability to swap out external services without rewriting business rules.

Pi-hole is a powerful, network-wide DNS ad blocker that runs on Linux hosts (like Raspberry Pi). It intercepts all DNS queries on your local network, blocking advertisements, trackers, and known malware domains before they reach your devices. This guide covers setup via Docker or bare metal, configuring network DNS, managing blocklists, and enabling secure DNS-over-HTTPS (DoH) for enhanced privacy.

This skill generates a structured, non-advisory worksheet for planning trade ideas, basket adjustments, or comparing prediction markets. It helps users methodically review venues, underliers, constraints, and manual execution steps without placing any trades or providing financial advice. Ideal for the research phase of quantitative finance workflows.

A comprehensive guide detailing best practices for writing clean, maintainable, and type-safe Java code, specifically tailored for Spring Boot services. It covers naming conventions, prioritizing immutability, proper use of Optional, stream API best practices, and modern project structuring.

This comprehensive skill provides deep integration with Jira, enabling users to manage the entire issue lifecycle. Features include retrieving ticket details, extracting testable requirements and acceptance criteria, updating issue status (transitions), adding comments, and linking code artifacts (PR/MR). Supports both recommended MCP server approach and direct REST API calls for robust development workflow automation.

A comprehensive guide to best practices for data access and persistence in Spring Boot using JPA and Hibernate. Covers critical topics such as entity modeling, relationship management (preventing N+1), transaction handling, query optimization, indexing strategies, and connection pooling.

This tool is designed to analyze source code by extracting core entities (classes, functions, modules, types) and mapping their complex relationships (imports, inheritance, calls, dependencies). It constructs a comprehensive Knowledge Graph (KG) in AgentDB. This is essential for detailed dependency analysis, understanding large codebase structures, and performing accurate impact assessments.

This comprehensive guide covers advanced Kotlin testing patterns using industry-standard tools like Kotest and MockK. It details the entire TDD workflow (Red-Green-Refactor), property-based testing, coroutines testing, and code coverage configuration with Kover. Ideal for developers looking to write robust, maintainable, and scalable Kotlin codebases.

A comprehensive guide providing production-grade YAML patterns and debugging commands for Kubernetes deployments. Covers best practices for Deployments, Services, Ingress, resource management (requests/limits), RBAC, probes, autoscaling (HPA), and detailed kubectl debugging cheatsheets.

A comprehensive guide to production-level Laravel architectural patterns. It details best practices for structuring scalable web applications and APIs, covering service layers, dedicated actions, Eloquent ORM modeling, resource design, queue management, and advanced routing techniques like scope bindings. Learn how to maintain clean separation of concerns in large-scale PHP projects.