patterns▌

JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, and performance tuning in Spring Boot. \n \n Covers entity mapping with auditing, soft deletes, indexing, and enumerated types; includes transaction management with read-only optimization and propagation strategies \n Provides N+1 prevention techniques using lazy loading, JOIN FETCH queries, and DTO projections for lightweight reads \n Demonstrates pagination with Pageable, custom repository methods, and c

Modern React component patterns for building scalable, maintainable UI libraries. \n \n Covers five core patterns: props API design with TypeScript, composition, render props, custom hooks for logic separation, and performance optimization with React.memo and useMemo \n Includes compound components, polymorphic components, and context-based state sharing for flexible, reusable architectures \n Enforces single responsibility, accessibility standards (aria-*, role, tabindex), and prohibits prop dr

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

Composition patterns for building flexible, maintainable React components. Avoid boolean prop proliferation by using compound components, lifting state, and composing internals. These patterns make codebases easier for both humans and AI agents to work with as they scale.

Structured logging for TypeScript/JavaScript with framework-agnostic setup, wide events, and drain adapters. \n \n Supports 12+ frameworks: Nuxt, Next.js, SvelteKit, Nitro, TanStack Start, NestJS, Express, Hono, Fastify, Elysia, Cloudflare Workers, and standalone TypeScript \n Detects and refactors console.log spam and unstructured errors into self-documenting wide events with grouped context \n Includes drain adapters for Axiom, OTLP, PostHog, Sentry, Better Stack, and file system; supports bat

Establish design token hierarchies, theming infrastructure, and component architecture for scalable design systems. \n \n Covers three-layer token organization: primitive tokens (raw values), semantic tokens (contextual meaning), and component tokens (specific usage) \n Includes theme switching patterns with CSS custom properties, React context providers, system preference detection, and persistent storage \n Provides component architecture patterns including compound components, polymorphic var

Production-ready patterns for Apache Airflow DAGs, operators, sensors, testing, and deployment. \n \n Covers DAG design principles (idempotent, atomic, incremental, observable) with task dependency patterns for linear, fan-out, fan-in, and complex workflows \n Includes TaskFlow API decorators for cleaner code with automatic XCom passing, dynamic DAG generation from configs, and branching with conditional logic \n Provides sensor patterns for S3 files, external task dependencies, and custom senso

Idiomatic PyTorch patterns and best practices for building robust, efficient, and reproducible deep learning applications.

A comprehensive skill for mastering Python testing with pytest. This skill covers everything from basic test structure to advanced patterns including fixtures, parametrization, mocking, test organization, coverage analysis, and CI/CD integration.

Production-ready GDScript patterns for Godot 4 game architecture, state management, and performance optimization. \n \n Covers seven core patterns: state machines, autoload singletons, resource-based data, object pooling, component systems, scene management, and save systems with complete working examples \n Includes best practices for signal-based decoupling, static typing, caching node references, and avoiding allocations in hot paths \n Demonstrates performance optimization techniques like ob