patterns▌

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.

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

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

Master RxJS in Angular for handling async operations, data streams, and reactive programming patterns.

Memory-safe programming patterns for RAII, ownership, smart pointers, and resource management across Rust, C++, and C. \n \n Covers six core memory bug categories (use-after-free, double-free, leaks, buffer overflow, dangling pointers, data races) with language-specific prevention strategies \n Provides RAII patterns in C++ with destructors, lock guards, and transactions; smart pointer guidance (unique_ptr, shared_ptr, weak_ptr) with custom deleters \n Implements Rust ownership, borrowing, lifet

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Navigate .NET concurrency from async/await through Channels to Akka.NET based on your specific problem. \n \n Start with async/await for I/O-bound work; escalate only when you hit a concrete limitation that simpler tools can't address cleanly \n Use Parallel.ForEachAsync for CPU-bound parallelism, Channel<T> for producer/consumer decoupling with backpressure, and Reactive Extensions for UI event composition \n Akka.NET Actors handle stateful entity management, state machines with Become() ,

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Advanced prompt engineering techniques for optimizing LLM performance, reliability, and structured outputs in production. \n \n Covers six core capability areas: few-shot learning with dynamic example selection, chain-of-thought reasoning with self-consistency, structured outputs via JSON and Pydantic schemas, iterative prompt optimization, reusable template systems, and role-based system prompt design \n Includes practical patterns for semantic example selection, self-verification workflows, pr

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