patterns▌

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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Comprehensive Ktor patterns for building robust, maintainable HTTP servers with Kotlin coroutines.

Comprehensive testing framework for shell scripts using Bats with patterns, fixtures, and CI/CD integration. \n \n Covers core Bats concepts including test syntax, assertion patterns for exit codes and output, and setup/teardown lifecycle management \n Provides mocking and stubbing strategies for external commands, functions, and environment variables to isolate units under test \n Includes fixture management patterns, error condition testing, and shell compatibility validation across bash, sh,

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.

Implement proven backend architecture patterns for maintainable, testable, and scalable systems. \n \n Covers three core patterns: Clean Architecture (layered dependency inward), Hexagonal Architecture (ports and adapters), and Domain-Driven Design (bounded contexts, aggregates, value objects) \n Includes complete directory structures, code examples, and implementation patterns for Python backends using FastAPI, asyncpg, and similar frameworks \n Demonstrates practical separation of concerns: do

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

Battle-tested patterns for creating custom MQL5 indicators with proper display, buffer management, and real-time updates.