clean-architecture
Guide for implementing Clean Architecture in Python/FastAPI projects. Use when creating new modules, refactoring existing code to Clean Architecture, designing layer structures, or implementing Port/Adapter pat...
Skills matching the name, description or GitHub author.
Guide for implementing Clean Architecture in Python/FastAPI projects. Use when creating new modules, refactoring existing code to Clean Architecture, designing layer structures, or implementing Port/Adapter pat...
Buenas prácticas y patrones de desarrollo Python para el proyecto MCP. Incluye estándares de código, patrones arquitectónicos, y convenciones.
Asynchronous programming patterns for Python, JavaScript/TypeScript, and other languages. Auto-triggers when implementing concurrent code, handling promises, or optimizing I/O operations.
Enterprise-ready Python development incorporating Kaizen (continuous improvement) and Monozukuri (meticulous craftsmanship) principles. Use this skill when building Python applications, APIs, CLI tools, data pi...
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes archi...
Python async/await patterns and asyncio best practices
Modern Python coding standards, best practices, testing patterns, and implementation guidelines
Python system design patterns, project structure, and scalable architecture guidelines
Implement features end-to-end in Laravel 12 + Inertia.js + React 19 + TypeScript OR Python + FastAPI + LangChain. Use when building new features, wiring controllers to pages, or implementing CRUD operations. EX...
OpenFGA authorization modeling best practices and guidelines. This skill should be used when authoring, reviewing, or refactoring OpenFGA authorization models. Triggers on tasks involving OpenFGA models, relati...
Expert backend development guidance covering Node.js, Python, Java, Go, API design (REST/GraphQL/gRPC), database patterns, authentication, caching, message queues, microservices, and testing. Produces productio...
Expert code review for Python, microservices, security, and production best practices. Automatically activated when code review is needed to identify bugs, security issues, and quality problems.
Interactive bug fixing workflow for Python and Node.js projects. Identifies issues, suggests fixes, and validates the fix works. Use when debugging errors or fixing specific bugs.
Python asyncio patterns for concurrent programming, async/await, and non-blocking I/O operations. WHEN: Building async APIs with FastAPI/aiohttp, implementing concurrent I/O operations, using asyncio.gather/cre...
FastAPI production patterns with Pydantic v2 and SQLAlchemy async. Use when: building Python APIs, async database, JWT auth. Do not use for: API design decisions (use api-design skill). Workflow: api-design (de...
Ensure code follows DDD architecture and DAL separation for both frontend and backend. Triggers: DDD, arch, 架構, 新功能, 新模組, new feature, scaffold, 骨架, domain, layer, 分層, structure, 結構, backend, fron...
Use when refactoring code or designing flexible systems. Covers creational, structural, and behavioral patterns with Python examples.
Complete guide for creating, publishing, and consuming events in the DeLoNET home network's 33GOD agentic developer pipeline. Built on RabbitMQ with strict type safety via Pydantic, async Python (aio-pika), Fas...
Complete guide for creating, publishing, and consuming events in the DeLoNET home network's 33GOD agentic developer pipeline. Built on RabbitMQ with strict type safety via Pydantic, async Python (aio-pika), Fas...
Generate intelligent Python project documentation with UML class diagrams, architecture diagrams, and code analysis. Analyzes codebase structure to recommend and create appropriate visualizations for project ov...
Python 프로젝트 의존성 관리 및 검토 가이드
Python 프로젝트 아키텍처 분석 및 설계 검토 가이드
Systematic identification of race conditions, concurrency bugs, and thread-safety issues across codebases. Use when asked to find race conditions, audit concurrent code, debug non-deterministic behavior, review...
Python coding style - pragmatic, readable, fast development over heavy abstraction
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