backend▌

Guide AI agents in writing high-quality TypeScript code. This skill provides coding standards, architecture patterns, and tools for analysis and scaffolding.

Expert guidance for building high-performance FastAPI APIs with async best practices and clean Python patterns. \n \n Covers FastAPI fundamentals, Pydantic v2 validation, async/await patterns, and dependency injection for scalable backend development \n Emphasizes functional programming, early returns, guard clauses, and RORO (Receive an Object, Return an Object) pattern for maintainable code \n Includes error handling strategies, middleware design, caching optimization, and performance tuning f

Comprehensive best practices guide for building production-ready Spring Boot applications. \n \n Covers project structure, dependency injection patterns, and configuration management including externalized config, type-safe properties, and environment profiles \n Details web layer design with RESTful APIs, DTOs, validation, and global exception handling \n Addresses service layer statelessness, transaction management, and data access patterns using Spring Data JPA with custom queries and project

Guides analysis of Google Search Console (GSC) data: performance metrics, indexing, sitemaps, Core Web Vitals, and rich results. Covers best practices for monthly monitoring and actionable insights.

Simple, pragmatic, opinionated. Only what matters for writing production-grade python code.

Comprehensive backend development guidance covering modern languages, frameworks, APIs, security, and production patterns. \n \n Covers multiple language and framework choices (Node.js/NestJS, Python/FastAPI, Go, Rust) with decision matrices for selecting the right stack \n Includes security best practices aligned with OWASP Top 10 2025, authentication patterns (OAuth 2.1, JWT, RBAC), and input validation strategies \n Addresses scalability and performance through caching, database optimization,

Senior Python developer expertise for writing clean, efficient, and well-documented code. \n \n Covers correctness, type safety, performance, and style across eight detailed rule categories with examples \n Enforces type hints, dataclasses, proper error handling, and PEP 8 compliance as core practices \n Includes a code review checklist spanning logic, types, edge cases, security, and testing \n Provides a structured development process prioritizing design, type safety, and correctness before op

Expert guidance for designing scalable APIs, microservices, and distributed backend systems. \n \n Covers API design patterns (REST, GraphQL, gRPC, WebSockets), service boundaries using domain-driven design, and inter-service communication strategies (synchronous and asynchronous) \n Includes resilience patterns (circuit breakers, retries, timeouts), observability architecture (logging, metrics, distributed tracing), and security patterns (OAuth, JWT, RBAC, rate limiting) \n Provides event-drive

Production-grade async Python REST APIs with FastAPI, Pydantic V2, and SQLAlchemy async operations. \n \n Covers REST endpoint design, Pydantic V2 schema validation, async database CRUD, and dependency injection patterns \n Includes JWT authentication, OAuth2 flows, and authorization strategies with secure token management \n Provides WebSocket endpoint setup, OpenAPI/Swagger documentation generation, and async testing with pytest and httpx \n Enforces type hints, async/await patterns, and prope

Coding standards for readable, maintainable Java 17+ in Spring Boot services. \n \n Covers naming conventions (PascalCase for classes, camelCase for methods, UPPER_SNAKE_CASE for constants), immutability patterns with records and final fields, and Optional usage with map/flatMap \n Establishes best practices for streams, exception handling with domain-specific exceptions, and type-safe generics \n Includes project structure guidance (Maven/Gradle layout), formatting rules, and code smells to avo