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Found 75 Skills
Identifies subdomains and suggests bounded contexts in any codebase following DDD Strategic Design. Use when analyzing domain boundaries, identifying business subdomains, assessing domain cohesion, mapping bounded contexts, or when the user asks about DDD strategic design, domain analysis, or subdomain classification.
Testing knowledge base for PHP 8.4 projects. Provides testing pyramid, AAA pattern, naming conventions, isolation principles, DDD testing guidelines, and PHPUnit patterns.
Go backend development standards using DDD architecture, ent ORM, fx DI, and kiwi-lib utilities. Covers project structure, domain design, API/application/infrastructure layers, database workflow, and coding requirements.
Apply DDD tactical patterns in code using entities, value objects, aggregates, repositories, and domain events with explicit invariants.
Provides comprehensive guidance for DDD in microservices including bounded contexts, service boundaries, event-driven architecture, and microservice patterns. Use when the user asks about DDD microservices, needs to design microservices with DDD, or implement microservice architectures.
[Pragmatic DDD Architecture] Guide for creating Next.js Server Actions exactly tied to zod, neverthrow, and the domain architecture. Use when creating or editing any file in presentation/actions/. Covers "use server" placement, unknown parameters validated with `zod`, discriminated union response types, auth-first pattern, Value Object validation with TypeScript narrowing, use-case error mapping via `assertNever`, serviceContainer invocation, and revalidation strategy.
Domain-Driven Design patterns for TypeScript. Use when implementing ubiquitous language, value objects, entities, aggregates, domain events, domain services, or bounded contexts. Only applies to projects that explicitly use DDD. Do NOT use for simple CRUD or projects without domain modeling.
SOLID principles, hexagonal architecture, ports and adapters, and DDD tactical patterns for maintainable backends. Use when implementing clean architecture, decoupling services, separating domain logic, or creating testable architecture.
Enterprise-level Go architecture patterns including clean architecture, hexagonal architecture, DDD, and production-ready application structure.
Expert guidance for building production-ready FastAPI applications with modular architecture where each business domain is an independent module with own routes, models, schemas, services, cache, and migrations. Uses UV + pyproject.toml for modern Python dependency management, project name subdirectory for clean workspace organization, structlog (JSON+colored logging), pydantic-settings configuration, auto-discovery module loader, async SQLAlchemy with PostgreSQL, per-module Alembic migrations, Redis/memory cache with module-specific namespaces, central httpx client, OpenTelemetry/Prometheus observability, conversation ID tracking (X-Conversation-ID header+cookie), conditional Keycloak/app-based RBAC authentication, DDD/clean code principles, and automation scripts for rapid module development. Use when user requests FastAPI project setup, modular architecture, independent module development, microservice architecture, async database operations, caching strategies, logging patterns, configuration management, authentication systems, observability implementation, or enterprise Python web services. Supports max 3-4 route nesting depth, cache invalidation patterns, inter-module communication via service layer, and comprehensive error handling workflows.
Guide for @woltz/rich-domain DDD library and ecosystem. Use when building domain models, repositories, or working with Prisma/TypeORM adapters.
Guides FastAPI backend design using Domain-Driven Design (DDD) and Onion Architecture in Python. Use when structuring a FastAPI app (routes/handlers, Pydantic schemas, Depends-based DI), modeling domain Entities/Value Objects, defining repository interfaces, implementing SQLAlchemy infrastructure adapters, or writing use cases, based on the dddpy reference.