Enforce architectural standards for Spring Boot 3.x microservices.
npx skills add https://github.com/pessinamistic/pitwall --skill spring-boot-pessinamistic
Please help me install this Agent Skill. Skill: spring-boot Source: https://github.com/pessinamistic/pitwall/tree/main/.claude/skills/spring-boot Command: npx skills add https://github.com/pessinamistic/pitwall --skill spring-boot-pessinamistic
This Skill eliminates architectural drift and inconsistent implementation patterns in Spring Boot 3.x services by enforcing strict layering, dependency injection, and configuration standards.
Apply the spring-boot skill conventions to the current service to validate the controller layering and configuration structure.
High-intent search queries and answers about installing and using this skill.
To enforce strict layering and constructor injection in Spring Boot 3.x, apply standardized architectural conventions that mandate separation between controllers, services, and repositories. This prevents architectural drift and eliminates inconsistent field-level injection patterns across your Java backend stack.
The best way to standardize exception handling in Spring Boot is using a RestControllerAdvice for centralized mapping. This provides a unified approach to translating domain exceptions into consistent HTTP status codes across all your microservices.
To prevent leaking JPA entities and align API versioning with team standards, validate your DTOs, validation logic, and controllers against strict architectural standards. This ensures proper separation and stops domain entities from escaping through your API boundaries.
Yes, this Spring Boot architecture standard supports consistent Actuator wiring, typed configuration properties, and secure secret management. It ensures observability and configuration components are structured correctly within your Java microservices.
You should not use strict standardized architecture for Spring Boot microservices when building rapid prototypes or small scripts that do not require centralized exception handling. The strict layering and dependency injection rules add structural overhead better suited for long-term, scalable backend applications.
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