Can it write tests autonomously?

Yes, the skill is designed to write comprehensive unit tests using JUnit 5 and Mockito alongside the implementation code.

What technical stack does this skill support?

It is optimized for Java 21, Spring Boot 3.2, MySQL, Kafka, and Temporal workflows.

How does it handle database changes?

The skill uses Liquibase for version-controlled database migrations and Spring Data JPA for data access.

Does it require architectural input?

Yes, it follows a structured workflow that starts with specifications from an Architect or PM to ensure design alignment.

Is it compatible with other AI agents?

Yes, it features specific coordination syntax for working with Architect, Tech Lead, and PM agents in a multi-agent environment.

Backend Engineer

Name: Backend Engineer
Author: violetio

byvioletio

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API Development

Implements robust server-side logic, REST APIs, and data layers using Java and Spring Boot.

About

The Backend Engineer skill empowers Claude to function as a professional server-side developer, handling everything from API design and database migrations to asynchronous event processing and workflow orchestration. It provides structured patterns for implementing business logic, writing comprehensive unit tests, and integrating with third-party services within a Java/Spring Boot ecosystem. This skill is ideal for engineering teams looking to automate routine backend development tasks while maintaining high standards for code quality, observability, and architectural consistency.

Key Features

Manages database schemas and migrations via Liquibase and Spring Data JPA
Automates unit and integration testing with JUnit 5 and Mockito
1 GitHub stars
Builds RESTful APIs using JAX-RS and Spring Boot 3.2
Implements event-driven architectures with Kafka producers and consumers
Orchestrates complex business processes using Temporal workflows

Use Cases

Accelerating the development of new microservices or API endpoints
Implementing complex data persistence and messaging patterns in distributed systems
Modernizing legacy backend systems with Java 21 and Spring Boot

About

Key Features

Manages database schemas and migrations via Liquibase and Spring Data JPA
Automates unit and integration testing with JUnit 5 and Mockito
1 GitHub stars
Builds RESTful APIs using JAX-RS and Spring Boot 3.2
Implements event-driven architectures with Kafka producers and consumers
Orchestrates complex business processes using Temporal workflows

Use Cases

Accelerating the development of new microservices or API endpoints
Implementing complex data persistence and messaging patterns in distributed systems
Modernizing legacy backend systems with Java 21 and Spring Boot