Is the generated project ready for API documentation?

Yes, the skill automatically adds the springdoc-openapi dependency and configures Swagger UI so your API is documented from the start.

What version of Java does this skill support?

This skill is optimized for Java 21, ensuring compatibility with the latest Long-Term Support features and Spring Boot 3.x requirements.

What testing tools are included in the scaffold?

The project comes pre-configured with Testcontainers for integration testing and ArchUnit for enforcing architectural rules within your Java code.

Does it include database configurations out of the box?

Yes, it automatically sets up configurations and Docker containers for PostgreSQL, MongoDB, and Redis, including connection properties and persistence volumes.

Can I customize the project name and package?

Absolutely. You can provide a custom artifactId and packageName to ensure the generated skeleton fits your specific project naming conventions.

Spring Boot Project Scaffolder

Name: Spring Boot Project Scaffolder
Author: rodolfolermacontreras

byrodolfolermacontreras

•

API Development

Automates the initialization and configuration of production-ready Spring Boot projects with integrated databases and Docker support.

This skill streamlines the setup of new Java applications by scaffolding a Spring Boot project using the Spring Initializr API. It goes beyond a basic project download by automatically configuring Maven dependencies for SpringDoc OpenAPI and ArchUnit, setting up detailed application properties for PostgreSQL, Redis, and MongoDB, and generating a functional docker-compose.yaml for local development. It is an essential tool for developers who want to skip the repetitive boilerplate of setting up microservices and move directly to feature implementation with a pre-configured, best-practice environment.

Key Features

01Standardized setup for Java 21, Spring Boot 3.4+, and Maven

02Automatic Docker Compose generation for local service orchestration

031 GitHub stars

04Pre-configured integration for PostgreSQL, Redis, and MongoDB

05Automated Spring Initializr scaffolding with customizable metadata

06Advanced dependency injection for OpenAPI documentation and architectural testing

Use Cases

01Creating standardized Java project skeletons for enterprise development teams

02Setting up a local development environment with pre-configured containerized services

03Rapidly prototyping a new Spring Boot microservice with full persistence layers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rodolfolermacontreras/microsoft-ai-learning create-spring-boot-java-project

For use in Claude.ai and ChatGPT

Key Features

01Standardized setup for Java 21, Spring Boot 3.4+, and Maven

02Automatic Docker Compose generation for local service orchestration

031 GitHub stars

04Pre-configured integration for PostgreSQL, Redis, and MongoDB

05Automated Spring Initializr scaffolding with customizable metadata

06Advanced dependency injection for OpenAPI documentation and architectural testing

Use Cases

01Creating standardized Java project skeletons for enterprise development teams

02Setting up a local development environment with pre-configured containerized services

03Rapidly prototyping a new Spring Boot microservice with full persistence layers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rodolfolermacontreras/microsoft-ai-learning create-spring-boot-java-project

For use in Claude.ai and ChatGPT