Spring Boot Full Stack

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by mduongvandinh · vlatest · Repository

This skill generates complete Spring Boot applications, streamlining backend development and accelerating project setup for robust APIs and services.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add spring-boot-full-stack npx -- -y @trustedskills/spring-boot-full-stack
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "spring-boot-full-stack": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/spring-boot-full-stack"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

The spring-boot-full-stack skill enables AI agents to build, deploy, and manage complete Java-based web applications using the Spring Boot framework. It handles everything from backend logic and database integration to frontend rendering and containerized deployment.

When to use it

  • Rapidly prototype full-stack prototypes without managing separate infrastructure for frontend and backend services.
  • Deploy production-ready microservices that include REST APIs, secure authentication, and reactive data streams.
  • Automate the entire CI/CD pipeline for Java applications, ensuring consistent builds across development and staging environments.

Key capabilities

  • Generates complete project structures with Spring Initializr configurations.
  • Integrates relational databases (H2, MySQL, PostgreSQL) with JPA/Hibernate ORM.
  • Implements RESTful APIs and GraphQL endpoints automatically.
  • Configures security features including OAuth2, JWT, and role-based access control.
  • Produces Dockerfiles and Kubernetes manifests for container orchestration.

Example prompts

  • "Create a full-stack Spring Boot application with a user registration system using JWT authentication and a PostgreSQL database."
  • "Generate the code for a REST API that manages inventory data, including validation rules and error handling."
  • "Set up a Dockerized Spring Boot microservice ready for deployment on Kubernetes with health checks enabled."

Tips & gotchas

Ensure your AI agent has access to Java development tools and container runtime environments (Docker) to fully utilize the deployment features. While this skill covers standard configurations, complex custom enterprise requirements may need manual refinement of generated code.

Tags

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Details

Version
vlatest
License
Author
mduongvandinh
Installs
50

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Passed automated security scans.