java-deploy

Automate building and deploying Java applications with Maven, Gradle, or Spring Boot.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/nixopus/agent --skill java-deploy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: java-deploy
Source: https://github.com/nixopus/agent/tree/main/skills/java-deploy
Command: npx skills add https://github.com/nixopus/agent --skill java-deploy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates building and deploying Java applications by detecting Maven/Gradle configurations and Java versions, reducing manual setup and ensuring reproducible artifacts.

Core Features & Use Cases

  • Detection of Maven, Gradle, or Spring Boot projects at project root
  • Automatic Java version detection from pom.xml, build.gradle, or .java-version and .sdkmanrc files
  • Build and packaging for fat JARs or Docker images, including Spring Boot applications
  • Dockerfile pattern recommendations and multi-module project support

Quick Start

Invoke the java-deploy skill on a Java project to automatically detect the build system, compile, and produce a runnable JAR or Docker image.

Frequently Asked Questions about java-deploy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build and deploy a Java application automatically?

To build and deploy a Java application automatically, you can use a tool that detects Maven, Gradle, or Spring Boot configurations at the project root, resolving versions and producing runnable JARs or Docker images without manual setup.

Can I deploy a Spring Boot application as a Docker image?

Yes, you can deploy a Spring Boot application as a Docker image. The build process detects Spring Boot configurations, packages the application, and applies Dockerfile pattern recommendations to generate the runtime artifact.

How does automatic Java version detection work for Maven and Gradle projects?

Automatic Java version detection works by parsing pom.xml for Maven, build.gradle for Gradle, or reading .java-version and .sdkmanrc files to resolve the correct compiler and runtime environment for building artifacts.

What is the best way to build a multi-module Maven or Gradle project into a Docker image?

The best way to build a multi-module Maven or Gradle project into a Docker image is using an automated build system that detects multi-module setups, compiles dependencies in order, and packages the final artifact with an appropriate Dockerfile pattern.

Does automated Java deployment support both fat JARs and Docker packaging?

Yes, automated Java deployment supports both fat JARs and Docker packaging. It handles end-to-end build, test, and package stages to generate the desired runtime artifact, whether a standalone JAR or a Docker image.

Why do I need to provide a Dockerfile pattern for my Java deployment?

You need a Dockerfile pattern for your Java deployment to define how the runtime artifact is containerized. Automated build tools can recommend and apply these patterns to ensure reproducible Docker packaging for your compiled Java application.