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Java Dev

Checked
doccker·vlatest·backend

Generates, debugs, and optimizes Java code within Docker containers for robust backend applications.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add doccker/cc-use-exp --skill java-dev -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

doccker

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned doccker/cc-use-exp at 64470cb5c2.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
26 files, 6,066 lines
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The java-dev skill enables AI agents to write, debug, and refactor Java code within backend development workflows. It supports generating complete class structures, implementing business logic, and resolving compilation errors specific to the Java ecosystem.

When to use it

  • Building new microservices or enterprise applications using Spring Boot or Jakarta EE frameworks.
  • Refactoring legacy monolithic Java codebases into modular components.
  • Generating unit tests with JUnit or Mockito to ensure code reliability.
  • Debugging runtime exceptions like NullPointerException or concurrency issues in multi-threaded environments.

Key capabilities

  • Generates syntactically correct Java classes and interfaces from natural language descriptions.
  • Implements complex business logic including data validation, transaction management, and API endpoints.
  • Writes comprehensive unit tests and integration tests to cover edge cases.
  • Refactors existing code for improved performance, readability, or adherence to SOLID principles.
  • Resolves common compilation errors and dependency conflicts in Maven or Gradle projects.

Example prompts

  • "Create a Spring Boot REST controller that accepts user registration data and saves it to a database using JPA."
  • "Refactor this legacy Java method to use streams and handle null values safely according to modern best practices."
  • "Write a JUnit 5 test case for the OrderService class that verifies exception handling when inventory is insufficient."

Tips & gotchas

Ensure your AI agent has access to the project's pom.xml or build.gradle file to understand dependencies and project structure accurately. While the skill generates robust code, always review generated logic for security vulnerabilities, especially regarding input validation and SQL injection risks in database interactions.