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Java Development

Checked
apache·vlatest·backend·Apache-2.0

Generates, debugs, and optimizes Java code snippets and applications following Apache coding standards.

Repository

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 apache/beam --skill java-development -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

apache

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 apache/beam at 6f0047c13a.

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

Commit
6f0047c13a
Manifest
.agent/skills/java-development/SKILL.md
Scanned
1 file, 134 lines
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

This skill enables AI agents to perform Java development tasks. It allows users to generate, debug, and potentially execute Java code snippets within an automated workflow. The agent can assist with common programming challenges and contribute to larger software projects requiring Java expertise.

When to use it

  • Automated Code Generation: Generate boilerplate code or simple utility functions in Java based on natural language descriptions.
  • Debugging Assistance: Provide existing Java code snippets for the AI agent to analyze and identify potential errors.
  • Code Refactoring: Request the agent to refactor existing Java code for improved readability or performance.
  • Learning & Experimentation: Explore different Java programming concepts by prompting the agent to create examples.

Key capabilities

  • Java Code Generation
  • Debugging Support
  • Refactoring Assistance

Example prompts

  • "Write a simple Java program that calculates the factorial of a given number."
  • "Can you identify any potential errors in this Java code snippet: [paste code here]"
  • "Refactor this Java method to improve its readability: [paste code here]"

Tips & gotchas

The agent's effectiveness depends on the clarity and specificity of your prompts. Providing context or desired output formats will yield better results.