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122 Java Type Design

Checked
jabrena·vlatest·backend·Apache-2.0

Helps with Java, design as part of developing backend services and APIs workflows.

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 jabrena/plinth --skill 122-java-type-design -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

jabrena

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 jabrena/cursor-rules-java at 8ac07fb219.

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

Commit
8ac07fb219
Manifest
skills/122-java-type-design/SKILL.md
Scanned
1 file, 71 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 design Java types, including classes and interfaces. It facilitates generating code based on natural language descriptions of desired functionality and structure. The agent can produce well-formed Java code that adheres to object-oriented principles and best practices for type design.

When to use it

  • Generating boilerplate code for new projects or modules.
  • Creating custom data structures to represent specific business domains.
  • Designing interfaces for abstracting common functionality across different classes.
  • Refactoring existing Java code by introducing more appropriate types.
  • Quickly prototyping class designs based on high-level requirements.

Key capabilities

  • Class design
  • Interface design
  • Object-oriented principles
  • Code generation
  • Adherence to best practices

Example prompts

  • "Create a Java class called 'Customer' with attributes for name, address, and order history."
  • "Design an interface 'Shape' with methods for calculating area and perimeter."
  • "Generate a Java class representing a binary search tree."

Tips & gotchas

  • The agent performs best when given clear and concise descriptions of the desired type. Providing context about the intended use case can improve results.