Skip to content
TrustedSkillsbeta
Back to all skills

Springboot Patterns

Checked
mark393295827·vlatest·backend

Generates Spring Boot code adhering to established design patterns for robust and maintainable 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 mark393295827/house-maint-ai --skill springboot-patterns -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

mark393295827

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 mark393295827/house-maint-ai at f5949ee9a1.

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

Scanned
1 file, 291 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 understand and apply Spring Boot architectural patterns. It allows the agent to analyze existing codebases, suggest improvements based on established design principles, and generate boilerplate code for new projects leveraging these patterns. The skill facilitates creating robust, scalable, and maintainable backend applications using Spring Boot.

When to use it

  • Code Review: When reviewing a Spring Boot application's architecture and identifying potential areas for improvement or refactoring.
  • New Project Setup: To quickly scaffold new Spring Boot projects with well-defined architectural patterns like REST controllers, service layers, and data repositories.
  • Troubleshooting Performance Issues: When diagnosing performance bottlenecks in a Spring Boot application by analyzing its design and suggesting optimizations based on established patterns.
  • Learning Spring Boot Architecture: As an educational tool to understand the benefits and implementation of common Spring Boot architectural patterns.

Key capabilities

  • Understanding of RESTful API design patterns within Spring Boot.
  • Knowledge of layered architecture principles for Spring Boot applications.
  • Ability to identify and apply data access patterns (e.g., Repository, Service).
  • Generation of boilerplate code based on selected architectural patterns.

Example prompts

  • "Analyze this Spring Boot codebase and suggest improvements using the Domain-Driven Design pattern."
  • "Generate a basic REST controller for managing 'products' in a Spring Boot application."
  • "Explain how to implement a layered architecture in my Spring Boot project."

Tips & gotchas

  • The agent’s effectiveness depends on its understanding of general software engineering principles. A foundational knowledge of object-oriented programming is helpful.