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Spring Boot Relational Crud

Checked
juandmj82·vlatest·backend

This skill generates Spring Boot CRUD operations for relational databases, streamlining backend development and simplifying data access logic.

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 juandmj82/my-spring-boot-skills --skill spring-boot-relational-crud -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

juandmj82

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 juandmj82/my-spring-boot-skills at 117750a6b7.

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

Commit
117750a6b7
Manifest
spring-boot-relational-crud/SKILL.md
Scanned
1 file, 269 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 basic CRUD (Create, Read, Update, Delete) operations on relational databases using Spring Boot. It facilitates building backend functionality for applications requiring data persistence and management. The agent can interact with the database through Java code generated by this skill, simplifying development tasks.

When to use it

  • Building a simple API: Quickly generate endpoints for managing data like user profiles or product catalogs.
  • Prototyping a backend service: Rapidly create a functional backend without extensive manual coding.
  • Automating database interactions: Automate tasks such as creating test data or updating records based on external triggers.
  • Generating boilerplate code: Reduce repetitive coding by having the skill generate initial Spring Boot project structure and database interaction logic.

Key capabilities

  • Spring Boot framework integration
  • Relational database connectivity (implementation details not specified)
  • CRUD operation generation (Create, Read, Update, Delete)
  • Java code generation for backend functionality

Example prompts

  • "Generate a Spring Boot application to manage 'products' with fields 'name', 'description', and 'price'."
  • "Create an endpoint to retrieve all products from the database."
  • "Update the price of product with ID 123 to $29.99."

Tips & gotchas

  • Requires a basic understanding of Spring Boot concepts for effective prompt engineering.
  • The specific relational database supported is not specified in the source content, so ensure compatibility before use.