Spring Boot Skill
ListedGenerates Spring Boot project structures and code snippets, accelerating development by automating boilerplate tasks and promoting rapid application creation.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add sivaprasadreddy/sivalabs-agent-skills --skill spring-boot-skill -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
sivaprasadreddy
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.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: www.thymeleaf.org, www.ultraq.net.nz.
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.
Hosts contacted
www.w3.orgstandardswww.thymeleaf.orgundeclaredwww.ultraq.net.nzundeclaredWhat it found (3 of 7)
- skills/spring-boot/references/thymeleaf.md:19contacts www.thymeleaf.org
xmlns:th="http://www.thymeleaf.org"> - skills/spring-boot/references/thymeleaf.md:48contacts www.thymeleaf.org
xmlns:th="http://www.thymeleaf.org" - skills/spring-boot/references/thymeleaf.md:76contacts www.thymeleaf.org
xmlns:th="http://www.thymeleaf.org"
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 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 sivaprasadreddy/spring-boot-skill at 031ea5ce90.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 031ea5ce90
- Manifest
- skills/spring-boot/SKILL.md
- Scanned
- 19 files, 2,469 lines
About this skill
What it does
This skill allows AI agents to generate Spring Boot applications. It can create basic project structures, including necessary dependencies and configurations. The agent can also modify existing Spring Boot projects based on user instructions, such as adding new endpoints or features.
When to use it
- You need a quick starting point for a new Java application using the Spring Boot framework.
- You want to automate repetitive tasks in an existing Spring Boot project, like adding boilerplate code.
- You're prototyping a microservice and require a basic Spring Boot structure.
- You’re looking for assistance with modifying or extending an existing Spring Boot application.
Key capabilities
- Spring Boot Application Generation
- Project Structure Creation
- Dependency Management
- Code Modification within Spring Boot Projects
Example prompts
- "Create a new Spring Boot project named 'my-app' with a REST controller for managing users."
- "Add a database connection to my existing Spring Boot application using PostgreSQL."
- “Generate a simple Spring Boot endpoint that returns ‘Hello, World!’”
Tips & gotchas
The skill requires familiarity with Java and the Spring Boot framework. While it can generate basic applications, more complex requirements might necessitate manual adjustments after generation.