302 Frameworks Spring Boot Rest

Community

jabrena

302-frameworks-spring-boot-rest

Use when you need to design, review, or improve REST APIs with Spring Boot — including HTTP methods, resource URIs, status codes, DTOs, versioning, deprecation and sunset headers, content negotiation (JSON and vendor media types), ISO-8601 instants in DTOs, pagination/sorting/filtering, Bean Validation at the boundary, idempotency, ETag concurrency, HTTP caching, error handling, security, contract-first OpenAPI (OpenAPI Generator), controller advice, and problem details for errors. This should trigger for requests such as Review Java code for Spring Boot REST API; Apply best practices for Spring Boot REST API in Java code; Design Spring Boot REST controllers and DTOs; Add Problem Details error responses in Spring Boot REST; Improve pagination validation or idempotency in Spring APIs. Part of Plinth Toolkit

Overview

Publisher	jabrena
Repository	`plinth`
Skill name	`302-frameworks-spring-boot-rest`
Stars	455
Forks	95
Bundled files	1
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by jabrena on GitHub. Read the source before you install it.

Installation

Install the 302 Frameworks Spring Boot Rest AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/jabrena/plinth/tree/main/skills/302-frameworks-spring-boot-rest
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/jabrena/plinth.git /tmp/plinth
mkdir -p .claude/skills
cp -r /tmp/plinth/skills/302-frameworks-spring-boot-rest .claude/skills/302-frameworks-spring-boot-rest

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 302 Frameworks Spring Boot Rest in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 302 Frameworks Spring Boot Rest on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 302 Frameworks Spring Boot Rest is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Java REST API Design Principles

Apply REST API design principles for Spring Boot applications.

What is covered in this Skill?

HTTP methods (GET, POST, PUT, PATCH, DELETE) — semantic consistency
Resource URI design
HTTP status codes
Request/response DTOs with lean contracts
API versioning (URI, header, or media type — applied consistently)
Bean Validation at the boundary (@Valid/@Validated on controller inputs, 400 on failure)
Pagination, sorting, and filtering (Page/Pageable with caps)
ISO-8601 instants with offset (OffsetDateTime, Instant) in JSON contracts
Content negotiation (JSON default; vendor media types when meaningful)
Idempotency-Key support for POST creates; 409 Conflict for collisions
ETag concurrency with If-Match/If-None-Match; 412 Precondition Failed / 304 Not Modified
HTTP caching discipline (Cache-Control, ETag, Last-Modified)
Deprecation and sunset headers (Deprecation, Sunset, Link rel="successor-version)"
Error handling
API security (TLS, authentication, authorization, input validation)
API contract: OpenAPI file as source of truth for API-first (OpenAPI Generator)
Controller advice and problem details (RFC 7807)

Scope: Apply recommendations based on the reference rules and good/bad code examples.

Constraints

Before applying any REST API changes, ensure the project compiles. If compilation fails, stop immediately. After applying improvements, run full verification.

MANDATORY: Run ./mvnw compile or mvn compile before applying any change
SAFETY: If compilation fails, stop immediately
VERIFY: Run ./mvnw clean verify or mvn clean verify after applying improvements
BEFORE APPLYING: Read the reference for detailed rules and good/bad patterns
EDGE CASE: If request scope is ambiguous, stop and ask a clarifying question before applying changes
EDGE CASE: If required inputs, files, or tooling are missing, report what is missing and ask whether to proceed with setup guidance

When to use this skill

Review Java code for Spring Boot REST API
Apply best practices for Spring Boot REST API in Java code
Design Spring Boot REST controllers and DTOs
Add Problem Details error responses in Spring Boot REST
Improve pagination validation or idempotency in Spring APIs

Workflow

Read reference and assess project context

Read references/302-frameworks-spring-boot-rest.md and inspect the current project setup before proposing changes.

Gather scope and decide target improvements

Identify requested outcomes, constraints, and the minimum safe set of changes to apply.

Apply framework-aligned changes

Implement or refactor configuration/code following the reference patterns and project conventions.

Run verification and report results

Execute appropriate build/tests and summarize what changed, what was verified, and any follow-up actions.

Reference

For detailed guidance, examples, and constraints, see references/302-frameworks-spring-boot-rest.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/302-frameworks-spring-boot-rest.md41 KB

Frequently asked questions

What does the 302 Frameworks Spring Boot Rest AI skill do?

Why use 302 Frameworks Spring Boot Rest on TypingMind?

Because you install it once and use it with any model. 302 Frameworks Spring Boot Rest is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 302 Frameworks Spring Boot Rest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jabrena/plinth/tree/main/skills/302-frameworks-spring-boot-rest. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 302 Frameworks Spring Boot Rest?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 302 Frameworks Spring Boot Rest?

As many as you like. As long as a model supports skills, you can use 302 Frameworks Spring Boot Rest with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 302 Frameworks Spring Boot Rest AI skill free?

Yes. It is published on GitHub by jabrena under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Java REST API Design Principles

Constraints

When to use this skill

Workflow

Reference

Bundled files

Frequently asked questions

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