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Spring Boot Migration

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rrezartprebreza
spring-boot-migration

Use when preparing a Spring Boot 3 application for Boot 4, upgrading to Boot 3.5 first, removing deprecated APIs, auditing dependencies, or planning a staged Framework 7 migration.

Overview

Publisherrrezartprebreza
Repositoryspring-boot-skills
Skill namespring-boot-migration
Stars
322
Forks
52
Bundled files
3
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rrezartprebreza on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/rrezartprebreza/spring-boot-skills/tree/main/skills/spring-boot-3/spring-boot-migration
  4. 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.
2

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/rrezartprebreza/spring-boot-skills.git /tmp/spring-boot-skills
mkdir -p .claude/skills
cp -r /tmp/spring-boot-skills/skills/spring-boot-3/spring-boot-migration .claude/skills/spring-boot-migration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spring Boot Migration 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 Spring Boot Migration 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 Spring Boot Migration 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.

Spring Boot 3 to 4 Migration

Migrate in controlled stages. Keep behavior changes separate from the framework upgrade.

Establish the baseline

  1. Upgrade to the latest Boot 3.5 maintenance release.
  2. Run unit, slice, integration, startup, and migration tests before changing the major version.
  3. Remove Boot 3 deprecations and record all explicitly versioned dependencies.
  4. Compare the Boot 3.5 and Boot 4 dependency-management reports.
  5. Verify Spring Cloud and other portfolio release-train compatibility independently.

Prepare for Boot 4

  • Require Java 17 or newer; prefer Java 21 for application builds.
  • Replace javax.* remnants with Jakarta APIs before the upgrade.
  • Remove Undertow assumptions; Boot 4 requires a Servlet 6.1-compatible container.
  • Inventory Jackson 2 custom modules, serializers, ObjectMapper beans, and package imports.
  • Inventory test annotations, especially @MockBean, @SpyBean, and implicit MockMvc setup.
  • Add spring-boot-properties-migrator temporarily after changing the Boot version, then remove it.

Migrate dependencies deliberately

Boot 4 is more modular. Prefer dedicated starters over relying on incidental transitive dependencies. Expect dedicated starters for web MVC, security tests, Flyway/Liquibase, and technology-specific tests. Use the classic starters only as a temporary diagnostic bridge, never as the final dependency model.

Verify the result

  • Run the application with every supported profile.
  • Exercise schema migration against a production-like database copy.
  • Verify JSON contracts, security failures, pagination, and error responses.
  • Confirm actuator exposure, logging, metrics, and tracing behavior.
  • Remove the properties migrator and all classic starters before declaring the migration complete.

Examples

  • See examples/good-migration-plan.md for a staged migration.
  • See examples/bad-migration-plan.md for a risky one-step upgrade.

Gotchas

  • Agent jumps from an old Boot 3 minor directly to Boot 4 - upgrade to current 3.5 first.
  • Agent changes framework versions and business behavior together - isolate the migration diff.
  • Agent assumes all Boot 3 starters keep the same names and transitive dependencies - audit each one.
  • Agent leaves spring-boot-properties-migrator in production - remove it after configuration cleanup.
  • Agent treats passing compilation as completion - verify runtime wiring, JSON, security, and tests.

Bundled files

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

Frequently asked questions

What does the Spring Boot Migration AI skill do?

Use when preparing a Spring Boot 3 application for Boot 4, upgrading to Boot 3.5 first, removing deprecated APIs, auditing dependencies, or planning a staged Framework 7 migration.

Why use Spring Boot Migration on TypingMind?

Because you install it once and use it with any model. Spring Boot Migration 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 Spring Boot Migration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rrezartprebreza/spring-boot-skills/tree/main/skills/spring-boot-3/spring-boot-migration. 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 Spring Boot Migration?

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 Spring Boot Migration?

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

Is the Spring Boot Migration AI skill free?

Yes. It is published on GitHub by rrezartprebreza under the MIT 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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