512 Frameworks Micronaut Data

Community

jabrena

512-frameworks-micronaut-data

Use when you need data access with Micronaut Data — @MappedEntity, CrudRepository/PageableRepository, @Query with parameters, @Transactional services, projections, @Version, and @MicronautTest with TestPropertyProvider and Testcontainers. For raw java.sql access without generated repositories, use @511-frameworks-micronaut-jdbc. This should trigger for requests such as Review or implement Micronaut Data repositories and entities; Add transactions, pagination, or projections in Micronaut persistence layer; Model Micronaut Data entities and repositories; Review Micronaut Data transactions and pageable queries; Improve projections or optimistic locking with Micronaut Data. Part of Plinth Toolkit

Overview

Publisher	jabrena
Repository	`plinth`
Skill name	`512-frameworks-micronaut-data`
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 512 Frameworks Micronaut Data 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/512-frameworks-micronaut-data
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/512-frameworks-micronaut-data .claude/skills/512-frameworks-micronaut-data

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

Use it in TypingMind

Enable 512 Frameworks Micronaut Data 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 512 Frameworks Micronaut Data 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 512 Frameworks Micronaut Data 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.

Micronaut Data Guidelines

Apply Micronaut Data patterns for relational repositories and safe SQL.

What is covered in this Skill?

@MappedEntity, @Id, @GeneratedValue, @MappedProperty for column mapping
@Repository interfaces extending CrudRepository / PageableRepository
Derived finder methods and @Query with named parameters
@Transactional on @Singleton services (readOnly where appropriate)
Page and Pageable for list endpoints
DTO/interface projections for read-heavy queries
@Version for optimistic locking
Integration tests: @MicronautTest + TestPropertyProvider + Testcontainers

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

Constraints

Compile before persistence changes; verify the full build after.

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 examples
EDGE CASE: If the user goal is ambiguous, stop and ask a clarifying question before editing files or running project-wide commands
EDGE CASE: If required context, files, credentials, or tools are missing, report the blocker explicitly and ask whether to proceed with setup or fallback guidance
EDGE CASE: If requested changes conflict with project constraints or safety boundaries, explain the conflict and ask for user confirmation on the preferred trade-off

When to use this skill

Review or implement Micronaut Data repositories and entities
Add transactions, pagination, or projections in Micronaut persistence layer
Model Micronaut Data entities and repositories
Review Micronaut Data transactions and pageable queries
Improve projections or optimistic locking with Micronaut Data

Workflow

Read reference and assess project context

Read references/512-frameworks-micronaut-data.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/512-frameworks-micronaut-data.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/512-frameworks-micronaut-data.md14 KB

Frequently asked questions

What does the 512 Frameworks Micronaut Data AI skill do?

Why use 512 Frameworks Micronaut Data on TypingMind?

Because you install it once and use it with any model. 512 Frameworks Micronaut Data 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 512 Frameworks Micronaut Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jabrena/plinth/tree/main/skills/512-frameworks-micronaut-data. 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 512 Frameworks Micronaut Data?

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 512 Frameworks Micronaut Data?

As many as you like. As long as a model supports skills, you can use 512 Frameworks Micronaut Data with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 512 Frameworks Micronaut Data 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

Micronaut Data Guidelines

Constraints

When to use this skill

Workflow

Reference

Bundled files

Frequently asked questions

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