411 Frameworks Quarkus Jdbc

Community

jabrena

411-frameworks-quarkus-jdbc

Use when you need programmatic JDBC in Quarkus — Agroal DataSource, parameterized SQL, transactions, batching, and Dev Services. This should trigger for requests such as Review JDBC or SQL data access in a Quarkus project; Improve transactions and parameter binding for Quarkus JDBC; Translate SQLException to domain exceptions or stream large result sets; Fix CDI self-invocation bypassing @Transactional in Quarkus; Review Agroal DataSource usage in Quarkus JDBC. Part of Plinth Toolkit

Overview

Publisher	jabrena
Repository	`plinth`
Skill name	`411-frameworks-quarkus-jdbc`
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 411 Frameworks Quarkus Jdbc 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/411-frameworks-quarkus-jdbc
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/411-frameworks-quarkus-jdbc .claude/skills/411-frameworks-quarkus-jdbc

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

Use it in TypingMind

Enable 411 Frameworks Quarkus Jdbc 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 411 Frameworks Quarkus Jdbc 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 411 Frameworks Quarkus Jdbc 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.

Quarkus JDBC — programmatic SQL

Apply programmatic JDBC patterns in Quarkus with safe SQL and clear transactions.

What is covered in this Skill?

Injected javax.sql.DataSource (Agroal-backed) and try-with-resources for Connection / PreparedStatement
PreparedStatement with bind parameters — never string concatenation
Mapping ResultSet rows to Java records (dedicated mapRow method)
Safe single-row queries with Optional; never assume rs.next() succeeds
SQLException translation to domain exceptions (catch-translate-rethrow)
Streaming large result sets with setFetchSize to avoid OOM
Batch updates with addBatch / executeBatch for bulk inserts
@Transactional service boundaries and propagation types (TxType.REQUIRES_NEW for independent commits)
CDI self-invocation pitfall: always call transactional methods through the injected proxy
Dev Services for databases in dev/test
When to prefer Panache (@412) vs raw JDBC

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

Constraints

Compile before JDBC refactors; verify after changes.

MANDATORY: Run ./mvnw compile or mvn compile before applying any change
PREREQUISITE: Project must compile before applying JDBC improvements
SAFETY: If compilation fails, stop immediately
BLOCKING CONDITION: Compilation errors must be resolved by the user before proceeding
VERIFY: Run ./mvnw clean verify or mvn clean verify after applying improvements
BEFORE APPLYING: Read the reference for detailed rules and examples

When to use this skill

Review JDBC or SQL data access in a Quarkus project
Improve transactions and parameter binding for Quarkus JDBC
Translate SQLException to domain exceptions or stream large result sets
Fix CDI self-invocation bypassing @Transactional in Quarkus
Review Agroal DataSource usage in Quarkus JDBC

Workflow

Read reference and assess project context

Read references/411-frameworks-quarkus-jdbc.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/411-frameworks-quarkus-jdbc.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/411-frameworks-quarkus-jdbc.md31 KB

Frequently asked questions

What does the 411 Frameworks Quarkus Jdbc AI skill do?

Why use 411 Frameworks Quarkus Jdbc on TypingMind?

Because you install it once and use it with any model. 411 Frameworks Quarkus Jdbc 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 411 Frameworks Quarkus Jdbc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jabrena/plinth/tree/main/skills/411-frameworks-quarkus-jdbc. 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 411 Frameworks Quarkus Jdbc?

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 411 Frameworks Quarkus Jdbc?

As many as you like. As long as a model supports skills, you can use 411 Frameworks Quarkus Jdbc with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 411 Frameworks Quarkus Jdbc 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

Quarkus JDBC — programmatic SQL

Constraints

When to use this skill

Workflow

Reference

Bundled files

Frequently asked questions

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