jdubois

jdubois / dr-jskill

Public

An Agent Skill for creating Spring Boot applications

149
17
100% credibility
Found Feb 18, 2026 at 86 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Dr JSkill is a collection of guides and templates designed for AI coding assistants to generate complete, production-ready web applications following expert best practices.

How It Works

1
🔍 Discover Dr JSkill

You hear about Dr JSkill, a helpful guide that lets your AI coding buddy create full web apps just by chatting with it.

2
📥 Get the Skill Files

You download or copy the skill files to a special folder on your computer where your AI assistant looks for new tricks.

3
⚙️ Tell Your AI About It

You update your AI tool's settings so it recognizes and uses Dr JSkill whenever you need a new app.

4
💬 Chat to Create Your App

You simply tell your AI something like 'Use Dr JSkill to make a todo list app with a nice interface and database' and watch it build everything for you.

5
▶️ Start Your New App

You go into the new app folder it created and press play to launch it, seeing your web app come alive in your browser.

🎉 Enjoy Your Ready App

Your complete web application is now running smoothly, ready for you to use, tweak, or share with friends.

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AI-Generated Review

What is dr-jskill?

Dr JSkill is a JavaScript-based agent skill that lets AI coding assistants like GitHub Copilot CLI, Claude Code, or VSCode extensions generate production-ready Spring Boot 4.x apps with Java 25, PostgreSQL, Docker support, and front-ends in Vue.js, React, Angular, or Vanilla JS. Tell Copilot "create a todo app with user assignment and fancy UI," and it spits out a full project following Julien Dubois' best practices—no manual Spring Initializr tweaks needed. It solves the boilerplate grind for Spring Boot setups, delivering Docker Compose files, CI workflows, and devcontainers out of the box.

Why is it gaining traction?

Unlike rigid generators like JHipster, this agent skill hooks into natural language prompts via GitHub Copilot, Anthropic Claude, or OpenAI-compatible tools, making it tunable for custom features like hardcoded users or effects-heavy UIs. Developers notice the speed of AI-driven iteration—add database filtering or deploy to Azure in follow-up chats—plus seamless GitHub Actions and native image builds. Agent skills github copilot intellij and vscode integrations make it a drop-in for Microsoft GitHub agent workflows.

Who should use this?

Spring Boot backend devs prototyping REST APIs with Postgres need it for instant Docker-ready skeletons. Fullstack teams building todo lists or user-filtered apps without security overhead will save hours on setup. GitHub Copilot reddit fans or Claude users experimenting with agent github code generation fit perfectly.

Verdict

Worth forking for AI-assisted Spring Boot kicksstarts if you're in the agent skills copilot ecosystem, but its 74 stars and 1.0% credibility score scream experiment—docs are solid yet sparse on edge cases, tests basic. Pair with JHipster for maturity until it evolves.

(198 words)

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