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## Goal
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A curated collection of `Skills` and `Agents` to be used in modern `SDLC` workflows for Java Enterprise development.
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A curated and opinionated collection of `Skills` and `Agents` to be used in modern `SDLC` workflows for Java Enterprise development with your favorite AI Agent harness.
| HOW | SA, TL, SWE | Spec-Driven |`AI Plan mode` & `OpenSpec`|
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| HOW | TL, SWE | Java development |`Build system based on Maven`, `Design`, `Coding`, `Testing`, `Observability`, `Refactoring & JMH Benchmarking`, `Performance testing with JMeter`, `Profiling with Async profiler/OpenJDK tools`, `Documentation`, `Spring Boot`, `Quarkus`, `Micronaut`, `OpenAPI`, `Wiremock` & `AGENTS.md`|
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| HOW | TL, SWE | Java development |`Build system based on Maven`, `Design`, `Coding`, `Testing`, `Observability`, `Refactoring & JMH Benchmarking`, `Performance testing with JMeter`, `Profiling with Async profiler/OpenJDK tools`, `Documentation`, `Spring Boot`, `Quarkus`, `Micronaut`, `OpenAPI`, `WireMock` & `AGENTS.md`|
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## Deliverables
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| 1. [Skills for Java](./documentation/INVENTORY-SKILLS-JAVA.md)|`npx skills add jabrena/cursor-rules-java --all --agent cursor`|[`Skills for Java`](./documentation/GETTING-STARTED-SKILLS.md)|
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| 2. [Agents for Java](./documentation/INVENTORY-AGENTS-JAVA.md)|`@003-agents-installation` Install Agents in Cursor/Claude |[`Agents for Java`](./documentation/GETTING-STARTED-AGENTS.md)|
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-**Note:** After you install the skills, you can install the agents easily for Cursor or Claude.
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-**Note2:** If you continue using the System prompts/rules from this project, please review [the article](https://jabrena.github.io/cursor-rules-java/blog/2026/04/release-0.14.0.html), current `System prompts/rules` will be removed in next months.
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-**⚠️ Note:** If you continue using the System prompts/rules from this project, please review [the article](https://jabrena.github.io/cursor-rules-java/blog/2026/04/release-0.14.0.html). Current `System prompts/rules` will be removed in the coming months.
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### Compatibility
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This project is compatible with any tool that supports `Skills`, `Agents`, `AGENTS.md`, and `MCP` servers.
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## How to use them
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The SDLC has evolved with this new wave of AI tooling, which enhances the software engineering process. While building this project, we identified three workflows: `Prompting Engineering Workflow`, `Pipelines Workflow`, and `Agentic Workflow`.
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The SDLC has evolved with this new wave of AI tooling, which enhances the software engineering process. While building this project, we identified three workflows: `Prompt Engineering Workflow`, `Pipelines Workflow`, and `Agentic Workflow`.
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### Prompting Engineering Workflow
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### Prompt Engineering Workflow
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In this workflow, the software engineer interacts with models using `User prompts`. In an incremental way, you delegate a whole task or ask for help at specific points. You can use this project to refactor generated code, or delegate the task and attach a system prompt or Skills to it.
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The repository includes [a collection of examples](./examples/) where you can explore what these Skills and workflows enable for Java.
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## Architectural decision records, ADR
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## Architecture Decision Records (ADR)
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- Review the [ADR index](./documentation/adr/README.md) for the complete list.
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## Changelog
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- Review the [CHANGELOG](./CHANGELOG.md) for further details
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- Review the [CHANGELOG](./CHANGELOG.md) for further details.
<spanclass="page-subheading">A curated collection of Skills and Agents to be used in modern SDLC workflows for Java Enterprise development.</span>
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<spanclass="page-subheading">A curated and opinionated collection of Skills and Agents to be used in modern SDLC workflows for Java Enterprise development with your favorite AI Agent harness.</span>
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</div>
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</div>
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</div>
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<divclass="page-heading">
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<h1>Skills & Agents for Java</h1>
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<hrclass="small">
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<spanclass="page-subheading">A curated collection of Skills and Agents to be used in modern SDLC workflows for Java Enterprise development.</span>
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<spanclass="page-subheading">A curated and opinionated collection of Skills and Agents to be used in modern SDLC workflows for Java Enterprise development with your favorite AI Agent harness.</span>
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