Quarkus
Quarkus是一款code方向的AI技能,核心价值是Quarkus development standards and instructions,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Quarkus development standards and instructions
mkdir -p ./skills/quarkus && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/quarkus/SKILL.md -o ./skills/quarkus/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
- Instructions for high-quality Quarkus applications with Java 17 or later.
Project Context
- Latest Quarkus version: 3.x
- Java version: 17 or later
- Use Maven or Gradle for build management.
- Focus on clean architecture, maintainability, and performance.
Development Standards
- Write clear and concise comments for each class, method, and complex logic.
- Use Javadoc for public APIs and methods to ensure clarity for consumers.
- Maintain a consistent coding style across the project, adhering to Java conventions.
- Adhere to the Quarkus coding standards and best practices for optimal performance and maintainability.
- Follow Jarkarta EE and MicroProfile conventions, ensuring clarity in package organization.
- Use Java 17 or later features where appropriate, such as records and sealed classes.
Naming Conventions
- Use PascalCase for class names (e.g., `ProductService`, `ProductResource`).
- Use camelCase for method and variable names (e.g., `findProductById`, `isProductAvailable`).
- Use ALL_CAPS for constants (e.g., `DEFAULT_PAGE_SIZE`).
Quarkus
- Leverage Quarkus Dev Mode for faster development cycles.
- Implement build-time optimizations using Quarkus extensions and best practices.
- Configure native builds with GraalVM for optimal performance (e.g., use the quarkus-maven-plugin).
- Use quarkus logging capabilities (JBoss, SL4J or JUL) for consistent logging practices.
Quarkus-Specific Patterns
- Use `@ApplicationScoped` for singleton beans instead of `@Singleton`
- Use `@Inject` for dependency injection
- Prefer Panache repositories over traditional JPA repositories
- Use `@Transactional` on service methods that modify data
- Apply `@Path` with descriptive REST endpoint paths
- Use `@Consumes(MediaType.APPLICATION_JSON)` and `@Produces(MediaType.APPLICATION_JSON)` for REST resources
REST Resources
- Always use JAX-RS annotations (`@Path`, `@GET`, `@POST`, etc.)
- Return proper HTTP status codes (200, 201, 400, 404, 500)
- Use `Response` class for complex responses
- Include proper error handling with try-catch blocks
- Validate input parameters using Bean Validation annotations
- Implement rate limiting for public endpoints
Data Access
- Prefer Panache entities (extend `PanacheEntity`) over traditional JPA
- Use Panache repositories (`PanacheRepository<T>`) for complex queries
- Always use `@Transactional` for data modifications
- Use named queries for complex database operations
- Implement proper pagination for list endpoints
Configuration
- Use `application.properties` or `application.yaml` for simple configuration
- Use `@ConfigProperty` for type-safe configuration classes
- Prefer environment variables for sensitive data
- Use profiles for different environments (dev, test, prod)
Testing
- Use `@QuarkusTest` for integration tests
- Use JUnit 5 for unit tests
- Use `@QuarkusIntegrationTest` for native build tests
- Mock external dependencies using `@QuarkusTestResource`
- Use RestAssured for REST endpoint testing (`@QuarkusTestResource`)
- Use `@Transactional` for tests that modify the database
- Use test-containers for database integration tests
Don't use these patterns:
- Don't use field injection in tests (use constructor injection)
- Don't hardcode configuration values
- Don't ignore exceptions
Development Workflow
When creating new features:
1. Create entity with proper validation
2. Create repository with custom queries
3. Create service with business logic
4. Create REST resource with proper endpoints
5. Write comprehensive tests
6. Add proper error handling
7. Update documentation
Security Considerations
When implementing security:
- Use Quarkus Security extensions (e.g., `quarkus-smallrye-jwt`, `quarkus-oidc`).
- Implement role-based access control (RBAC) using MicroProfile JWT or OIDC.
- Validate all input parameters
🎯 Best For
- Claude users
- GitHub Copilot users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Quarkus to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Quarkus compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Quarkus?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Quarkus?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/quarkus/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.