Wardn Hub
MCP ServersSkillsCategoriesAPI docsSubmit server
Submit server
Wardn HubTrusted MCP server directory.

Registry

  • MCP Servers
  • Skills
  • Categories

Resources

  • API docs
  • Score method

Contribute

  • Submit server
  • Advertise
© 2026 Wardn Hub
Wardn Hub
MCP ServersSkillsCategoriesAPI docsSubmit server
Submit server
skills/benchflow-ai/skillsbench/tasks-fix-druid-loophole-cve-environment-skills-senior-java

tasks-fix-druid-loophole-cve-environment-skills-senior-java

1
benchflow-ai/skillsbench·Coding Agents·Audit pending·Snapshot 7798c6029a18

Summary

This source did not publish a separate summary. Review SKILL.md before using the skill.

SKILL.md

Senior Java

World-class Java and Spring Boot development skill for enterprise applications, microservices, and cloud-native systems. Expertise in Spring Framework, Spring Boot 3.x, Spring Cloud, JPA/Hibernate, and reactive programming with WebFlux.

Overview

This skill provides production-ready Java and Spring Boot development capabilities through six Python automation tools and comprehensive reference documentation. Whether building enterprise monoliths, microservices architectures, or reactive systems, this skill ensures best practices, scalable architecture, and enterprise-grade security.

What This Skill Provides:

  • Spring Boot project scaffolding with layered architecture
  • JPA entity and repository generation with optimized queries
  • RESTful API endpoint scaffolding with proper error handling
  • Spring Security configuration (OAuth2, JWT, RBAC)
  • Dependency analysis and upgrade recommendations
  • JVM performance profiling and optimization guidance

Use this skill when:

  • Starting new Spring Boot projects or microservices
  • Implementing JPA/Hibernate data layers
  • Designing RESTful APIs with Spring MVC or WebFlux
  • Setting up authentication and authorization
  • Optimizing JVM and application performance
  • Reviewing Java code for quality and patterns

Core Value: Save 60%+ time on project scaffolding while ensuring enterprise-grade architecture, security compliance, and performance optimization.

Core Capabilities

  • Spring Boot Scaffolding - Generate production-ready Spring Boot 3.x projects with layered architecture, Docker configuration, and CI/CD pipelines
  • Entity Generation - Create JPA entities with repositories, services, controllers, DTOs, and mappers following DDD patterns
  • API Development - Scaffold RESTful endpoints with validation, error handling, pagination, and OpenAPI documentation
  • Security Implementation - Configure Spring Security with OAuth2, JWT, role-based access control, and security best practices
  • Dependency Management - Analyze dependencies for vulnerabilities, outdated versions, and upgrade paths
  • Performance Optimization - Profile JVM applications, identify bottlenecks, and generate optimization recommendations
  • Quick Start

    Create Spring Boot Project

    # Create microservice with PostgreSQL
    python scripts/spring_project_scaffolder.py order-service --type microservice --db postgresql
    
    # Create monolith with MySQL and security
    python scripts/spring_project_scaffolder.py ecommerce-app --type monolith --db mysql --security oauth2
    
    # Create reactive WebFlux service
    python scripts/spring_project_scaffolder.py notification-service --type reactive --db mongodb
    

    Generate JPA Entity

    # Generate complete entity stack (entity, repository, service, controller, DTO)
    python scripts/entity_generator.py Product --fields "id:Long,name:String,price:BigDecimal,category:String,createdAt:LocalDateTime"
    
    # Generate with relationships
    python scripts/entity_generator.py Order --fields "id:Long,customer:Customer,items:List<OrderItem>,total:BigDecimal" --relations "customer:ManyToOne,items:OneToMany"
    

    Analyze Dependencies

    # Check for vulnerabilities and updates
    python scripts/dependency_analyzer.py pom.xml --check-security
    
    # Generate upgrade report
    python scripts/dependency_analyzer.py build.gradle --output report.md
    

    Access Documentation

    • Spring Boot patterns: references/spring-boot-best-practices.md
    • Microservices design: references/microservices-patterns.md
    • JPA/Hibernate guide: references/jpa-hibernate-guide.md
    • Security reference: references/spring-security-reference.md
    • Performance tuning: references/java-performance-tuning.md

    Key Workflows

    1. New Spring Boot Microservice

    Time: 30-45 minutes

    1. Scaffold Project - Generate microservice with Spring Boot 3.x, Docker, and CI/CD

      python scripts/spring_project_scaffolder.py inventory-service --type microservice --db postgresql --security jwt
      
    2. Configure Environment - Set up application.yml with profiles (dev, staging, prod)

      cd inventory-service
      # Edit src/main/resources/application.yml
      # Configure database, security, and service discovery
      
    3. Generate Entities - Create domain model with JPA entities

      python scripts/entity_generator.py Inventory --fields "id:Long,productId:Long,quantity:Integer,warehouse:String"
      python scripts/entity_generator.py InventoryMovement --fields "id:Long,inventory:Inventory,quantity:Integer,type:MovementType,timestamp:LocalDateTime"
      
    4. Implement Business Logic - Add service layer logic and validation rules

    5. Add Tests - Generate unit and integration tests

      # Run tests
      ./mvnw test
      ./mvnw verify  # Integration tests
      
    6. Build and Deploy

      ./mvnw clean package -DskipTests
      docker build -t inventory-service:latest .
      

    See spring-boot-best-practices.md for complete setup patterns.

    2. REST API Development

    Time: 20-30 minutes per endpoint group

    1. Design API Contract - Define endpoints following REST conventions

      python scripts/api_endpoint_generator.py products --methods GET,POST,PUT,DELETE --paginated
      
    2. Implement Validation - Add Jakarta validation annotations and custom validators

    3. Configure Error Handling - Set up global exception handler with problem details (RFC 7807)

    4. Add OpenAPI Documentation - Configure SpringDoc for automatic API docs

    5. Test Endpoints - Generate integration tests with MockMvc or WebTestClient

    See spring-boot-best-practices.md for API design patterns.

    3. JPA/Hibernate Optimization

    Time: 1-2 hours for complex data models

    1. Analyze Current Queries - Profile repository methods for N+1 problems

      python scripts/performance_profiler.py --analyze-queries src/
      
    2. Optimize Fetch Strategies - Configure lazy/eager loading appropriately

    3. Add Query Hints - Implement entity graphs and query hints for complex queries

    4. Configure Caching - Set up Hibernate second-level cache with Hazelcast or Redis

    5. Implement Pagination - Use Spring Data's Slice or Page for large datasets

    See jpa-hibernate-guide.md for optimization patterns.

    4. Spring Security Implementation

    Time: 1-2 hours

    1. Generate Security Config - Create security configuration for chosen auth method

      python scripts/security_config_generator.py --type jwt --roles ADMIN,USER,MANAGER
      
    2. Configure OAuth2/JWT - Set up token generation, validation, and refresh

    3. Implement RBAC - Add role-based access control to endpoints

    4. Add Method Security - Configure @PreAuthorize and @PostAuthorize annotations

    5. Test Security - Generate security integration tests

    See spring-security-reference.md for security patterns.

    Python Tools

    spring_project_scaffolder.py

    Generate production-ready Spring Boot project structures with complete configuration.

    Key Features:

    • Spring Boot 3.x with Java 17/21 support
    • Multiple project types (microservice, monolith, reactive)
    • Database configuration (PostgreSQL, MySQL, MongoDB, H2)
    • Docker and Docker Compose setup
    • GitHub Actions CI/CD pipeline
    • Layered architecture (controller, service, repository)
    • Lombok and MapStruct integration

    Common Usage:

    # Microservice with PostgreSQL and JWT security
    python scripts/spring_project_scaffolder.py user-service --type microservice --db postgresql --security jwt
    
    # Monolith with MySQL and OAuth2
    python scripts/spring_project_scaffolder.py ecommerce --type monolith --db mysql --security oauth2
    
    # Reactive service with MongoDB
    python scripts/spring_project_scaffolder.py notification-service --type reactive --db mongodb
    
    # Help
    python scripts/spring_project_scaffolder.py --help
    

    entity_generator.py

    Generate complete JPA entity stacks with repository, service, controller, and DTO.

    Key Features:

    • JPA entity with Lombok annotations
    • Spring Data JPA repository with custom queries
    • Service layer with transaction management
    • REST controller with validation
    • DTO and mapper (MapStruct)
    • Relationship support (OneToMany, ManyToOne, ManyToMany)

    Common Usage:

    # Basic entity
    python scripts/entity_generator.py Customer --fields "id:Long,name:String,email:String"
    
    # Entity with relationships
    python scripts/entity_generator.py Order --fields "id:Long,customer:Customer,total:BigDecimal" --relations "customer:ManyToOne"
    
    # Entity with audit fields
    python scripts/entity_generator.py Product --fields "id:Long,name:String,price:BigDecimal" --auditable
    
    # Help
    python scripts/entity_generator.py --help
    

    api_endpoint_generator.py

    Scaffold RESTful API endpoints with validation and documentation.

    Key Features:

    • CRUD endpoint generation
    • Request/response DTOs
    • Jakarta validation annotations
    • OpenAPI annotations
    • Pagination support
    • Error handling

    Common Usage:

    # Full CRUD endpoints
    python scripts/api_endpoint_generator.py orders --methods GET,POST,PUT,DELETE
    
    # Read-only with pagination
    python scripts/api_endpoint_generator.py reports --methods GET --paginated
    
    # Help
    python scripts/api_endpoint_generator.py --help
    

    security_config_generator.py

    Generate Spring Security configuration for various authentication methods.

    Key Features:

    • JWT authentication setup
    • OAuth2 resource server configuration
    • Role-based access control
    • Method security configuration
    • CORS and CSRF configuration
    • Security filter chain

    Common Usage:

    # JWT security with roles
    python scripts/security_config_generator.py --type jwt --roles ADMIN,USER
    
    # OAuth2 resource server
    python scripts/security_config_generator.py --type oauth2 --issuer-uri https://auth.example.com
    
    # Help
    python scripts/security_config_generator.py --help
    

    dependency_analyzer.py

    Analyze Maven/Gradle dependencies for vulnerabilities and updates.

    Key Features:

    • Security vulnerability scanning
    • Outdated dependency detection
    • Upgrade path recommendations
    • Dependency tree analysis
    • License compliance checking

    Common Usage:

    # Analyze Maven project
    python scripts/dependency_analyzer.py pom.xml
    
    # Analyze Gradle with security focus
    python scripts/dependency_analyzer.py build.gradle --check-security
    
    # Generate markdown report
    python scripts/dependency_analyzer.py pom.xml --output report.md
    
    # Help
    python scripts/dependency_analyzer.py --help
    

    performance_profiler.py

    Profile JVM applications and generate optimization recommendations.

    Key Features:

    • Query analysis for N+1 detection
    • Memory usage patterns
    • GC behavior analysis
    • Thread pool recommendations
    • Connection pool optimization
    • JVM flag recommendations

    Common Usage:

    # Analyze source for performance issues
    python scripts/performance_profiler.py --analyze-queries src/
    
    # Profile running application
    python scripts/performance_profiler.py --profile http://localhost:8080/actuator
    
    # Generate optimization report
    python scripts/performance_profiler.py src/ --output performance-report.md
    
    # Help
    python scripts/performance_profiler.py --help
    

    Reference Documentation

    When to Use Each Reference

    spring-boot-best-practices.md - Spring Boot Patterns

    • Project structure and layered architecture
    • Configuration management with profiles
    • API design and error handling
    • Testing strategies (unit, integration, contract)
    • Production readiness (actuator, monitoring)

    microservices-patterns.md - Microservices Architecture

    • Service decomposition strategies
    • Spring Cloud components (Config, Gateway, Discovery)
    • Inter-service communication (REST, gRPC, messaging)
    • Distributed tracing and observability
    • Circuit breaker and resilience patterns

    jpa-hibernate-guide.md - Data Layer

    • Entity design and mapping strategies
    • Repository patterns and custom queries
    • Fetch optimization and N+1 prevention
    • Caching strategies (first-level, second-level)
    • Transaction management

    spring-security-reference.md - Security

    • Authentication methods (JWT, OAuth2, SAML)
    • Authorization patterns (RBAC, ABAC)
    • Security filter chain configuration
    • Method security annotations
    • Security testing

    java-performance-tuning.md - Performance

    • JVM tuning and GC optimization
    • Connection pool configuration
    • Caching strategies
    • Async processing and virtual threads
    • Profiling and monitoring tools

    Best Practices

    Quality Standards

    • Code Coverage: Target 80%+ for business logic, 60%+ overall
    • API Documentation: 100% endpoint coverage with OpenAPI
    • Security Scanning: Zero critical/high vulnerabilities
    • Performance: P99 latency < 200ms for CRUD operations

    Common Pitfalls to Avoid

    • N+1 Queries - Always use entity graphs or fetch joins for relationships
    • Missing Transactions - Ensure @Transactional on service methods modifying data
    • Blocking in WebFlux - Never use blocking calls in reactive pipelines
    • Hardcoded Configuration - Use externalized configuration with profiles
    • Missing Validation - Always validate input at controller layer
    • Open Sessions in View - Disable OSIV anti-pattern in production

    See spring-boot-best-practices.md for detailed guidelines.

    Performance Metrics

    Development Efficiency:

    • Project scaffolding time (target: < 30 minutes)
    • Entity stack generation (target: < 5 minutes per entity)
    • Security setup time (target: < 1 hour)

    Code Quality:

    • Test coverage (target: 80%+)
    • Static analysis issues (target: 0 critical/high)
    • Documentation coverage (target: 100% public APIs)

    Runtime Performance:

    • P99 latency (target: < 200ms)
    • Throughput (target: > 1000 RPS per instance)
    • Memory efficiency (target: < 512MB heap for typical service)

    Integration

    This skill works best with:

    • senior-backend - For general API patterns and database design
    • senior-architect - For system design and microservices architecture decisions
    • senior-devops - For CI/CD pipeline and Kubernetes deployment
    • senior-security - For security audits and penetration testing

    See spring-boot-best-practices.md for CI/CD and automation integration examples.

    Composability & Integration

    Skill Composition Patterns

    This skill receives input from:

    • senior-architect - Architecture decisions inform project scaffolding choices
    • business-analyst-toolkit - Requirements define entity models and API contracts
    • product-manager-toolkit - User stories guide feature implementation

    This skill provides output to:

    • senior-devops - Generated projects include Dockerfile and CI/CD configuration
    • senior-qa - Generated code includes test scaffolding for QA automation
    • technical-writer - OpenAPI specs feed API documentation generation

    Recommended Skill Combinations

    Workflow Pattern 1: Microservices Development

    senior-architect → senior-java → senior-devops
    

    Use this pattern for designing and deploying microservices with proper architecture review.

    Workflow Pattern 2: Full-Stack Feature

    senior-java → senior-frontend → senior-qa
    

    Use this pattern for end-to-end feature implementation with backend API, frontend UI, and testing.

    Benefits

    Time Savings:

    • 60% faster project scaffolding vs. manual setup
    • 50% reduction in boilerplate code through generation
    • 40% faster security implementation with templates

    Quality Improvements:

    • Consistent architecture across projects
    • Built-in security best practices
    • Comprehensive test coverage templates

    Business Impact:

    • Faster time-to-market for new services
    • Reduced technical debt through standardization
    • Lower maintenance costs through consistency

    Next Steps

    Getting Started:

    1. Run python scripts/spring_project_scaffolder.py my-service --type microservice --db postgresql to create your first project
    2. Review generated structure and customize configuration
    3. Generate entities with python scripts/entity_generator.py

    Advanced Usage:

    • Configure Spring Cloud for service discovery
    • Implement reactive patterns with WebFlux
    • Set up distributed tracing with Micrometer

    Additional Resources

    • Quick commands - See tool documentation above
    • Best practices - See spring-boot-best-practices.md
    • Troubleshooting - See java-performance-tuning.md
    • External documentation - Spring Boot Reference

    Documentation: Full skill guide and workflows available in this file

    Support: For issues or questions, refer to domain guide at ../CLAUDE.md

    Version: 1.0.0 | Last Updated: 2025-12-16 | Status: Production Ready

    Related skills

    testing-python13f-analyzerAutomatic Speech Recognition (ASR)Multimodal Fusion for Speaker DiarizationSpeaker Clustering Methods