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Found 17 Skills
Configure AWS RDS (Aurora, MySQL, PostgreSQL) with Spring Boot applications. Use when setting up datasources, connection pooling, security, and production-ready database configuration.
Integration patterns for LangChain4j with Spring Boot. Auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications.
Configures Gradle with Spring Boot projects including plugin setup, bootable JAR creation, layered JARs for Docker optimization, and multi-module Spring Boot configurations. Use when asked to "set up Spring Boot with Gradle", "create executable JARs", "configure Docker layering", or "set up Spring Boot microservices".
Spring Boot testing fundamentals including @SpringBootTest, slice tests, MockMvc, mocking with @MockBean, test configuration, and testing utilities. For integration tests with Testcontainers, see spring-boot-integration. USE WHEN: user mentions "spring boot test", "mockmvc", "@WebMvcTest", "@DataJpaTest", asks about "@SpringBootTest", "@MockBean", "spring test", "controller test", "repository test" DO NOT USE FOR: Unit tests - use `junit` with Mockito; Integration tests with real DB - use `spring-boot-integration`; REST API clients - use `rest-assured`; E2E tests - use Selenium
testcontainers-python specialist. Covers all container modules (PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ, MinIO, Elasticsearch, LocalStack), GenericContainer, wait strategies, Docker Compose, networks, pytest fixtures, and CI/CD integration. USE WHEN: user mentions "testcontainers", "docker in tests", "real database in tests", "test with real postgres/redis/kafka", asks about container fixtures or Docker-based testing. DO NOT USE FOR: Spring Boot testcontainers (Java) - use `spring-boot-integration`; Mocking HTTP - use `fastapi-testing`; Pure pytest patterns - use `pytest`
Amazon DynamoDB patterns using AWS SDK for Java 2.x. Use when creating, querying, scanning, or performing CRUD operations on DynamoDB tables, working with indexes, batch operations, transactions, or integrating with Spring Boot applications.
Implement AWS messaging patterns using AWS SDK for Java 2.x for SQS queues and SNS topics. Send/receive messages, manage FIFO queues, implement DLQ, publish messages, manage subscriptions, and build pub/sub patterns.
Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt templates.
AWS Lambda patterns using AWS SDK for Java 2.x. Use when invoking Lambda functions, creating/updating functions, managing function configurations, working with Lambda layers, or integrating Lambda with Spring Boot applications.
Amazon S3 patterns and examples using AWS SDK for Java 2.x. Use when working with S3 buckets, uploading/downloading objects, multipart uploads, presigned URLs, S3 Transfer Manager, object operations, or S3-specific configurations.
AWS RDS (Relational Database Service) management using AWS SDK for Java 2.x. Use when creating, modifying, monitoring, or managing Amazon RDS database instances, snapshots, parameter groups, and configurations.
Amazon Bedrock patterns using AWS SDK for Java 2.x. Use when working with foundation models (listing, invoking), text generation, image generation, embeddings, streaming responses, or integrating generative AI with Spring Boot applications.