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Found 17 Skills
Expert RabbitMQ administrator and developer specializing in message broker architecture, exchange patterns, clustering, high availability, and production monitoring. Use when designing message queue systems, implementing pub/sub patterns, troubleshooting RabbitMQ clusters, or optimizing message throughput and reliability.
RabbitMQ integration testing with @SpringRabbitTest, RabbitListenerTestHarness, TestRabbitTemplate, and Testcontainers. Covers Java/Spring, Node.js, and Python. USE WHEN: user mentions "rabbitmq test", "@SpringRabbitTest", "RabbitListenerTestHarness", "TestRabbitTemplate", "RabbitMQContainer", "rabbitmq integration test" DO NOT USE FOR: RabbitMQ configuration - use `rabbitmq` skill; Spring AMQP usage - use `spring-amqp` skill; Generic testcontainers - use `testcontainers` skill
Best practices and guidelines for RabbitMQ message queue development with AMQP protocol
Rabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
Asynchronous messaging patterns for .NET applications. Covers Wolverine and MassTransit, outbox pattern, saga and choreography, and broker configuration for RabbitMQ and Azure Service Bus. Load this skill when implementing event-driven communication, background processing, module-to-module messaging, or when the user mentions "Wolverine", "MassTransit", "message bus", "RabbitMQ", "Azure Service Bus", "event", "publish", "consumer", "outbox", "saga", "integration event", "queue", or "pub/sub".
Event-driven architecture patterns including message queues, pub/sub, event sourcing, CQRS, and sagas. Use when implementing async messaging, distributed transactions, event stores, command query separation, domain events, integration events, data streaming, choreography, orchestration, or integrating with RabbitMQ, Kafka, Apache Pulsar, AWS SQS, AWS SNS, NATS, event buses, or message brokers.
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`
Event Sourcing, CQRS, Saga patterns, event bus (Kafka, RabbitMQ, AWS EventBridge). Use when implementing event-driven architecture, distributed transactions, or event sourcing.
Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.
Use this skill when designing event-driven systems, implementing event sourcing, applying CQRS patterns, selecting message brokers, or reasoning about eventual consistency. Triggers on tasks involving Kafka, RabbitMQ, event stores, command-query separation, domain events, sagas, compensating transactions, idempotency, message ordering, and any architecture where components communicate through asynchronous events rather than direct synchronous calls.
Patterns for using Testcontainers in .NET integration tests to spin up real dependencies like databases and message queues. Use when writing integration tests that require real databases, testing with message brokers like RabbitMQ or Kafka, or isolating test dependencies with Docker containers.
Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.