martinholovsky/claude-skills-generator/rabbitmq-expert

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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.

Install

npx vskill@latest install martinholovsky/claude-skills-generator/rabbitmq-expert

SKILL.md

RabbitMQ Message Broker Expert

1. Overview

You are an elite RabbitMQ engineer with deep expertise in:


2. Core Principles

  1. TDD First - Write tests before implementation; verify message flows with test consumers
  2. Performance Aware - Optimize prefetch, batching, and connection pooling from the start
  3. Reliability Obsessed - No message loss through durability, confirms, and proper acks
  4. Security by Default - TLS everywhere, no default credentials, proper isolation
  5. Observable Always - Monitor queue depth, throughput, latency, and cluster health
  6. Design for Failure - Dead letter exchanges, retries, circuit breakers

3. Implementation Workflow (TDD)

Step 1: Write Failing Test First
python
# tests/test_message_queue.py
import pytest
import pika
import json
import time
from unittest.mock import MagicMock, patch
class TestOrderProcessor:
"""Test order message processing with RabbitMQ"""
@pytest.fixture
def mock_channel(self):
"""Create mock channel for unit tests"""
channel = MagicMock()
channel.basic_qos = MagicMock()
channel.basic_consume = MagicMock()
channel.basic_ack = MagicMock()
channel.basic_nack = MagicMock()
return channel
@pytest.fixture
def rabbitmq_connection(self):
"""Create real connection for integration tests"""
try:
connection = pika.BlockingConnection(
pika.ConnectionParameters(
host='localhost',
connection_attempts=3,
retry_delay=1
)
)
yield connection
connection.close()
except pika.exceptions.AMQPConnectionError:
pytest.skip("RabbitMQ not available")
def test_message_acknowledged_on_success(self, mock_channel):
"""Test that successful processing sends ack"""
from app.consumers import OrderConsumer
consumer = OrderConsumer(mock_channel)
message = json.dumps({"order_id": 123, "status": "pending"})
# Create mock method with delivery tag
method = MagicMock()
method.delivery_tag = 1
# Process message
consumer.process_message(mock_channel, method, None, message.encode())
# Verify ack was called
mock_channel.basic_ack.assert_called_once_with(delivery_tag=1)
mock_channel.basic_nack.assert_not_called()
def test_message_rejected_to_dlx_on_failure(self, mock_channel):
"""Test that failed processing sends to DLX"""
from app.consumers import OrderConsumer
consumer = OrderConsumer(mock_channel)
invalid_message = b"invalid json"
method = MagicMock()
method.delivery_tag = 2
# Process invalid message
consumer.process_message(mock_channel, method, None, invalid_message)
# Verify nack was called without requeue (sends to DLX)
mock_channel.basic_nack.assert_called_once_with(
delivery_tag=2,
requeue=False
)
def test_prefetch_count_configured(self, mock_channel):
"""Test that prefetch count is properly set"""
from app.consumers import OrderConsumer
consumer = OrderConsumer(mock_channel, prefetch_count=10)
consumer.setup()
mock_channel.basic_qos.assert_called_once_with(prefetch_count=10)
def test_publisher_confirms_enabled(self, rabbitmq_connection):
"""Integration test: verify publisher confirms work"""
channel = rabbitmq_connection.channel()
channel.confirm_delivery()
# Declare test queue
channel.queue_declare(queue='test_confirms', durable=True)
# Publish with confirms - should not raise
channel.basic_publish(
exchange='',
routing_key='test_confirms',
body=b'test message',
properties=pika.BasicProperties(delivery_mode=2)
)
# Cleanup
channel.queue_delete(queue='test_confirms')
def test_dlx_receives_rejected_messages(self, rabbitmq_connection):
"""Integration test: verify DLX receives rejected messages"""
channel = rabbitmq_connection.channel()
# Setup DLX
channel.exchange_declare(exchange='test_dlx', exchange_type='fanout')
channel.queue_declare(queue='test_dead_letters')
channel.queue_bind(exchange='test_dlx', queue='test_dead_letters')
# Setup main queue with DLX
channel.queue_declare(
queue='test_main',
arguments={'x-dead-letter-exchange': 'test_dlx'}
)
# Publish and reject message
channel.basic_publish(
exchange='',
routing_key='test_main',
body=b'will be rejected'
)
# Get and reject message
method, props, body = channel.basic_get('test_main')
if method:
channel.basic_nack(delivery_tag=method.delivery_tag, requeue=False)
# Wait for DLX delivery
time.sleep(0.1)
# Verify message arrived in DLX queue
method, props, body = channel.basic_get('test_dead_letters')
assert body == b'will be rejected'
# Cleanup
channel.queue_delete(queue='test_main')
channel.queue_delete(queue='test_dead_letters')
channel.exchange_delete(exchange='test_dlx')
Step 2: Implement Minimum to Pass
python
# app/consumers.py
import json
import logging
logger = logging.getLogger(__name__)
class OrderConsumer:
"""Consumer that processes order messages with proper ack handling"""
def __init__(self, channel, prefetch_count=1):
self.channel = channel
self.prefetch_count = prefetch_count
def setup(self):
"""Configure channel settings"""
self.channel.basic_qos(prefetch_count=self.prefetch_count)
def process_message(self, ch, method, properties, body):
"""Process message with proper acknowledgment"""
try:
# Parse and validate message
order = json.loads(body)
# Process the order
self._handle_order(order)
# Acknowledge success
ch.basic_ack(delivery_tag=method.delivery_tag)
logger.info(f"Processed order: {order.get('order_id')}")
except json.JSONDecodeError as e:
logger.error(f"Invalid JSON: {e}")
# Send to DLX, don't requeue
ch.basic_nack(delivery_tag=method.delivery_tag, requeue=False)
except Exception as e:
logger.error(f"Processing failed: {e}")
ch.basic_nack(delivery_tag=method.delivery_tag, requeue=False)
def _handle_order(self, order):
"""Business logic for order processing"""
# Implementation here
pass
Step 3: Refactor if Needed

After tests pass, refactor for:

  • Better error categorization (transient vs permanent)
  • Retry logic with exponential backoff
  • Metrics collection
  • Connection recovery
Step 4: Run Full Verification
bash
# Run unit tests
pytest tests/test_message_queue.py -v
# Run with coverage
pytest tests/ --cov=app --cov-report=term-missing
# Run integration tests (requires RabbitMQ)
pytest tests/ -m integration -v
# Verify message flow end-to-end
python -m pytest tests/e2e/ -v

4. Performance Patterns

Pattern 1: Prefetch Count Tuning
python
# BAD: Unlimited prefetch - consumer gets overwhelmed
channel.basic_consume(queue='tasks', on_message_callback=callback)
# No prefetch set means unlimited - memory issues!
# GOOD: Appropriate prefetch based on processing time
# For fast processing (< 100ms): higher prefetch
channel.basic_qos(prefetch_count=50)
# For slow processing (> 1s): lower prefetch
channel.basic_qos(prefetch_count=1)
# For balanced workloads
channel.basic_qos(prefetch_count=10)

Tuning Guidelines:

  • Fast consumers (< 100ms): prefetch 20-50
  • Medium consumers (100ms-1s): prefetch 5-20
  • Slow consumers (> 1s): prefetch 1-5
  • Monitor consumer utilization to adjust
Pattern 2: Message Batching
python
# BAD: Publishing one message at a time with confirms
for order in orders:
channel.basic_publish(
exchange='orders',
routing_key='order.created',
body=json.dumps(order),
properties=pika.BasicProperties(delivery_mode=2)
)
# Waiting for confirm on each message - slow!
# GOOD: Batch publishing with bulk confirms
channel.confirm_delivery()
# Publish batch without waiting
for order in orders:
channel.basic_publish(
exchange='orders',
routing_key='order.created',
body=json.dumps(order),
properties=pika.BasicProperties(delivery_mode=2)
)
# Wait for all confirms at once
try:
channel.get_waiting_message_count() # Forces confirm flush
except pika.exceptions.NackError as e:
# Handle rejected messages
logger.error(f"Messages rejected: {e.messages}")
Pattern 3: Connection Pooling
python
# BAD: Creating new connection for each operation
def send_message(message):
connection = pika.BlockingConnection(params) # Expensive!
channel = connection.channel()
channel.basic_publish(...)
connection.close()
# GOOD: Reuse connections with pooling
from queue import Queue
import threading
class ConnectionPool:
def __init__(self, params, size=10):
self.pool = Queue(maxsize=size)
self.params = params
for _ in range(size):
conn = pika.BlockingConnection(params)
self.pool.put(conn)
def get_connection(self):
return self.pool.get()
def return_connection(self, conn):
if conn.is_open:
self.pool.put(conn)
else:
# Replace dead connection
self.pool.put(pika.BlockingConnection(self.params))
def publish(self, exchange, routing_key, body):
conn = self.get_connection()
try:
channel = conn.channel()
channel.basic_publish(
exchange=exchange,
routing_key=routing_key,
body=body,
properties=pika.BasicProperties(delivery_mode=2)
)
finally:
self.return_connection(conn)
Pattern 4: Lazy Queues for Large Backlogs
python
# BAD: Classic queue with large backlog - memory pressure
channel.queue_declare(queue='high_volume', durable=True)
# All messages kept in RAM - causes memory alarms!
# GOOD: Lazy queue moves messages to disk
channel.queue_declare(
queue='high_volume',
durable=True,
arguments={
'x-queue-mode': 'lazy' # Messages go to disk immediately
}
)
# BETTER: Quorum queue with memory limit
channel.queue_declare(
queue='high_volume',
durable=True,
arguments={
'x-queue-type': 'quorum',
'x-max-in-memory-length': 1000 # Only 1000 msgs in RAM
}
)

When to Use Lazy Queues:

  • Queue depth regularly exceeds 10,000 messages
  • Consumers are slower than publishers
  • Memory is constrained
  • Message order isn't time-critical
Pattern 5: Publisher Confirms Optimization
python
# BAD: Synchronous confirms - blocking on each message
channel.confirm_delivery()
for msg in messages:
try:
channel.basic_publish(...) # Blocks until confirmed
except Exception:
handle_failure()
# GOOD: Asynchronous confirms with callbacks
import pika
def on_confirm(frame):
if isinstance(frame.method, pika.spec.Basic.Ack):
logger.debug(f"Message {frame.method.delivery_tag} confirmed")
else:
logger.error(f"Message {frame.method.delivery_tag} rejected")
# Use SelectConnection for async
connection = pika.SelectConnection(
params,
on_open_callback=on_connected
)
def on_connected(connection):
channel = connection.channel(on_open_callback=on_channel_open)

This is the start of the file. Read the full SKILL.md on GitHub.

Security

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  • Model reviewPassed

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Source

Popularity

Installs
2
Unique users
1
Repository stars
31
Repository forks
3
7-day trend score
21

Installs come from the vskill CLI. Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 22 Mar 2026, 7 months ago.

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