azure-storage-queue-py
Lets your agent use Azure message queues with Python. It helps organize tasks and process information asynchronously and reliably.
What it does
This code helps organize tasks and information in queues. It allows you to send messages to a queue, receive them for processing, and then remove them.
When to use it
- ✓When you need a program to perform background tasks.
- ✓To distribute work among different parts of a system.
- ✓To ensure important messages are not lost.
Example of what to ask your AI
“Send the message 'Process sales report' to the task queue.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The code connects to a cloud-based queuing service. You can send messages (like instructions or data) to this queue. Other programs can then read these messages and act on them.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill azure-storage-queue-pyOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/azure-storage-queue-py/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Azure Queue Storage SDK for Python
Simple, cost-effective message queuing for asynchronous communication.
Installation
pip install azure-storage-queue azure-identity
Environment Variables
AZURE_STORAGE_ACCOUNT_URL=https://<account>.queue.core.windows.net
Authentication
from azure.identity import DefaultAzureCredential
from azure.storage.queue import QueueServiceClient, QueueClient
credential = DefaultAzureCredential()
account_url = "https://<account>.queue.core.windows.net"
# Service client
service_client = QueueServiceClient(account_url=account_url, credential=credential)
# Queue client
queue_client = QueueClient(account_url=account_url, queue_name="myqueue", credential=credential)
Queue Operations
# Create queue
service_client.create_queue("myqueue")
# Get queue client
queue_client = service_client.get_queue_client("myqueue")
# Delete queue
service_client.delete_queue("myqueue")
# List queues
for queue in service_client.list_queues():
print(queue.name)
Send Messages
# Send message (string)
queue_client.send_message("Hello, Queue!")
# Send with options
queue_client.send_message(
content="Delayed message",
visibility_timeout=60, # Hidden for 60 seconds
time_to_live=3600 # Expires in 1 hour
)
# Send JSON
import json
data = {"task": "process", "id": 123}
queue_client.send_message(json.dumps(data))
Receive Messages
# Receive messages (makes them invisible temporarily)
messages = queue_client.receive_messages(
messages_per_page=10,
visibility_timeout=30 # 30 seconds to process
)
for message in messages:
print(f"ID: {message.id}")
print(f"Content: {message.content}")
print(f"Dequeue count: {message.dequeue_count}")
# Process message...
# Delete after processing
queue_client.delete_message(message)
Peek Messages
# Peek without hiding (doesn't affect visibility)
messages = queue_client.peek_messages(max_messages=5)
for message in messages:
print(message.content)
Update Message
# Extend visibility or update content
messages = queue_client.receive_messages()
for message in messages:
# Extend timeout (need more time)
queue_client.update_message(
message,
visibility_timeout=60
)
# Update content and timeout
queue_client.update_message(
message,
content="Updated content",
visibility_timeout=60
)
Delete Message
# Delete after successful processing
messages = queue_client.receive_messages()
for message in messages:
try:
# Process...
queue_client.delete_message(message)
except Exception:
# Message becomes visible again after timeout
pass
Clear Queue
# Delete all messages
queue_client.clear_messages()
Queue Properties
# Get queue properties
properties = queue_client.get_queue_properties()
print(f"Approximate message count: {properties.approximate_message_count}")
# Set/get metadata
queue_client.set_queue_metadata(metadata={"environment": "production"})
properties = queue_client.get_queue_properties()
print(properties.metadata)
Async Client
from azure.storage.queue.aio import QueueServiceClient, QueueClient
from azure.identity.aio import DefaultAzureCredential
async def queue_operations():
credential = DefaultAzureCredential()
async with QueueClient(
account_url="https://<account>.queue.core.windows.net",
queue_name="myqueue",
credential=credential
) as client:
# Send
await client.send_message("Async message")
# Receive
async for message in client.receive_messages():
print(message.content)
await client.delete_message(message)
import asyncio
asyncio.run(queue_operations())
Base64 Encoding
from azure.storage.queue import QueueClient, BinaryBase64EncodePolicy, BinaryBase64DecodePolicy
# For binary data
queue_client = QueueClient(
account_url=account_url,
queue_name="myqueue",
credential=credential,
message_encode_policy=BinaryBase64EncodePolicy(),
message_decode_policy=BinaryBase64DecodePolicy()
)
# Send bytes
queue_client.send_message(b"Binary content")
Best Practices
- Delete messages after processing to prevent reprocessing
…
FAQ
What is a queue?
A queue is like a waiting line. Messages arrive and are processed in the order they come in.
Why use queues?
Queues help decouple systems, allowing them to communicate reliably even if one is slower than the other.
Can I send any type of information?
Yes, you can send plain text, structured data like JSON, or even binary data.
Details
Original description by the author
Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2385
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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