azure-storage-queue-py
Azure Queue Storage SDK for Python.
Skill by MicrosoftOfficial
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About
Use cases: cloud, productivity
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/azure-storage-queue-py
What's inside
- Skill name
azure-storage-queue-py- Description
- Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing. Triggers: "queue storage", "QueueServiceClient", "QueueClient", "message queue", "dequeue".
- License
- MIT
- Metadata
- author: Microsoft · package: azure-storage-queue · version: 1.0.0
- Instructions
- 236 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- capabilities.md · references/
- non-hero-scenarios.md · references/
SKILL.md (first lines)
# Azure Queue Storage SDK for Python
Simple, cost-effective message queuing for asynchronous communication.
## Installation
```bash
pip install azure-storage-queue azure-identity
```
## Environment Variables
```bash
AZURE_STORAGE_ACCOUNT_URL=https://<account>.queue.core.windows.net # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
```
## Authentication & Lifecycle
> **🔑 Two rules apply to every code sample below:**
>
> 1. **Prefer `DefaultAzureCredential`.** It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
> - Local dev: `DefaultAzureCredential` works as-is.
> - Production: set `AZURE_TOKEN_CREDENTIALS=prod` (or `AZURE_TOKEN_CREDENTIALS=<specific_credential>`) to constrain the credential chain to production-safe credentials.
> 2. **Wrap every client in a context manager** so HTTP transports, sockets, and token caches are released deterministically:
> - Sync: `with <Client>(...) as client:`
> - Async: `async with <Client>(...) as client:` **and** `async with DefaultAzureCredential() as credential:` (from `azure.identity.aio`)
>
> Snippets may abbreviate this setup, but production code should always follow both rules.
```python
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.storage.queue import QueueServiceClient, QueueClient
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
account_url = "https://<account>.queue.core.windows.net"
# Service client
with QueueServiceClient(account_url=account_url, credential=credential) as service_client:
# Use service_client here (see following sections for operations)
...
# Queue client
with QueueClient(account_url=account_url, queue_name="myqueue", credential=credential) as queue_client:
# Use queue_client here (see following sections for operations)
...
```
## Queue Operations
```python
# 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
```python
# 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
```python
# 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
```python
# Peek without hiding (doesn't affect visibility)
messages = queue_client.peek_messages(max_messages=5)
for message in messages:
print(message.content)
```
## Update MessageFrom microsoft/skills, MIT.
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Signals
- Stars
- 3,145
- Forks
- 354
- Open issues
- 26
- Contributors
- 32
- Last commit (this folder)
- Jul 15, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- MIT
- Repository
- github.com/microsoft/skills
- Website
- microsoft.github.io/skills/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
azure-storage-queue-py skill. Agent Mart. https://agentmart.dev/skills/microsoft-azure-storage-queue-py (last updated 2026-10-24)