Best use case
azure-appconfiguration-py is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
|
Teams using azure-appconfiguration-py should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-appconfiguration-py/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-appconfiguration-py Compares
| Feature / Agent | azure-appconfiguration-py | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
|
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Azure App Configuration SDK for Python
Centralized configuration management with feature flags and dynamic settings.
## Installation
```bash
pip install azure-appconfiguration
```
## Environment Variables
```bash
AZURE_APPCONFIGURATION_CONNECTION_STRING=Endpoint=https://<name>.azconfig.io;Id=...;Secret=...
# Or for Entra ID:
AZURE_APPCONFIGURATION_ENDPOINT=https://<name>.azconfig.io
```
## Authentication
### Connection String
```python
from azure.appconfiguration import AzureAppConfigurationClient
client = AzureAppConfigurationClient.from_connection_string(
os.environ["AZURE_APPCONFIGURATION_CONNECTION_STRING"]
)
```
### Entra ID
```python
from azure.appconfiguration import AzureAppConfigurationClient
from azure.identity import DefaultAzureCredential
client = AzureAppConfigurationClient(
base_url=os.environ["AZURE_APPCONFIGURATION_ENDPOINT"],
credential=DefaultAzureCredential()
)
```
## Configuration Settings
### Get Setting
```python
setting = client.get_configuration_setting(key="app:settings:message")
print(f"{setting.key} = {setting.value}")
```
### Get with Label
```python
# Labels allow environment-specific values
setting = client.get_configuration_setting(
key="app:settings:message",
label="production"
)
```
### Set Setting
```python
from azure.appconfiguration import ConfigurationSetting
setting = ConfigurationSetting(
key="app:settings:message",
value="Hello, World!",
label="development",
content_type="text/plain",
tags={"environment": "dev"}
)
client.set_configuration_setting(setting)
```
### Delete Setting
```python
client.delete_configuration_setting(
key="app:settings:message",
label="development"
)
```
## List Settings
### All Settings
```python
settings = client.list_configuration_settings()
for setting in settings:
print(f"{setting.key} [{setting.label}] = {setting.value}")
```
### Filter by Key Prefix
```python
settings = client.list_configuration_settings(
key_filter="app:settings:*"
)
```
### Filter by Label
```python
settings = client.list_configuration_settings(
label_filter="production"
)
```
## Feature Flags
### Set Feature Flag
```python
from azure.appconfiguration import ConfigurationSetting
import json
feature_flag = ConfigurationSetting(
key=".appconfig.featureflag/beta-feature",
value=json.dumps({
"id": "beta-feature",
"enabled": True,
"conditions": {
"client_filters": []
}
}),
content_type="application/vnd.microsoft.appconfig.ff+json;charset=utf-8"
)
client.set_configuration_setting(feature_flag)
```
### Get Feature Flag
```python
setting = client.get_configuration_setting(
key=".appconfig.featureflag/beta-feature"
)
flag_data = json.loads(setting.value)
print(f"Feature enabled: {flag_data['enabled']}")
```
### List Feature Flags
```python
flags = client.list_configuration_settings(
key_filter=".appconfig.featureflag/*"
)
for flag in flags:
data = json.loads(flag.value)
print(f"{data['id']}: {'enabled' if data['enabled'] else 'disabled'}")
```
## Read-Only Settings
```python
# Make setting read-only
client.set_read_only(
configuration_setting=setting,
read_only=True
)
# Remove read-only
client.set_read_only(
configuration_setting=setting,
read_only=False
)
```
## Snapshots
### Create Snapshot
```python
from azure.appconfiguration import ConfigurationSnapshot, ConfigurationSettingFilter
snapshot = ConfigurationSnapshot(
name="v1-snapshot",
filters=[
ConfigurationSettingFilter(key="app:*", label="production")
]
)
created = client.begin_create_snapshot(
name="v1-snapshot",
snapshot=snapshot
).result()
```
### List Snapshot Settings
```python
settings = client.list_configuration_settings(
snapshot_name="v1-snapshot"
)
```
## Async Client
```python
from azure.appconfiguration.aio import AzureAppConfigurationClient
from azure.identity.aio import DefaultAzureCredential
async def main():
credential = DefaultAzureCredential()
client = AzureAppConfigurationClient(
base_url=endpoint,
credential=credential
)
setting = await client.get_configuration_setting(key="app:message")
print(setting.value)
await client.close()
await credential.close()
```
## Client Operations
| Operation | Description |
|-----------|-------------|
| `get_configuration_setting` | Get single setting |
| `set_configuration_setting` | Create or update setting |
| `delete_configuration_setting` | Delete setting |
| `list_configuration_settings` | List with filters |
| `set_read_only` | Lock/unlock setting |
| `begin_create_snapshot` | Create point-in-time snapshot |
| `list_snapshots` | List all snapshots |
## Best Practices
1. **Use labels** for environment separation (dev, staging, prod)
2. **Use key prefixes** for logical grouping (app:database:*, app:cache:*)
3. **Make production settings read-only** to prevent accidental changes
4. **Create snapshots** before deployments for rollback capability
5. **Use Entra ID** instead of connection strings in production
6. **Refresh settings periodically** in long-running applications
7. **Use feature flags** for gradual rollouts and A/B testing
## When to Use
This skill is applicable to execute the workflow or actions described in the overview.Related Skills
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