skills/codex/azure-appconfiguration-py/SKILL.md
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: azure-appconfiguration-py description: "Azure App Configuration SDK for Python" --- # 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_APPCONF
npx skillsauth add frank-luongt/faos-skills-marketplace skills/codex/azure-appconfiguration-pyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Centralized configuration management with feature flags and dynamic settings.
pip install azure-appconfiguration
AZURE_APPCONFIGURATION_CONNECTION_STRING=Endpoint=https://<name>.azconfig.io;Id=...;Secret=...
# Or for Entra ID:
AZURE_APPCONFIGURATION_ENDPOINT=https://<name>.azconfig.io
from azure.appconfiguration import AzureAppConfigurationClient
client = AzureAppConfigurationClient.from_connection_string(
os.environ["AZURE_APPCONFIGURATION_CONNECTION_STRING"]
)
from azure.appconfiguration import AzureAppConfigurationClient
from azure.identity import DefaultAzureCredential
client = AzureAppConfigurationClient(
base_url=os.environ["AZURE_APPCONFIGURATION_ENDPOINT"],
credential=DefaultAzureCredential()
)
setting = client.get_configuration_setting(key="app:settings:message")
print(f"{setting.key} = {setting.value}")
# Labels allow environment-specific values
setting = client.get_configuration_setting(
key="app:settings:message",
label="production"
)
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)
client.delete_configuration_setting(
key="app:settings:message",
label="development"
)
settings = client.list_configuration_settings()
for setting in settings:
print(f"{setting.key} [{setting.label}] = {setting.value}")
settings = client.list_configuration_settings(
key_filter="app:settings:*"
)
settings = client.list_configuration_settings(
label_filter="production"
)
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)
setting = client.get_configuration_setting(
key=".appconfig.featureflag/beta-feature"
)
flag_data = json.loads(setting.value)
print(f"Feature enabled: {flag_data['enabled']}")
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'}")
# 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
)
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()
settings = client.list_configuration_settings(
snapshot_name="v1-snapshot"
)
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()
| 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 |
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-mlflow-evaluation --- # MLflow 3 GenAI Evaluation ## Before Writing Any Code 1. **Read GOTCHAS.md** - 15+ common mistakes that cause failures 2. **Read CRITICAL-interfaces.md** - Exact API signatures and data schemas ## End-to-End Workflows Follow these workflows based on your goal. Each step indicates which reference files to read. ### Workflow 1: First-Time Evaluation Setup For users new to MLflow GenAI evalu
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tools
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development
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