skills/azure-mgmt-botservice-py/SKILL.md
--- name: azure-mgmt-botservice-py description: "|" Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources. Triggers: "azure-mgmt-botservice", "AzureBotService", "bot management", "conversational AI", "bot channels". risk: unknown source: community --- # Azure Bot Service Management SDK for Python Manage Azure Bot Service resources including bots, channels, and connections. ## Installation ```bash pip install azure-mgmt-botser
npx skillsauth add benjaminastera/antigravity-awesome-skills skills/azure-mgmt-botservice-pyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Manage Azure Bot Service resources including bots, channels, and connections.
pip install azure-mgmt-botservice
pip install azure-identity
AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_RESOURCE_GROUP=<your-resource-group>
from azure.identity import DefaultAzureCredential
from azure.mgmt.botservice import AzureBotService
import os
credential = DefaultAzureCredential()
client = AzureBotService(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)
from azure.mgmt.botservice import AzureBotService
from azure.mgmt.botservice.models import Bot, BotProperties, Sku
from azure.identity import DefaultAzureCredential
import os
credential = DefaultAzureCredential()
client = AzureBotService(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)
resource_group = os.environ["AZURE_RESOURCE_GROUP"]
bot_name = "my-chat-bot"
bot = client.bots.create(
resource_group_name=resource_group,
resource_name=bot_name,
parameters=Bot(
location="global",
sku=Sku(name="F0"), # Free tier
kind="azurebot",
properties=BotProperties(
display_name="My Chat Bot",
description="A conversational AI bot",
endpoint="https://my-bot-app.azurewebsites.net/api/messages",
msa_app_id="<your-app-id>",
msa_app_type="MultiTenant"
)
)
)
print(f"Bot created: {bot.name}")
bot = client.bots.get(
resource_group_name=resource_group,
resource_name=bot_name
)
print(f"Bot: {bot.properties.display_name}")
print(f"Endpoint: {bot.properties.endpoint}")
print(f"SKU: {bot.sku.name}")
bots = client.bots.list_by_resource_group(resource_group_name=resource_group)
for bot in bots:
print(f"Bot: {bot.name} - {bot.properties.display_name}")
all_bots = client.bots.list()
for bot in all_bots:
print(f"Bot: {bot.name} in {bot.id.split('/')[4]}")
bot = client.bots.update(
resource_group_name=resource_group,
resource_name=bot_name,
properties=BotProperties(
display_name="Updated Bot Name",
description="Updated description"
)
)
client.bots.delete(
resource_group_name=resource_group,
resource_name=bot_name
)
from azure.mgmt.botservice.models import (
BotChannel,
MsTeamsChannel,
MsTeamsChannelProperties
)
channel = client.channels.create(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="MsTeamsChannel",
parameters=BotChannel(
location="global",
properties=MsTeamsChannel(
properties=MsTeamsChannelProperties(
is_enabled=True
)
)
)
)
from azure.mgmt.botservice.models import (
BotChannel,
DirectLineChannel,
DirectLineChannelProperties,
DirectLineSite
)
channel = client.channels.create(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="DirectLineChannel",
parameters=BotChannel(
location="global",
properties=DirectLineChannel(
properties=DirectLineChannelProperties(
sites=[
DirectLineSite(
site_name="Default Site",
is_enabled=True,
is_v1_enabled=False,
is_v3_enabled=True
)
]
)
)
)
)
from azure.mgmt.botservice.models import (
BotChannel,
WebChatChannel,
WebChatChannelProperties,
WebChatSite
)
channel = client.channels.create(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="WebChatChannel",
parameters=BotChannel(
location="global",
properties=WebChatChannel(
properties=WebChatChannelProperties(
sites=[
WebChatSite(
site_name="Default Site",
is_enabled=True
)
]
)
)
)
)
channel = client.channels.get(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="DirectLineChannel"
)
keys = client.channels.list_with_keys(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="DirectLineChannel"
)
# Access Direct Line keys
if hasattr(keys.properties, 'properties'):
for site in keys.properties.properties.sites:
print(f"Site: {site.site_name}")
print(f"Key: {site.key}")
from azure.mgmt.botservice.models import (
ConnectionSetting,
ConnectionSettingProperties
)
connection = client.bot_connection.create(
resource_group_name=resource_group,
resource_name=bot_name,
connection_name="graph-connection",
parameters=ConnectionSetting(
location="global",
properties=ConnectionSettingProperties(
client_id="<oauth-client-id>",
client_secret="<oauth-client-secret>",
scopes="User.Read",
service_provider_id="<service-provider-id>"
)
)
)
connections = client.bot_connection.list_by_bot_service(
resource_group_name=resource_group,
resource_name=bot_name
)
for conn in connections:
print(f"Connection: {conn.name}")
| Operation | Method |
|-----------|--------|
| client.bots | Bot CRUD operations |
| client.channels | Channel configuration |
| client.bot_connection | OAuth connection settings |
| client.direct_line | Direct Line channel operations |
| client.email | Email channel operations |
| client.operations | Available operations |
| client.host_settings | Host settings operations |
| SKU | Description |
|-----|-------------|
| F0 | Free tier (limited messages) |
| S1 | Standard tier (unlimited messages) |
| Channel | Class | Purpose |
|---------|-------|---------|
| MsTeamsChannel | Microsoft Teams | Teams integration |
| DirectLineChannel | Direct Line | Custom client integration |
| WebChatChannel | Web Chat | Embeddable web widget |
| SlackChannel | Slack | Slack workspace integration |
| FacebookChannel | Facebook | Messenger integration |
| EmailChannel | Email | Email communication |
This skill is applicable to execute the workflow or actions described in the overview.
development
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations,...
testing
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or ...
development
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati
development
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.