New to Claude Skills? Learn how to install them →

sickn33 on GitHub

Azure Bot Service SDK

Free

Manage Azure Bot Service resources with Python.

Get this skill

Free · Opens the source repo

What Azure Bot Service SDK does

The Azure Bot Service Management SDK for Python provides developers with a comprehensive set of tools to create, manage, and configure Azure Bot Service resources. This SDK allows for seamless interaction with Azure's bot services, enabling users to handle various aspects of bot management, including bot creation, channel configuration, and connection settings. By leveraging this SDK, developers can streamline their bot development process and integrate their bots into multiple channels with ease.

Installation is straightforward, requiring the azure-mgmt-botservice and azure-identity packages. Once set up, developers can authenticate using the DefaultAzureCredential class, which simplifies the authentication process by leveraging Azure's identity services. The SDK supports operations such as creating new bots, retrieving bot details, updating existing bots, and deleting bots, making it a versatile tool for managing bot lifecycles.

In addition to bot management, the SDK facilitates the configuration of various communication channels, such as Microsoft Teams, Direct Line, and Web Chat. This allows developers to deploy their bots across multiple platforms, enhancing accessibility and user engagement. The SDK also supports OAuth connections, enabling bots to securely interact with external services, which is essential for building sophisticated conversational agents.

Overall, this SDK is ideal for developers looking to leverage Azure's robust bot services in their applications. It provides a powerful and flexible way to manage bot resources while ensuring secure and efficient communication across different channels.

When to use it

Use this SDK when you need to create, manage, or configure bots on the Azure Bot Service, particularly if you are working in a Python environment.

When not to use it

This SDK may not be suitable for users who do not require Azure services or prefer to manage bots through alternative platforms or interfaces.

What you can build with it

Creating a New Bot

Use the SDK to easily create a new bot by specifying parameters such as display name, description, and endpoint.

Managing Bot Channels

Configure various channels like Microsoft Teams or Direct Line to enhance your bot's accessibility.

Updating Bot Details

Modify existing bot properties, such as the display name and description, to reflect changes in your bot's functionality.

How to install Azure Bot Service SDK

View source

1. Install with the skills CLI

npx skills add sickn33/agentic-awesome-skills/azure-mgmt-botservice-py --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by sickn33

Azure Bot Service Management SDK for Python

Manage Azure Bot Service resources including bots, channels, and connections.

Installation

pip install azure-mgmt-botservice
pip install azure-identity

Environment Variables

AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_RESOURCE_GROUP=<your-resource-group>

Authentication

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"]
)

Create a Bot

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}")

Get Bot Details

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}")

List Bots in Resource Group

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}")

List All Bots in Subscription

all_bots = client.bots.list()

for bot in all_bots:
    print(f"Bot: {bot.name} in {bot.id.split('/')[4]}")

Update Bot

bot = client.bots.update(
    resource_group_name=resource_group,
    resource_name=bot_name,
    properties=BotProperties(
        display_name="Updated Bot Name",
        description="Updated description"
    )
)

Delete Bot

client.bots.delete(
    resource_group_name=resource_group,
    resource_name=bot_name
)

Configure Channels

Add Teams Channel

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
            )
        )
    )
)

Add Direct Line Channel

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
                    )
                ]
            )
        )
    )
)

Add Web Chat Channel

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
                    )
                ]
            )
        )
    )
)

Get Channel Details

channel = client.channels.get(
    resource_group_name=resource_group,
    resource_name=bot_name,
    channel_name="DirectLineChannel"
)

List Channel Keys

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}")

Bot Connections (OAuth)

Create Connection Setting

import os
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=os.environ["BOT_OAUTH_CLIENT_SECRET"],
            scopes="User.Read",
            service_provider_id="<service-provider-id>"
        )
    )
)

List Connections

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}")

Client Operations

OperationMethod
client.botsBot CRUD operations
client.channelsChannel configuration
client.bot_connectionOAuth connection settings
client.direct_lineDirect Line channel operations
client.emailEmail channel operations
client.operationsAvailable operations
client.host_settingsHost settings operations

SKU Options

SKUDescription
F0Free tier (limited messages)
S1Standard tier (unlimited messages)

Channel Types

ChannelClassPurpose
MsTeamsChannelMicrosoft TeamsTeams integration
DirectLineChannelDirect LineCustom client integration
WebChatChannelWeb ChatEmbeddable web widget
SlackChannelSlackSlack workspace integration
FacebookChannelFacebookMessenger integration
EmailChannelEmailEmail communication

Best Practices

  1. Use DefaultAzureCredential for authentication
  2. Start with F0 SKU for development, upgrade to S1 for production
  3. Store MSA App ID/Secret securely — use Key Vault
  4. Enable only needed channels — reduces attack surface
  5. Rotate Direct Line keys periodically
  6. Use managed identity when possible for bot connections
  7. Configure proper CORS for Web Chat channel

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Frequently asked questions about Azure Bot Service SDK

Similar skills