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azure-mgmt-botservice-pyAzure mgmt botservice PY 部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:azure-mgmt-botservice-py(Azure mgmt botservice PY 部署)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/azure-mgmt-botservice-py
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-mgmt-botservice-py
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-mgmt-botservice-py

简介

面向 Python 开发者的 Azure Bot Service 资源管理工具集。

  • 可用于批量创建机器人、配置通信渠道及维护连接状态。
  • 集成 DefaultAzureCredential 简化本地调试与云端部署的身份验证流程。
  • 部署前请确认资源组位置及订阅权限,避免跨区域或越权操作引发异常。
  • azure-mgmt-botservice-py 属于云服务类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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

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>"
        )
    )
)

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.

适合场景

01

Azure 资源规划

02

云服务升级

03

基础设施检查

04

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

保留官方服务来源线索

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.59%
按下载量换算157

Claude

27.57%
按下载量换算122

Cursor

20.52%
按下载量换算91

Gemini CLI

9.14%
按下载量换算40

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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