mcpbeat Sign in

Azure Mgmt Botservice Dotnet Agent Skill

|

3k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
2857
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/microsoft/skills --skill azure-mgmt-botservice-dotnet

The instruction itself

23 sections, as written by the author

Azure.ResourceManager.BotService (.NET)

Management plane SDK for provisioning and managing Azure Bot Service resources via Azure Resource Manager.

Installation

dotnet add package Azure.ResourceManager.BotService
dotnet add package Azure.Identity

Current Versions: Stable v1.1.1, Preview v1.1.0-beta.1

Environment Variables

AZURE_SUBSCRIPTION_ID=<your-subscription-id> # Required: Azure subscription ID
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production
AZURE_TENANT_ID=<tenant-id> # For service principal auth (optional)
AZURE_CLIENT_ID=<client-id> # For service principal auth (optional)
AZURE_CLIENT_SECRET=<client-secret> # For service principal auth (optional)

Authentication

using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.BotService;

// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
var credential = new DefaultAzureCredential(
    DefaultAzureCredential.DefaultEnvironmentVariableName
);
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes
// var credential = new ManagedIdentityCredential();
ArmClient armClient = new ArmClient(credential);

// Get subscription and resource group
SubscriptionResource subscription = await armClient.GetDefaultSubscriptionAsync();
ResourceGroupResource resourceGroup = await subscription.GetResourceGroups().GetAsync("myResourceGroup");

// Access bot collection
BotCollection botCollection = resourceGroup.GetBots();

Resource Hierarchy

ArmClient
└── SubscriptionResource
    └── ResourceGroupResource
        └── BotResource
            ├── BotChannelResource (DirectLine, Teams, Slack, etc.)
            ├── BotConnectionSettingResource (OAuth connections)
            └── BotServicePrivateEndpointConnectionResource

Core Workflows

1. Create Bot Resource

using Azure.ResourceManager.BotService;
using Azure.ResourceManager.BotService.Models;

// Create bot data
var botData = new BotData(AzureLocation.WestUS2)
{
    Kind = BotServiceKind.Azurebot,
    Sku = new BotServiceSku(BotServiceSkuName.F0),
    Properties = new BotProperties(
        displayName: "MyBot",
        endpoint: new Uri("https://mybot.azurewebsites.net/api/messages"),
        msaAppId: "<your-msa-app-id>")
    {
        Description = "My Azure Bot",
        MsaAppType = BotMsaAppType.MultiTenant
    }
};

// Create or update the bot
ArmOperation<BotResource> operation = await botCollection.CreateOrUpdateAsync(
    WaitUntil.Completed, 
    "myBotName", 
    botData);
    
BotResource bot = operation.Value;
Console.WriteLine($"Bot created: {bot.Data.Name}");

2. Configure DirectLine Channel

// Get the bot
BotResource bot = await resourceGroup.GetBots().GetAsync("myBotName");

// Get channel collection
BotChannelCollection channels = bot.GetBotChannels();

// Create DirectLine channel configuration
var channelData = new BotChannelData(AzureLocation.WestUS2)
{
    Properties = new DirectLineChannel()
    {
        Properties = new DirectLineChannelProperties()
        {
            Sites = 
            {
                new DirectLineSite("Default Site")
                {
                    IsEnabled = true,
                    IsV1Enabled = false,
                    IsV3Enabled = true,
                    IsSecureSiteEnabled = true
                }
            }
        }
    }
};

// Create or update the channel
ArmOperation<BotChannelResource> channelOp = await channels.CreateOrUpdateAsync(
    WaitUntil.Completed,
    BotChannelName.DirectLineChannel,
    channelData);

Console.WriteLine("DirectLine channel configured");

3. Configure Microsoft Teams Channel

var teamsChannelData = new BotChannelData(AzureLocation.WestUS2)
{
    Properties = new MsTeamsChannel()
    {
        Properties = new MsTeamsChannelProperties()
        {
            IsEnabled = true,
            EnableCalling = false
        }
    }
};

await channels.CreateOrUpdateAsync(
    WaitUntil.Completed,
    BotChannelName.MsTeamsChannel,
    teamsChannelData);

4. Configure Web Chat Channel

var webChatChannelData = new BotChannelData(AzureLocation.WestUS2)
{
    Properties = new WebChatChannel()
    {
        Properties = new WebChatChannelProperties()
        {
            Sites =
            {
                new WebChatSite("Default Site")
                {
                    IsEnabled = true
                }
            }
        }
    }
};

await channels.CreateOrUpdateAsync(
    WaitUntil.Completed,
    BotChannelName.WebChatChannel,
    webChatChannelData);

5. Get Bot and List Channels

// Get bot
BotResource bot = await botCollection.GetAsync("myBotName");
Console.WriteLine($"Bot: {bot.Data.Properties.DisplayName}");
Console.WriteLine($"Endpoint: {bot.Data.Properties.Endpoint}");

// List channels
await foreach (BotChannelResource channel in bot.GetBotChannels().GetAllAsync())
{
    Console.WriteLine($"Channel: {channel.Data.Name}");
}

6. Regenerate DirectLine Keys

var regenerateRequest = new BotChannelRegenerateKeysContent(BotChannelName.DirectLineChannel)
{
    SiteName = "Default Site"
};

BotChannelResource channelWithKeys = await bot.GetBotChannelWithRegenerateKeysAsync(regenerateRequest);

7. Update Bot

BotResource bot = await botCollection.GetAsync("myBotName");

// Update using patch
var updateData = new BotData(bot.Data.Location)
{
    Properties = new BotProperties(
        displayName: "Updated Bot Name",
        endpoint: bot.Data.Properties.Endpoint,
        msaAppId: bot.Data.Properties.MsaAppId)
    {
        Description = "Updated description"
    }
};

await bot.UpdateAsync(updateData);

8. Delete Bot

BotResource bot = await botCollection.GetAsync("myBotName");
await bot.DeleteAsync(WaitUntil.Completed);

Supported Channel Types

| Channel | Constant | Class |

|---------|----------|-------|

| Direct Line | BotChannelName.DirectLineChannel | DirectLineChannel |

| Direct Line Speech | BotChannelName.DirectLineSpeechChannel | DirectLineSpeechChannel |

| Microsoft Teams | BotChannelName.MsTeamsChannel | MsTeamsChannel |

| Web Chat | BotChannelName.WebChatChannel | WebChatChannel |

| Slack | BotChannelName.SlackChannel | SlackChannel |

| Facebook | BotChannelName.FacebookChannel | FacebookChannel |

| Email | BotChannelName.EmailChannel | EmailChannel |

| Telegram | BotChannelName.TelegramChannel | TelegramChannel |

| Telephony | BotChannelName.TelephonyChannel | TelephonyChannel |

Key Types Reference

| Type | Purpose |

|------|---------|

| ArmClient | Entry point for all ARM operations |

| BotResource | Represents an Azure Bot resource |

| BotCollection | Collection for bot CRUD |

| BotData | Bot resource definition |

| BotProperties | Bot configuration properties |

| BotChannelResource | Channel configuration |

| BotChannelCollection | Collection of channels |

| BotChannelData | Channel configuration data |

| BotConnectionSettingResource | OAuth connection settings |

BotServiceKind Values

| Value | Description |

|-------|-------------|

| BotServiceKind.Azurebot | Azure Bot (recommended) |

| BotServiceKind.Bot | Legacy Bot Framework bot |

| BotServiceKind.Designer | Composer bot |

| BotServiceKind.Function | Function bot |

| BotServiceKind.Sdk | SDK bot |

BotServiceSkuName Values

| Value | Description |

|-------|-------------|

| BotServiceSkuName.F0 | Free tier |

| BotServiceSkuName.S1 | Standard tier |

BotMsaAppType Values

| Value | Description |

|-------|-------------|

| BotMsaAppType.MultiTenant | Multi-tenant app |

| BotMsaAppType.SingleTenant | Single-tenant app |

| BotMsaAppType.UserAssignedMSI | User-assigned managed identity |

Best Practices

  • Use DefaultAzureCredential — supports multiple auth methods
  • Use WaitUntil.Completed for synchronous operations
  • Handle RequestFailedException for API errors
  • Use async methods (*Async) for all operations
  • Store MSA App credentials securely — use Key Vault for secrets
  • Use managed identity (BotMsaAppType.UserAssignedMSI) for production bots
  • Enable secure sites for DirectLine channels in production

Error Handling

using Azure;

try
{
    var operation = await botCollection.CreateOrUpdateAsync(
        WaitUntil.Completed, 
        botName, 
        botData);
}
catch (RequestFailedException ex) when (ex.Status == 409)
{
    Console.WriteLine("Bot already exists");
}
catch (RequestFailedException ex)
{
    Console.WriteLine($"ARM Error: {ex.Status} - {ex.ErrorCode}: {ex.Message}");
}

| SDK | Purpose | Install |

|-----|---------|---------|

| Azure.ResourceManager.BotService | Bot management (this SDK) | dotnet add package Azure.ResourceManager.BotService |

| Microsoft.Bot.Builder | Bot Framework SDK | dotnet add package Microsoft.Bot.Builder |

| Microsoft.Bot.Builder.Integration.AspNet.Core | ASP.NET Core integration | dotnet add package Microsoft.Bot.Builder.Integration.AspNet.Core |

| Resource | URL |

|----------|-----|

| NuGet Package | https://www.nuget.org/packages/Azure.ResourceManager.BotService |

| API Reference | https://learn.microsoft.com/dotnet/api/azure.resourcemanager.botservice |

| GitHub Source | https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/botservice/Azure.ResourceManager.BotService |

| Azure Bot Service Docs | https://learn.microsoft.com/azure/bot-service/ |

Other skills for the same job

different authors, same section of the catalogue
Lamindb
by christophacham
×3

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

22k tokens
Latchbio Integration
by christophacham
×3

Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.

12k tokens
Modal
by christophacham
×3

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

17k tokens
Pyhealth
by christophacham
×3

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

22k tokens
Github Workflow Automation
by ComeOnOliver
×3

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

9k tokens
Lamindb
by ComeOnOliver
×3

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

41k tokens
Ml Pipeline Workflow
by ComeOnOliver
×3

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

5k tokens
Pyhealth
by ComeOnOliver
×3

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

39k tokens

How to use it

Copy the folder

Take microsoft/azure-mgmt-botservice-dotnet from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.