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Use for queues, topics, subscriptions, and enterprise messaging patterns.\nTriggers: \"service bus\", \"ServiceBusClient\", \"queue\", \"topic\", \"subscription\", \"message broker\".","microsoft\u002Fskills","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M69AJYYW4E1RMSYCQDJ4FJSH",3202,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fplugins\u002Fazure-sdk-python\u002Fskills\u002Fazure-servicebus-py\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,9,36],"azure","azure servicebus py","subscriptions","queues","topics","for","broker","triggers","service","message","azure service bus","patterns","python","queue","use","Enterprise","messaging","sdk","2026-11-10 10:12:30",false,"---\nname: azure-servicebus-py\ndescription: |\n  Azure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns.\n  Triggers: \"service bus\", \"ServiceBusClient\", \"queue\", \"topic\", \"subscription\", \"message broker\".\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: azure-servicebus\n---\n\n# Azure Service Bus SDK for Python\n\nEnterprise messaging for reliable cloud communication with queues and pub\u002Fsub topics.\n\n## Installation\n\n```bash\npip install azure-servicebus azure-identity\n```\n\n## Environment Variables\n\n```bash\nSERVICEBUS_FULLY_QUALIFIED_NAMESPACE=\u003Cnamespace>.servicebus.windows.net  # Required for all auth methods\nSERVICEBUS_QUEUE_NAME=myqueue  # Required for queue operations\nSERVICEBUS_TOPIC_NAME=mytopic  # Required for topic operations\nSERVICEBUS_SUBSCRIPTION_NAME=mysubscription  # Required for subscription operations\nAZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production\n```\n\n## Authentication & Lifecycle\n\n> **? Two rules apply to every code sample below:**\n>\n> 1. **Prefer `DefaultAzureCredential`.** It works locally (Azure CLI \u002F VS Code \u002F Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account\u002FAPI keys — they bypass Entra audit and rotation.\n>    - Local dev: `DefaultAzureCredential` works as-is.\n>    - Production: set `AZURE_TOKEN_CREDENTIALS=prod` (or `AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>`) to constrain the credential chain to production-safe credentials.\n> 2. **Wrap every client in a context manager** so HTTP transports, sockets, and token caches are released deterministically:\n>    - Sync: `with \u003CClient>(...) as client:`\n>    - Async: `async with \u003CClient>(...) as client:` **and** `async with DefaultAzureCredential() as credential:` (from `azure.identity.aio`)\n>\n> Snippets may abbreviate this setup, but production code should always follow both rules.\n\n```python\nfrom azure.identity import DefaultAzureCredential, ManagedIdentityCredential\nfrom azure.servicebus import ServiceBusClient\n\n# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>\ncredential = DefaultAzureCredential(require_envvar=True)\n# Or use a specific credential directly in production:\n# See https:\u002F\u002Flearn.microsoft.com\u002Fpython\u002Fapi\u002Foverview\u002Fazure\u002Fidentity-readme?view=azure-python#credential-classes\n# credential = ManagedIdentityCredential()\nnamespace = \"\u003Cnamespace>.servicebus.windows.net\"\n\nwith ServiceBusClient(\n    fully_qualified_namespace=namespace,\n    credential=credential\n) as client:\n    # Use client here (see following sections for operations)\n    ...\n```\n\n## Client Types\n\n| Client | Purpose | Get From |\n|--------|---------|----------|\n| `ServiceBusClient` | Connection management | Direct instantiation |\n| `ServiceBusSender` | Send messages | `client.get_queue_sender()` \u002F `get_topic_sender()` |\n| `ServiceBusReceiver` | Receive messages | `client.get_queue_receiver()` \u002F `get_subscription_receiver()` |\n\n## Send Messages (Async)\n\n```python\nimport asyncio\nfrom azure.servicebus.aio import ServiceBusClient\nfrom azure.servicebus import ServiceBusMessage\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def send_messages():\n    credential = DefaultAzureCredential()\n    \n    async with ServiceBusClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        credential=credential\n    ) as client:\n        sender = client.get_queue_sender(queue_name=\"myqueue\")\n        \n        async with sender:\n            # Single message\n            message = ServiceBusMessage(\"Hello, Service Bus!\")\n            await sender.send_messages(message)\n            \n            # Batch of messages\n            messages = [ServiceBusMessage(f\"Message {i}\") for i in range(10)]\n            await sender.send_messages(messages)\n            \n            # Message batch (for size control)\n            batch = await sender.create_message_batch()\n            for i in range(100):\n                try:\n                    batch.add_message(ServiceBusMessage(f\"Batch message {i}\"))\n                except ValueError:  # Batch full\n                    await sender.send_messages(batch)\n                    batch = await sender.create_message_batch()\n                    batch.add_message(ServiceBusMessage(f\"Batch message {i}\"))\n            await sender.send_messages(batch)\n\nasyncio.run(send_messages())\n```\n\n## Receive Messages (Async)\n\n```python\nasync def receive_messages():\n    credential = DefaultAzureCredential()\n    \n    async with ServiceBusClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        credential=credential\n    ) as client:\n        receiver = client.get_queue_receiver(queue_name=\"myqueue\")\n        \n        async with receiver:\n            # Receive batch\n            messages = await receiver.receive_messages(\n                max_message_count=10,\n                max_wait_time=5  # seconds\n            )\n            \n            for msg in messages:\n                print(f\"Received: {str(msg)}\")\n                await receiver.complete_message(msg)  # Remove from queue\n\nasyncio.run(receive_messages())\n```\n\n## Receive Modes\n\n| Mode | Behavior | Use Case |\n|------|----------|----------|\n| `PEEK_LOCK` (default) | Message locked, must complete\u002Fabandon | Reliable processing |\n| `RECEIVE_AND_DELETE` | Removed immediately on receive | At-most-once delivery |\n\n```python\nfrom azure.servicebus import ServiceBusReceiveMode\n\nreceiver = client.get_queue_receiver(\n    queue_name=\"myqueue\",\n    receive_mode=ServiceBusReceiveMode.RECEIVE_AND_DELETE\n)\n```\n\n## Message Settlement\n\n```python\nasync with receiver:\n    messages = await receiver.receive_messages(max_message_count=1)\n    \n    for msg in messages:\n        try:\n            # Process message...\n            await receiver.complete_message(msg)  # Success - remove from queue\n        except ProcessingError:\n            await receiver.abandon_message(msg)  # Retry later\n        except PermanentError:\n            await receiver.dead_letter_message(\n                msg,\n                reason=\"ProcessingFailed\",\n                error_description=\"Could not process\"\n            )\n```\n\n| Action | Effect |\n|--------|--------|\n| `complete_message()` | Remove from queue (success) |\n| `abandon_message()` | Release lock, retry immediately |\n| `dead_letter_message()` | Move to dead-letter queue |\n| `defer_message()` | Set aside, receive by sequence number |\n\n## Topics and Subscriptions\n\n```python\n# Send to topic\nsender = client.get_topic_sender(topic_name=\"mytopic\")\nasync with sender:\n    await sender.send_messages(ServiceBusMessage(\"Topic message\"))\n\n# Receive from subscription\nreceiver = client.get_subscription_receiver(\n    topic_name=\"mytopic\",\n    subscription_name=\"mysubscription\"\n)\nasync with receiver:\n    messages = await receiver.receive_messages(max_message_count=10)\n```\n\n## Sessions (FIFO)\n\n```python\n# Send with session\nmessage = ServiceBusMessage(\"Session message\")\nmessage.session_id = \"order-123\"\nawait sender.send_messages(message)\n\n# Receive from specific session\nreceiver = client.get_queue_receiver(\n    queue_name=\"session-queue\",\n    session_id=\"order-123\"\n)\n\n# Receive from next available session\nfrom azure.servicebus import NEXT_AVAILABLE_SESSION\nreceiver = client.get_queue_receiver(\n    queue_name=\"session-queue\",\n    session_id=NEXT_AVAILABLE_SESSION\n)\n```\n\n## Scheduled Messages\n\n```python\nfrom datetime import datetime, timedelta, timezone\n\nmessage = ServiceBusMessage(\"Scheduled message\")\nscheduled_time = datetime.now(timezone.utc) + timedelta(minutes=10)\n\n# Schedule message\nsequence_number = await sender.schedule_messages(message, scheduled_time)\n\n# Cancel scheduled message\nawait sender.cancel_scheduled_messages(sequence_number)\n```\n\n## Dead-Letter Queue\n\n```python\nfrom azure.servicebus import ServiceBusSubQueue\n\n# Receive from dead-letter queue\ndlq_receiver = client.get_queue_receiver(\n    queue_name=\"myqueue\",\n    sub_queue=ServiceBusSubQueue.DEAD_LETTER\n)\n\nasync with dlq_receiver:\n    messages = await dlq_receiver.receive_messages(max_message_count=10)\n    for msg in messages:\n        print(f\"Dead-lettered: {msg.dead_letter_reason}\")\n        await dlq_receiver.complete_message(msg)\n```\n\n## Sync Client (for simple scripts)\n\n```python\nfrom azure.servicebus import ServiceBusClient, ServiceBusMessage\nfrom azure.identity import DefaultAzureCredential\n\nwith ServiceBusClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    credential=DefaultAzureCredential()\n) as client:\n    with client.get_queue_sender(\"myqueue\") as sender:\n        sender.send_messages(ServiceBusMessage(\"Sync message\"))\n    \n    with client.get_queue_receiver(\"myqueue\") as receiver:\n        for msg in receiver:\n            print(str(msg))\n            receiver.complete_message(msg)\n```\n\n## Best Practices\n\n1. **Pick sync OR async and stay consistent.** Do not mix `azure.xxx` sync clients with `azure.xxx.aio` async clients in the same call path. Choose one mode per module.\n2. **Always use context managers for clients and async credentials.** Wrap every client in `with Client(...) as client:` (sync) or `async with Client(...) as client:` (async) for proper cleanup. For async `DefaultAzureCredential` from `azure.identity.aio`, also use `async with credential:` so tokens and transports are cleaned up.\n3. **Use `DefaultAzureCredential`** for portable auth across local dev and Azure (avoid connection strings \u002F API keys when possible).\n4. **Use async client** for production workloads\n5. **Complete messages** after successful processing\n6. **Use dead-letter queue** for poison messages\n7. **Use sessions** for ordered, FIFO processing\n8. **Use message batches** for high-throughput scenarios\n9. **Set `max_wait_time`** to avoid infinite blocking\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fpatterns.md](references\u002Fpatterns.md) | Competing consumers, sessions, retry patterns, request-response, transactions |\n| [references\u002Fdead-letter.md](references\u002Fdead-letter.md) | DLQ handling, poison messages, reprocessing strategies |\n| [scripts\u002Fsetup_servicebus.py](scripts\u002Fsetup_servicebus.py) | CLI for queue\u002Ftopic\u002Fsubscription management and DLQ monitoring |\n","# Azure Service Bus SDK for Python\n\nEnterprise messaging for reliable cloud communication with queues and pub\u002Fsub topics.\n\n## Installation\n\n```bash\npip install azure-servicebus azure-identity\n```\n\n## Environment Variables\n\n```bash\nSERVICEBUS_FULLY_QUALIFIED_NAMESPACE=\u003Cnamespace>.servicebus.windows.net  # Required for all auth methods\nSERVICEBUS_QUEUE_NAME=myqueue  # Required for queue operations\nSERVICEBUS_TOPIC_NAME=mytopic  # Required for topic operations\nSERVICEBUS_SUBSCRIPTION_NAME=mysubscription  # Required for subscription operations\nAZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production\n```\n\n## Authentication & Lifecycle\n\n> **? Two rules apply to every code sample below:**\n>\n> 1. **Prefer `DefaultAzureCredential`.** It works locally (Azure CLI \u002F VS Code \u002F Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account\u002FAPI keys — they bypass Entra audit and rotation.\n>    - Local dev: `DefaultAzureCredential` works as-is.\n>    - Production: set `AZURE_TOKEN_CREDENTIALS=prod` (or `AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>`) to constrain the credential chain to production-safe credentials.\n> 2. **Wrap every client in a context manager** so HTTP transports, sockets, and token caches are released deterministically:\n>    - Sync: `with \u003CClient>(...) as client:`\n>    - Async: `async with \u003CClient>(...) as client:` **and** `async with DefaultAzureCredential() as credential:` (from `azure.identity.aio`)\n>\n> Snippets may abbreviate this setup, but production code should always follow both rules.\n\n```python\nfrom azure.identity import DefaultAzureCredential, ManagedIdentityCredential\nfrom azure.servicebus import ServiceBusClient\n\n# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>\ncredential = DefaultAzureCredential(require_envvar=True)\n# Or use a specific credential directly in production:\n# See https:\u002F\u002Flearn.microsoft.com\u002Fpython\u002Fapi\u002Foverview\u002Fazure\u002Fidentity-readme?view=azure-python#credential-classes\n# credential = ManagedIdentityCredential()\nnamespace = \"\u003Cnamespace>.servicebus.windows.net\"\n\nwith ServiceBusClient(\n    fully_qualified_namespace=namespace,\n    credential=credential\n) as client:\n    # Use client here (see following sections for operations)\n    ...\n```\n\n## Client Types\n\n| Client | Purpose | Get From |\n|--------|---------|----------|\n| `ServiceBusClient` | Connection management | Direct instantiation |\n| `ServiceBusSender` | Send messages | `client.get_queue_sender()` \u002F `get_topic_sender()` |\n| `ServiceBusReceiver` | Receive messages | `client.get_queue_receiver()` \u002F `get_subscription_receiver()` |\n\n## Send Messages (Async)\n\n```python\nimport asyncio\nfrom azure.servicebus.aio import ServiceBusClient\nfrom azure.servicebus import ServiceBusMessage\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def send_messages():\n    credential = DefaultAzureCredential()\n    \n    async with ServiceBusClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        credential=credential\n    ) as client:\n        sender = client.get_queue_sender(queue_name=\"myqueue\")\n        \n        async with sender:\n            # Single message\n            message = ServiceBusMessage(\"Hello, Service Bus!\")\n            await sender.send_messages(message)\n            \n            # Batch of messages\n            messages = [ServiceBusMessage(f\"Message {i}\") for i in range(10)]\n            await sender.send_messages(messages)\n            \n            # Message batch (for size control)\n            batch = await sender.create_message_batch()\n            for i in range(100):\n                try:\n                    batch.add_message(ServiceBusMessage(f\"Batch message {i}\"))\n                except ValueError:  # Batch full\n                    await sender.send_messages(batch)\n                    batch = await sender.create_message_batch()\n                    batch.add_message(ServiceBusMessage(f\"Batch message {i}\"))\n            await sender.send_messages(batch)\n\nasyncio.run(send_messages())\n```\n\n## Receive Messages (Async)\n\n```python\nasync def receive_messages():\n    credential = DefaultAzureCredential()\n    \n    async with ServiceBusClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        credential=credential\n    ) as client:\n        receiver = client.get_queue_receiver(queue_name=\"myqueue\")\n        \n        async with receiver:\n            # Receive batch\n            messages = await receiver.receive_messages(\n                max_message_count=10,\n                max_wait_time=5  # seconds\n            )\n            \n            for msg in messages:\n                print(f\"Received: {str(msg)}\")\n                await receiver.complete_message(msg)  # Remove from queue\n\nasyncio.run(receive_messages())\n```\n\n## Receive Modes\n\n| Mode | Behavior | Use Case |\n|------|----------|----------|\n| `PEEK_LOCK` (default) | Message locked, must complete\u002Fabandon | Reliable processing |\n| `RECEIVE_AND_DELETE` | Removed immediately on receive | At-most-once delivery |\n\n```python\nfrom azure.servicebus import ServiceBusReceiveMode\n\nreceiver = client.get_queue_receiver(\n    queue_name=\"myqueue\",\n    receive_mode=ServiceBusReceiveMode.RECEIVE_AND_DELETE\n)\n```\n\n## Message Settlement\n\n```python\nasync with receiver:\n    messages = await receiver.receive_messages(max_message_count=1)\n    \n    for msg in messages:\n        try:\n            # Process message...\n            await receiver.complete_message(msg)  # Success - remove from queue\n        except ProcessingError:\n            await receiver.abandon_message(msg)  # Retry later\n        except PermanentError:\n            await receiver.dead_letter_message(\n                msg,\n                reason=\"ProcessingFailed\",\n                error_description=\"Could not process\"\n            )\n```\n\n| Action | Effect |\n|--------|--------|\n| `complete_message()` | Remove from queue (success) |\n| `abandon_message()` | Release lock, retry immediately |\n| `dead_letter_message()` | Move to dead-letter queue |\n| `defer_message()` | Set aside, receive by sequence number |\n\n## Topics and Subscriptions\n\n```python\n# Send to topic\nsender = client.get_topic_sender(topic_name=\"mytopic\")\nasync with sender:\n    await sender.send_messages(ServiceBusMessage(\"Topic message\"))\n\n# Receive from subscription\nreceiver = client.get_subscription_receiver(\n    topic_name=\"mytopic\",\n    subscription_name=\"mysubscription\"\n)\nasync with receiver:\n    messages = await receiver.receive_messages(max_message_count=10)\n```\n\n## Sessions (FIFO)\n\n```python\n# Send with session\nmessage = ServiceBusMessage(\"Session message\")\nmessage.session_id = \"order-123\"\nawait sender.send_messages(message)\n\n# Receive from specific session\nreceiver = client.get_queue_receiver(\n    queue_name=\"session-queue\",\n    session_id=\"order-123\"\n)\n\n# Receive from next available session\nfrom azure.servicebus import NEXT_AVAILABLE_SESSION\nreceiver = client.get_queue_receiver(\n    queue_name=\"session-queue\",\n    session_id=NEXT_AVAILABLE_SESSION\n)\n```\n\n## Scheduled Messages\n\n```python\nfrom datetime import datetime, timedelta, timezone\n\nmessage = ServiceBusMessage(\"Scheduled message\")\nscheduled_time = datetime.now(timezone.utc) + timedelta(minutes=10)\n\n# Schedule message\nsequence_number = await sender.schedule_messages(message, scheduled_time)\n\n# Cancel scheduled message\nawait sender.cancel_scheduled_messages(sequence_number)\n```\n\n## Dead-Letter Queue\n\n```python\nfrom azure.servicebus import ServiceBusSubQueue\n\n# Receive from dead-letter queue\ndlq_receiver = client.get_queue_receiver(\n    queue_name=\"myqueue\",\n    sub_queue=ServiceBusSubQueue.DEAD_LETTER\n)\n\nasync with dlq_receiver:\n    messages = await dlq_receiver.receive_messages(max_message_count=10)\n    for msg in messages:\n        print(f\"Dead-lettered: {msg.dead_letter_reason}\")\n        await dlq_receiver.complete_message(msg)\n```\n\n## Sync Client (for simple scripts)\n\n```python\nfrom azure.servicebus import ServiceBusClient, ServiceBusMessage\nfrom azure.identity import DefaultAzureCredential\n\nwith ServiceBusClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    credential=DefaultAzureCredential()\n) as client:\n    with client.get_queue_sender(\"myqueue\") as sender:\n        sender.send_messages(ServiceBusMessage(\"Sync message\"))\n    \n    with client.get_queue_receiver(\"myqueue\") as receiver:\n        for msg in receiver:\n            print(str(msg))\n            receiver.complete_message(msg)\n```\n\n## Best Practices\n\n1. **Pick sync OR async and stay consistent.** Do not mix `azure.xxx` sync clients with `azure.xxx.aio` async clients in the same call path. Choose one mode per module.\n2. **Always use context managers for clients and async credentials.** Wrap every client in `with Client(...) as client:` (sync) or `async with Client(...) as client:` (async) for proper cleanup. For async `DefaultAzureCredential` from `azure.identity.aio`, also use `async with credential:` so tokens and transports are cleaned up.\n3. **Use `DefaultAzureCredential`** for portable auth across local dev and Azure (avoid connection strings \u002F API keys when possible).\n4. **Use async client** for production workloads\n5. **Complete messages** after successful processing\n6. **Use dead-letter queue** for poison messages\n7. **Use sessions** for ordered, FIFO processing\n8. **Use message batches** for high-throughput scenarios\n9. **Set `max_wait_time`** to avoid infinite blocking\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fpatterns.md](references\u002Fpatterns.md) | Competing consumers, sessions, retry patterns, request-response, transactions |\n| [references\u002Fdead-letter.md](references\u002Fdead-letter.md) | DLQ handling, poison messages, reprocessing strategies |\n| [scripts\u002Fsetup_servicebus.py](scripts\u002Fsetup_servicebus.py) | CLI for queue\u002Ftopic\u002Fsubscription management and DLQ monitoring |\n",{"name":5,"license":15,"metadata":42,"description":45},{"author":12,"package":43,"version":44},"azure-servicebus","1.0.0","Azure Service Bus SDK for Python messaging. 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Use when creating new skills or updating existing skills.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fskill-creator\u002FSKILL.md",[93],{"categoryNo":94,"categoryName":95,"taxonomyType":96,"taxonomyTypeDesc":97},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[99,100,101,9,102,103,104,19,105,106,107,33,108,109,110,24,111,112,113],"skill creator","creator","coding agents","foundry","microsoft foundry","ai coding agents","services","coding","guide","ai coding","with","sdks","Existing","when","new",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":130,"publishedAt":37},"01M69B4FD57V1MYKRWAJJECTZ7","podcast-generation","Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fpodcast-generation\u002FSKILL.md",[120,123,126,129],{"categoryNo":121,"categoryName":122,"taxonomyType":96,"taxonomyTypeDesc":97},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":124,"categoryName":125,"taxonomyType":96,"taxonomyTypeDesc":97},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":127,"categoryName":128,"taxonomyType":96,"taxonomyTypeDesc":97},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":94,"categoryName":95,"taxonomyType":96,"taxonomyTypeDesc":97},[131,132,133,134,31,135,136,19,137,138,139,140,141,142,143,144,145,146,147,148,149,112,150],"podcast generation","podcast","generation","frontend","react","realtime","azure openai","generate","streaming","api","Audio","stack","text","model","fastapi","creation","python fastapi","narrative","features","fastapi backend",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":158,"publishedAt":37},"01M69B4CYPM5SESY5ZWEFDXEQZ","microsoft-docs","Understand Microsoft technologies by querying official documentation. Use whenever the user asks how something works, wants tutorials, needs configuration options, limits, quotas, or best practices for any Microsoft technology (Azure, .NET, M365, Windows, Power Platform, etc.)—even if they don't mention \"docs.\" If the question is about understanding a concept rather than writing code, this is the right skill.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fmicrosoft-docs\u002FSKILL.md",[157],{"categoryNo":94,"categoryName":95,"taxonomyType":96,"taxonomyTypeDesc":97},[159,9,160,161,162,163,164,165,166,167,168,19,169,170,171,33,172,59,173,174,175,176,177,24],"docs","microsoft docs","MCP","writing","cli","mcp server","windows","power platform","official","documentation","learn","best practices","question","power","back","technology","platform","learn mcp","concept",{"skillNo":179,"name":180,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":185,"publishedAt":37},"01M69B49C3YPD1ZJ3NC0HPCY58","mcp-builder","Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node\u002FTypeScript (MCP SDK), or C#\u002F.NET (Microsoft MCP SDK).","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fmcp-builder\u002FSKILL.md",[184],{"categoryNo":94,"categoryName":95,"taxonomyType":96,"taxonomyTypeDesc":97},[161,186,187,188,31,189,36,190,9,191,192,144,193,194,107,33,195,196,197,109,24,112],"mcp builder","builder","typescript","llms","model context protocol","fastmcp","Tools","node","context","integrate","mcp sdk","building mcp servers",{"skillNo":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":202,"categories":203,"keywords":216,"publishedAt":37},"01M69B467A7CDMFQ0T6Q0ZA12Q","kql","KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL, Kusto, ADX, Azure Data Explorer, Fabric Real-Time Intelligence, EventHouse, Log Analytics, log analysis, data exploration, time series, anomaly detection, summarize, where clause, join, extend, project, let statement, parse operator, extract function, any mention of pipe-forward query syntax.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fkql\u002FSKILL.md",[204,207,208,213],{"categoryNo":205,"categoryName":206,"taxonomyType":96,"taxonomyTypeDesc":97},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":94,"categoryName":95,"taxonomyType":96,"taxonomyTypeDesc":97},{"categoryNo":209,"categoryName":210,"taxonomyType":211,"taxonomyTypeDesc":212},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",{"categoryNo":214,"categoryName":215,"taxonomyType":211,"taxonomyTypeDesc":212},"01JBSEEDCAT000000000000036","内容创作者",[200,162,217,218,219,19,220,221,222,223,224,225,226,227,228,229,230,231,232,24,233,234,235],"summarize","memory","analytics","vector","time series","tool","discipline","log","geo","exploration","pipe","time","project","regex","join","datetime","section","anomaly","parse",{"skillNo":237,"name":238,"nameZh":6,"description":239,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":240,"categories":241,"keywords":242,"publishedAt":37},"01M69B44HJQ7897EZ7NE7DWQX3","github-issue-creator","Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images\u002FGIFs for visual evidence.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fgithub-issue-creator\u002FSKILL.md",[],[243,244,245,246,100,247,248,249,250,251,252,253,33,254,255,256,257,258,259,24,112],"github","github issue creator","github issue","issue","issue creator","screenshots","notes","logs","error messages","messages","convert","evidence","reports","images","info","visual","error"]