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Use for high-throughput event ingestion, producers, consumers, and checkpointing.\nTriggers: \"event hubs\", \"EventHubProducerClient\", \"EventHubConsumerClient\", \"streaming\", \"partitions\".","microsoft\u002Fskills","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M69AJYYW4E1RMSYCQDJ4FJSH",3195,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fplugins\u002Fazure-sdk-python\u002Fskills\u002Fazure-eventhub-py\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,9,34],"azure","azure eventhub py","partitions","checkpointing","for","high","event","throughput","azure event hubs","high-throughput","triggers","python","ingestion","use","streaming","sdk","2026-11-10 10:12:30",false,"---\nname: azure-eventhub-py\ndescription: |\n  Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing.\n  Triggers: \"event hubs\", \"EventHubProducerClient\", \"EventHubConsumerClient\", \"streaming\", \"partitions\".\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: azure-eventhub\n---\n\n# Azure Event Hubs SDK for Python\n\nBig data streaming platform for high-throughput event ingestion.\n\n## Installation\n\n```bash\npip install azure-eventhub azure-identity\n# For checkpointing with blob storage\npip install azure-eventhub-checkpointstoreblob-aio\n```\n\n## Environment Variables\n\n```bash\nEVENT_HUB_FULLY_QUALIFIED_NAMESPACE=\u003Cnamespace>.servicebus.windows.net  # Required for all auth methods\nEVENT_HUB_NAME=my-eventhub  # Required for all auth methods\nSTORAGE_ACCOUNT_URL=https:\u002F\u002F\u003Caccount>.blob.core.windows.net  # Required for checkpoint storage\nCHECKPOINT_CONTAINER=checkpoints  # Required for checkpoint storage\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.eventhub import EventHubProducerClient, EventHubConsumerClient\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\"\neventhub_name = \"my-eventhub\"\n\n# Producer\nwith EventHubProducerClient(\n    fully_qualified_namespace=namespace,\n    eventhub_name=eventhub_name,\n    credential=credential\n) as producer:\n    # Use producer here (see following sections for operations)\n    ...\n\n# Consumer\nwith EventHubConsumerClient(\n    fully_qualified_namespace=namespace,\n    eventhub_name=eventhub_name,\n    consumer_group=\"$Default\",\n    credential=credential\n) as consumer:\n    # Use consumer here (see following sections for operations)\n    ...\n```\n\n## Client Types\n\n| Client | Purpose |\n|--------|---------|\n| `EventHubProducerClient` | Send events to Event Hub |\n| `EventHubConsumerClient` | Receive events from Event Hub |\n| `BlobCheckpointStore` | Track consumer progress |\n\n## Send Events\n\n```python\nfrom azure.eventhub import EventHubProducerClient, EventData\nfrom azure.identity import DefaultAzureCredential\n\nwith EventHubProducerClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    eventhub_name=\"my-eventhub\",\n    credential=DefaultAzureCredential()\n) as producer:\n    # Create batch (handles size limits)\n    event_data_batch = producer.create_batch()\n    \n    for i in range(10):\n        try:\n            event_data_batch.add(EventData(f\"Event {i}\"))\n        except ValueError:\n            # Batch is full, send and create new one\n            producer.send_batch(event_data_batch)\n            event_data_batch = producer.create_batch()\n            event_data_batch.add(EventData(f\"Event {i}\"))\n    \n    # Send remaining\n    producer.send_batch(event_data_batch)\n```\n\n### Send to Specific Partition\n\n```python\n# By partition ID\nevent_data_batch = producer.create_batch(partition_id=\"0\")\n\n# By partition key (consistent hashing)\nevent_data_batch = producer.create_batch(partition_key=\"user-123\")\n```\n\n## Receive Events\n\n### Simple Receive\n\n```python\nfrom azure.eventhub import EventHubConsumerClient\n\ndef on_event(partition_context, event):\n    print(f\"Partition: {partition_context.partition_id}\")\n    print(f\"Data: {event.body_as_str()}\")\n    partition_context.update_checkpoint(event)\n\nwith EventHubConsumerClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    eventhub_name=\"my-eventhub\",\n    consumer_group=\"$Default\",\n    credential=DefaultAzureCredential()\n) as consumer:\n    consumer.receive(\n        on_event=on_event,\n        starting_position=\"-1\",  # Beginning of stream\n    )\n```\n\n### With Blob Checkpoint Store (Production)\n\n```python\nfrom azure.eventhub import EventHubConsumerClient\nfrom azure.eventhub.extensions.checkpointstoreblob import BlobCheckpointStore\nfrom azure.identity import DefaultAzureCredential\n\ncheckpoint_store = BlobCheckpointStore(\n    blob_account_url=\"https:\u002F\u002F\u003Caccount>.blob.core.windows.net\",\n    container_name=\"checkpoints\",\n    credential=DefaultAzureCredential()\n)\n\nwith EventHubConsumerClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    eventhub_name=\"my-eventhub\",\n    consumer_group=\"$Default\",\n    credential=DefaultAzureCredential(),\n    checkpoint_store=checkpoint_store\n) as consumer:\n    def on_event(partition_context, event):\n        print(f\"Received: {event.body_as_str()}\")\n        # Checkpoint after processing\n        partition_context.update_checkpoint(event)\n\n    consumer.receive(on_event=on_event)\n```\n\n## Async Client\n\n```python\nfrom azure.eventhub.aio import EventHubProducerClient, EventHubConsumerClient\nfrom azure.identity.aio import DefaultAzureCredential\nimport asyncio\n\nasync def send_events():\n    credential = DefaultAzureCredential()\n    \n    async with EventHubProducerClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        eventhub_name=\"my-eventhub\",\n        credential=credential\n    ) as producer:\n        batch = await producer.create_batch()\n        batch.add(EventData(\"Async event\"))\n        await producer.send_batch(batch)\n\nasync def receive_events():\n    async def on_event(partition_context, event):\n        print(event.body_as_str())\n        await partition_context.update_checkpoint(event)\n    \n    async with EventHubConsumerClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        eventhub_name=\"my-eventhub\",\n        consumer_group=\"$Default\",\n        credential=DefaultAzureCredential()\n    ) as consumer:\n        await consumer.receive(on_event=on_event)\n\nasyncio.run(send_events())\n```\n\n## Event Properties\n\n```python\nevent = EventData(\"My event body\")\n\n# Set properties\nevent.properties = {\"custom_property\": \"value\"}\nevent.content_type = \"application\u002Fjson\"\n\n# Read properties (on receive)\nprint(event.body_as_str())\nprint(event.sequence_number)\nprint(event.offset)\nprint(event.enqueued_time)\nprint(event.partition_key)\n```\n\n## Get Event Hub Info\n\n```python\nwith producer:\n    info = producer.get_eventhub_properties()\n    print(f\"Name: {info['name']}\")\n    print(f\"Partitions: {info['partition_ids']}\")\n    \n    for partition_id in info['partition_ids']:\n        partition_info = producer.get_partition_properties(partition_id)\n        print(f\"Partition {partition_id}: {partition_info['last_enqueued_sequence_number']}\")\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 batches** for sending multiple events\n5. **Use checkpoint store** in production for reliable processing\n6. **Use async client** for high-throughput scenarios\n7. **Use partition keys** for ordered delivery within a partition\n8. **Handle batch size limits** — catch ValueError when batch is full\n9. **Set appropriate consumer groups** for different applications\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fcheckpointing.md](references\u002Fcheckpointing.md) | Checkpoint store patterns, blob checkpointing, checkpoint strategies |\n| [references\u002Fpartitions.md](references\u002Fpartitions.md) | Partition management, load balancing, starting positions |\n| [scripts\u002Fsetup_consumer.py](scripts\u002Fsetup_consumer.py) | CLI for Event Hub info, consumer setup, and event sending\u002Freceiving |\n","# Azure Event Hubs SDK for Python\n\nBig data streaming platform for high-throughput event ingestion.\n\n## Installation\n\n```bash\npip install azure-eventhub azure-identity\n# For checkpointing with blob storage\npip install azure-eventhub-checkpointstoreblob-aio\n```\n\n## Environment Variables\n\n```bash\nEVENT_HUB_FULLY_QUALIFIED_NAMESPACE=\u003Cnamespace>.servicebus.windows.net  # Required for all auth methods\nEVENT_HUB_NAME=my-eventhub  # Required for all auth methods\nSTORAGE_ACCOUNT_URL=https:\u002F\u002F\u003Caccount>.blob.core.windows.net  # Required for checkpoint storage\nCHECKPOINT_CONTAINER=checkpoints  # Required for checkpoint storage\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.eventhub import EventHubProducerClient, EventHubConsumerClient\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\"\neventhub_name = \"my-eventhub\"\n\n# Producer\nwith EventHubProducerClient(\n    fully_qualified_namespace=namespace,\n    eventhub_name=eventhub_name,\n    credential=credential\n) as producer:\n    # Use producer here (see following sections for operations)\n    ...\n\n# Consumer\nwith EventHubConsumerClient(\n    fully_qualified_namespace=namespace,\n    eventhub_name=eventhub_name,\n    consumer_group=\"$Default\",\n    credential=credential\n) as consumer:\n    # Use consumer here (see following sections for operations)\n    ...\n```\n\n## Client Types\n\n| Client | Purpose |\n|--------|---------|\n| `EventHubProducerClient` | Send events to Event Hub |\n| `EventHubConsumerClient` | Receive events from Event Hub |\n| `BlobCheckpointStore` | Track consumer progress |\n\n## Send Events\n\n```python\nfrom azure.eventhub import EventHubProducerClient, EventData\nfrom azure.identity import DefaultAzureCredential\n\nwith EventHubProducerClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    eventhub_name=\"my-eventhub\",\n    credential=DefaultAzureCredential()\n) as producer:\n    # Create batch (handles size limits)\n    event_data_batch = producer.create_batch()\n    \n    for i in range(10):\n        try:\n            event_data_batch.add(EventData(f\"Event {i}\"))\n        except ValueError:\n            # Batch is full, send and create new one\n            producer.send_batch(event_data_batch)\n            event_data_batch = producer.create_batch()\n            event_data_batch.add(EventData(f\"Event {i}\"))\n    \n    # Send remaining\n    producer.send_batch(event_data_batch)\n```\n\n### Send to Specific Partition\n\n```python\n# By partition ID\nevent_data_batch = producer.create_batch(partition_id=\"0\")\n\n# By partition key (consistent hashing)\nevent_data_batch = producer.create_batch(partition_key=\"user-123\")\n```\n\n## Receive Events\n\n### Simple Receive\n\n```python\nfrom azure.eventhub import EventHubConsumerClient\n\ndef on_event(partition_context, event):\n    print(f\"Partition: {partition_context.partition_id}\")\n    print(f\"Data: {event.body_as_str()}\")\n    partition_context.update_checkpoint(event)\n\nwith EventHubConsumerClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    eventhub_name=\"my-eventhub\",\n    consumer_group=\"$Default\",\n    credential=DefaultAzureCredential()\n) as consumer:\n    consumer.receive(\n        on_event=on_event,\n        starting_position=\"-1\",  # Beginning of stream\n    )\n```\n\n### With Blob Checkpoint Store (Production)\n\n```python\nfrom azure.eventhub import EventHubConsumerClient\nfrom azure.eventhub.extensions.checkpointstoreblob import BlobCheckpointStore\nfrom azure.identity import DefaultAzureCredential\n\ncheckpoint_store = BlobCheckpointStore(\n    blob_account_url=\"https:\u002F\u002F\u003Caccount>.blob.core.windows.net\",\n    container_name=\"checkpoints\",\n    credential=DefaultAzureCredential()\n)\n\nwith EventHubConsumerClient(\n    fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n    eventhub_name=\"my-eventhub\",\n    consumer_group=\"$Default\",\n    credential=DefaultAzureCredential(),\n    checkpoint_store=checkpoint_store\n) as consumer:\n    def on_event(partition_context, event):\n        print(f\"Received: {event.body_as_str()}\")\n        # Checkpoint after processing\n        partition_context.update_checkpoint(event)\n\n    consumer.receive(on_event=on_event)\n```\n\n## Async Client\n\n```python\nfrom azure.eventhub.aio import EventHubProducerClient, EventHubConsumerClient\nfrom azure.identity.aio import DefaultAzureCredential\nimport asyncio\n\nasync def send_events():\n    credential = DefaultAzureCredential()\n    \n    async with EventHubProducerClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        eventhub_name=\"my-eventhub\",\n        credential=credential\n    ) as producer:\n        batch = await producer.create_batch()\n        batch.add(EventData(\"Async event\"))\n        await producer.send_batch(batch)\n\nasync def receive_events():\n    async def on_event(partition_context, event):\n        print(event.body_as_str())\n        await partition_context.update_checkpoint(event)\n    \n    async with EventHubConsumerClient(\n        fully_qualified_namespace=\"\u003Cnamespace>.servicebus.windows.net\",\n        eventhub_name=\"my-eventhub\",\n        consumer_group=\"$Default\",\n        credential=DefaultAzureCredential()\n    ) as consumer:\n        await consumer.receive(on_event=on_event)\n\nasyncio.run(send_events())\n```\n\n## Event Properties\n\n```python\nevent = EventData(\"My event body\")\n\n# Set properties\nevent.properties = {\"custom_property\": \"value\"}\nevent.content_type = \"application\u002Fjson\"\n\n# Read properties (on receive)\nprint(event.body_as_str())\nprint(event.sequence_number)\nprint(event.offset)\nprint(event.enqueued_time)\nprint(event.partition_key)\n```\n\n## Get Event Hub Info\n\n```python\nwith producer:\n    info = producer.get_eventhub_properties()\n    print(f\"Name: {info['name']}\")\n    print(f\"Partitions: {info['partition_ids']}\")\n    \n    for partition_id in info['partition_ids']:\n        partition_info = producer.get_partition_properties(partition_id)\n        print(f\"Partition {partition_id}: {partition_info['last_enqueued_sequence_number']}\")\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 batches** for sending multiple events\n5. **Use checkpoint store** in production for reliable processing\n6. **Use async client** for high-throughput scenarios\n7. **Use partition keys** for ordered delivery within a partition\n8. **Handle batch size limits** — catch ValueError when batch is full\n9. **Set appropriate consumer groups** for different applications\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fcheckpointing.md](references\u002Fcheckpointing.md) | Checkpoint store patterns, blob checkpointing, checkpoint strategies |\n| [references\u002Fpartitions.md](references\u002Fpartitions.md) | Partition management, load balancing, starting positions |\n| [scripts\u002Fsetup_consumer.py](scripts\u002Fsetup_consumer.py) | CLI for Event Hub info, consumer setup, and event sending\u002Freceiving |\n",{"name":5,"license":15,"metadata":40,"description":43},{"author":12,"package":41,"version":42},"azure-eventhub","1.0.0","Azure Event Hubs SDK for Python streaming. 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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",[91],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[97,98,99,9,100,101,102,19,103,104,105,32,106,107,108,23,109,110,111],"skill creator","creator","coding agents","foundry","microsoft foundry","ai coding agents","services","coding","guide","ai coding","with","sdks","Existing","when","new",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":128,"publishedAt":35},"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",[118,121,124,127],{"categoryNo":119,"categoryName":120,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":122,"categoryName":123,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":125,"categoryName":126,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},[129,130,131,132,30,133,134,19,135,136,33,137,138,139,140,141,142,143,144,145,146,110,147],"podcast generation","podcast","generation","frontend","react","realtime","azure openai","generate","api","Audio","stack","text","model","fastapi","creation","python fastapi","narrative","features","fastapi backend",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":155,"publishedAt":35},"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",[154],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},[156,9,157,158,159,160,161,162,163,164,165,19,166,167,168,32,169,57,170,171,172,173,174,23],"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":176,"name":177,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":182,"publishedAt":35},"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",[181],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},[158,183,184,185,30,186,34,187,9,188,189,141,190,191,105,32,192,193,194,107,23,110],"mcp builder","builder","typescript","llms","model context protocol","fastmcp","Tools","node","context","integrate","mcp sdk","building mcp servers",{"skillNo":196,"name":197,"nameZh":6,"description":198,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":199,"categories":200,"keywords":213,"publishedAt":35},"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",[201,204,205,210],{"categoryNo":202,"categoryName":203,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":206,"categoryName":207,"taxonomyType":208,"taxonomyTypeDesc":209},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",{"categoryNo":211,"categoryName":212,"taxonomyType":208,"taxonomyTypeDesc":209},"01JBSEEDCAT000000000000036","内容创作者",[197,159,214,215,216,19,217,218,219,220,221,222,223,224,225,226,227,228,229,23,230,231,232],"summarize","memory","analytics","vector","time series","tool","discipline","log","geo","exploration","pipe","time","project","regex","join","datetime","section","anomaly","parse",{"skillNo":234,"name":235,"nameZh":6,"description":236,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":237,"categories":238,"keywords":239,"publishedAt":35},"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",[],[240,241,242,243,98,244,245,246,247,248,249,250,32,251,252,253,254,255,256,23,110],"github","github issue creator","github issue","issue","issue creator","screenshots","notes","logs","error messages","messages","convert","evidence","reports","images","info","visual","error"]