[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M69ATFGYCXCA9F33TERB1R5R":3,"skill-same:01M69ATFGYCXCA9F33TERB1R5R":90},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":49,"ownerHtmlUrl":50,"ownerBlogUrl":51,"ownerDescription":52,"updatedAt":53,"install":54,"resources":67},"01M69ATFGYCXCA9F33TERB1R5R","azure-storage-queue-py",null,"Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.\nTriggers: \"queue storage\", \"QueueServiceClient\", \"QueueClient\", \"message queue\", \"dequeue\".","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-storage-queue-py\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,9,34],"storage","azure storage","azure","azure storage queue py","queue","use","for","azure queue storage","processing","triggers","distribution","message","task","python","asynchronous","sdk","2026-11-10 10:12:30",false,"---\nname: azure-storage-queue-py\ndescription: |\n  Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.\n  Triggers: \"queue storage\", \"QueueServiceClient\", \"QueueClient\", \"message queue\", \"dequeue\".\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: azure-storage-queue\n---\n\n# Azure Queue Storage SDK for Python\n\nSimple, cost-effective message queuing for asynchronous communication.\n\n## Installation\n\n```bash\npip install azure-storage-queue azure-identity\n```\n\n## Environment Variables\n\n```bash\nAZURE_STORAGE_ACCOUNT_URL=https:\u002F\u002F\u003Caccount>.queue.core.windows.net  # Required for all auth methods\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.storage.queue import QueueServiceClient, QueueClient\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()\naccount_url = \"https:\u002F\u002F\u003Caccount>.queue.core.windows.net\"\n\n# Service client\nwith QueueServiceClient(account_url=account_url, credential=credential) as service_client:\n    # Use service_client here (see following sections for operations)\n    ...\n\n# Queue client\nwith QueueClient(account_url=account_url, queue_name=\"myqueue\", credential=credential) as queue_client:\n    # Use queue_client here (see following sections for operations)\n    ...\n```\n\n## Queue Operations\n\n```python\n# Create queue\nservice_client.create_queue(\"myqueue\")\n\n# Get queue client\nqueue_client = service_client.get_queue_client(\"myqueue\")\n\n# Delete queue\nservice_client.delete_queue(\"myqueue\")\n\n# List queues\nfor queue in service_client.list_queues():\n    print(queue.name)\n```\n\n## Send Messages\n\n```python\n# Send message (string)\nqueue_client.send_message(\"Hello, Queue!\")\n\n# Send with options\nqueue_client.send_message(\n    content=\"Delayed message\",\n    visibility_timeout=60,  # Hidden for 60 seconds\n    time_to_live=3600       # Expires in 1 hour\n)\n\n# Send JSON\nimport json\ndata = {\"task\": \"process\", \"id\": 123}\nqueue_client.send_message(json.dumps(data))\n```\n\n## Receive Messages\n\n```python\n# Receive messages (makes them invisible temporarily)\nmessages = queue_client.receive_messages(\n    messages_per_page=10,\n    visibility_timeout=30  # 30 seconds to process\n)\n\nfor message in messages:\n    print(f\"ID: {message.id}\")\n    print(f\"Content: {message.content}\")\n    print(f\"Dequeue count: {message.dequeue_count}\")\n    \n    # Process message...\n    \n    # Delete after processing\n    queue_client.delete_message(message)\n```\n\n## Peek Messages\n\n```python\n# Peek without hiding (doesn't affect visibility)\nmessages = queue_client.peek_messages(max_messages=5)\n\nfor message in messages:\n    print(message.content)\n```\n\n## Update Message\n\n```python\n# Extend visibility or update content\nmessages = queue_client.receive_messages()\nfor message in messages:\n    # Extend timeout (need more time)\n    queue_client.update_message(\n        message,\n        visibility_timeout=60\n    )\n    \n    # Update content and timeout\n    queue_client.update_message(\n        message,\n        content=\"Updated content\",\n        visibility_timeout=60\n    )\n```\n\n## Delete Message\n\n```python\n# Delete after successful processing\nmessages = queue_client.receive_messages()\nfor message in messages:\n    try:\n        # Process...\n        queue_client.delete_message(message)\n    except Exception:\n        # Message becomes visible again after timeout\n        pass\n```\n\n## Clear Queue\n\n```python\n# Delete all messages\nqueue_client.clear_messages()\n```\n\n## Queue Properties\n\n```python\n# Get queue properties\nproperties = queue_client.get_queue_properties()\nprint(f\"Approximate message count: {properties.approximate_message_count}\")\n\n# Set\u002Fget metadata\nqueue_client.set_queue_metadata(metadata={\"environment\": \"production\"})\nproperties = queue_client.get_queue_properties()\nprint(properties.metadata)\n```\n\n## Async Client\n\n```python\nfrom azure.storage.queue.aio import QueueServiceClient, QueueClient\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def queue_operations():\n    credential = DefaultAzureCredential()\n    \n    async with QueueClient(\n        account_url=\"https:\u002F\u002F\u003Caccount>.queue.core.windows.net\",\n        queue_name=\"myqueue\",\n        credential=credential\n    ) as client:\n        # Send\n        await client.send_message(\"Async message\")\n        \n        # Receive\n        async for message in client.receive_messages():\n            print(message.content)\n            await client.delete_message(message)\n\nimport asyncio\nasyncio.run(queue_operations())\n```\n\n## Base64 Encoding\n\n```python\nfrom azure.storage.queue import QueueClient, BinaryBase64EncodePolicy, BinaryBase64DecodePolicy\n\n# For binary data\nwith QueueClient(\n    account_url=account_url,\n    queue_name=\"myqueue\",\n    credential=credential,\n    message_encode_policy=BinaryBase64EncodePolicy(),\n    message_decode_policy=BinaryBase64DecodePolicy()\n) as queue_client:\n    # Send bytes\n    queue_client.send_message(b\"Binary content\")\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 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. **Delete messages after processing** to prevent reprocessing\n5. **Set appropriate visibility timeout** based on processing time\n6. **Handle `dequeue_count`** for poison message detection\n7. **Use async client** for high-throughput scenarios\n8. **Use `peek_messages`** for monitoring without affecting queue\n9. **Set `time_to_live`** to prevent stale messages\n10. **Consider Service Bus** for advanced features (sessions, topics)\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fcapabilities.md](references\u002Fcapabilities.md) | Additional non-hero capabilities, operation-group coverage, and production checklists. |\n| [references\u002Fnon-hero-scenarios.md](references\u002Fnon-hero-scenarios.md) | Dedicated non-hero examples for secondary\u002Fadvanced scenarios. |\n","# Azure Queue Storage SDK for Python\n\nSimple, cost-effective message queuing for asynchronous communication.\n\n## Installation\n\n```bash\npip install azure-storage-queue azure-identity\n```\n\n## Environment Variables\n\n```bash\nAZURE_STORAGE_ACCOUNT_URL=https:\u002F\u002F\u003Caccount>.queue.core.windows.net  # Required for all auth methods\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.storage.queue import QueueServiceClient, QueueClient\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()\naccount_url = \"https:\u002F\u002F\u003Caccount>.queue.core.windows.net\"\n\n# Service client\nwith QueueServiceClient(account_url=account_url, credential=credential) as service_client:\n    # Use service_client here (see following sections for operations)\n    ...\n\n# Queue client\nwith QueueClient(account_url=account_url, queue_name=\"myqueue\", credential=credential) as queue_client:\n    # Use queue_client here (see following sections for operations)\n    ...\n```\n\n## Queue Operations\n\n```python\n# Create queue\nservice_client.create_queue(\"myqueue\")\n\n# Get queue client\nqueue_client = service_client.get_queue_client(\"myqueue\")\n\n# Delete queue\nservice_client.delete_queue(\"myqueue\")\n\n# List queues\nfor queue in service_client.list_queues():\n    print(queue.name)\n```\n\n## Send Messages\n\n```python\n# Send message (string)\nqueue_client.send_message(\"Hello, Queue!\")\n\n# Send with options\nqueue_client.send_message(\n    content=\"Delayed message\",\n    visibility_timeout=60,  # Hidden for 60 seconds\n    time_to_live=3600       # Expires in 1 hour\n)\n\n# Send JSON\nimport json\ndata = {\"task\": \"process\", \"id\": 123}\nqueue_client.send_message(json.dumps(data))\n```\n\n## Receive Messages\n\n```python\n# Receive messages (makes them invisible temporarily)\nmessages = queue_client.receive_messages(\n    messages_per_page=10,\n    visibility_timeout=30  # 30 seconds to process\n)\n\nfor message in messages:\n    print(f\"ID: {message.id}\")\n    print(f\"Content: {message.content}\")\n    print(f\"Dequeue count: {message.dequeue_count}\")\n    \n    # Process message...\n    \n    # Delete after processing\n    queue_client.delete_message(message)\n```\n\n## Peek Messages\n\n```python\n# Peek without hiding (doesn't affect visibility)\nmessages = queue_client.peek_messages(max_messages=5)\n\nfor message in messages:\n    print(message.content)\n```\n\n## Update Message\n\n```python\n# Extend visibility or update content\nmessages = queue_client.receive_messages()\nfor message in messages:\n    # Extend timeout (need more time)\n    queue_client.update_message(\n        message,\n        visibility_timeout=60\n    )\n    \n    # Update content and timeout\n    queue_client.update_message(\n        message,\n        content=\"Updated content\",\n        visibility_timeout=60\n    )\n```\n\n## Delete Message\n\n```python\n# Delete after successful processing\nmessages = queue_client.receive_messages()\nfor message in messages:\n    try:\n        # Process...\n        queue_client.delete_message(message)\n    except Exception:\n        # Message becomes visible again after timeout\n        pass\n```\n\n## Clear Queue\n\n```python\n# Delete all messages\nqueue_client.clear_messages()\n```\n\n## Queue Properties\n\n```python\n# Get queue properties\nproperties = queue_client.get_queue_properties()\nprint(f\"Approximate message count: {properties.approximate_message_count}\")\n\n# Set\u002Fget metadata\nqueue_client.set_queue_metadata(metadata={\"environment\": \"production\"})\nproperties = queue_client.get_queue_properties()\nprint(properties.metadata)\n```\n\n## Async Client\n\n```python\nfrom azure.storage.queue.aio import QueueServiceClient, QueueClient\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def queue_operations():\n    credential = DefaultAzureCredential()\n    \n    async with QueueClient(\n        account_url=\"https:\u002F\u002F\u003Caccount>.queue.core.windows.net\",\n        queue_name=\"myqueue\",\n        credential=credential\n    ) as client:\n        # Send\n        await client.send_message(\"Async message\")\n        \n        # Receive\n        async for message in client.receive_messages():\n            print(message.content)\n            await client.delete_message(message)\n\nimport asyncio\nasyncio.run(queue_operations())\n```\n\n## Base64 Encoding\n\n```python\nfrom azure.storage.queue import QueueClient, BinaryBase64EncodePolicy, BinaryBase64DecodePolicy\n\n# For binary data\nwith QueueClient(\n    account_url=account_url,\n    queue_name=\"myqueue\",\n    credential=credential,\n    message_encode_policy=BinaryBase64EncodePolicy(),\n    message_decode_policy=BinaryBase64DecodePolicy()\n) as queue_client:\n    # Send bytes\n    queue_client.send_message(b\"Binary content\")\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 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. **Delete messages after processing** to prevent reprocessing\n5. **Set appropriate visibility timeout** based on processing time\n6. **Handle `dequeue_count`** for poison message detection\n7. **Use async client** for high-throughput scenarios\n8. **Use `peek_messages`** for monitoring without affecting queue\n9. **Set `time_to_live`** to prevent stale messages\n10. **Consider Service Bus** for advanced features (sessions, topics)\n\n## Reference Files\n\n| File | Contents |\n|------|----------|\n| [references\u002Fcapabilities.md](references\u002Fcapabilities.md) | Additional non-hero capabilities, operation-group coverage, and production checklists. |\n| [references\u002Fnon-hero-scenarios.md](references\u002Fnon-hero-scenarios.md) | Dedicated non-hero examples for secondary\u002Fadvanced scenarios. |\n",{"name":5,"license":15,"metadata":40,"description":43},{"author":12,"package":41,"version":42},"azure-storage-queue","1.0.0","Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.\nTriggers: \"queue storage\", \"QueueServiceClient\", \"QueueClient\", \"message queue\", \"dequeue\".\n","main","3f5b461b2314e01c400564051e92469114c5b68f",".github\u002Fplugins\u002Fazure-sdk-python\u002Fskills\u002Fazure-storage-queue-py",365,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","https:\u002F\u002Fmicrosoft.github.io\u002Fskills\u002F","https:\u002F\u002Fgithub.com\u002Fmicrosoft","https:\u002F\u002Fopensource.microsoft.com","Open source projects and samples from Microsoft","2026-11-12 02:02:58",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add microsoft\u002Fskills --skill azure-storage-queue-py",{"tool":60,"command":61},"bunx","bunx skills add microsoft\u002Fskills --skill azure-storage-queue-py",{"tool":63,"command":64},"pnpm","pnpm dlx skills add microsoft\u002Fskills --skill azure-storage-queue-py","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fplugins\u002Fazure-sdk-python\u002Fskills\u002Fazure-storage-queue-py\u002FSKILL.md",true,[68,74,78,82,86],{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"references\u002Fcapabilities.md","REFERENCE","参考文档",1861,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fplugins\u002Fazure-sdk-python\u002Fskills\u002Fazure-storage-queue-py\u002Freferences\u002Fcapabilities.md",{"path":75,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Fdax-core-reference.md",26595,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fawesome-rayfin\u002Fblob\u002Fmain\u002Ftemplates\u002Fcaldova-reorder\u002F.agents\u002Fskills\u002Fdax-authoring\u002Freferences\u002Fdax-core-reference.md",{"path":79,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fdax-query-patterns.md",8671,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fawesome-rayfin\u002Fblob\u002Fmain\u002Ftemplates\u002Fcaldova-reorder\u002F.agents\u002Fskills\u002Fdax-authoring\u002Freferences\u002Fdax-query-patterns.md",{"path":83,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":84,"sourceHtmlUrl":85},"references\u002Fdax-time-intelligence.md",9342,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fawesome-rayfin\u002Fblob\u002Fmain\u002Ftemplates\u002Fcaldova-reorder\u002F.agents\u002Fskills\u002Fdax-authoring\u002Freferences\u002Fdax-time-intelligence.md",{"path":87,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":88,"sourceHtmlUrl":89},"references\u002Fnon-hero-scenarios.md",2634,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fplugins\u002Fazure-sdk-python\u002Fskills\u002Fazure-storage-queue-py\u002Freferences\u002Fnon-hero-scenarios.md",[91,118,155,182,202,240],{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":102,"publishedAt":35},"01M69B4JCRQV5SPXAFCKXQRV0H","skill-creator","Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fskill-creator\u002FSKILL.md",[97],{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[103,104,105,9,106,107,108,21,109,110,111,24,112,113,114,25,115,116,117],"skill creator","creator","coding agents","foundry","microsoft foundry","ai coding agents","services","coding","guide","ai coding","with","sdks","Existing","when","new",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":134,"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",[124,127,130,133],{"categoryNo":125,"categoryName":126,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":128,"categoryName":129,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":131,"categoryName":132,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},[135,136,137,138,32,139,140,21,141,142,143,144,145,146,147,148,149,150,151,152,153,116,154],"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":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":162,"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",[161],{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},[163,9,164,165,166,167,168,169,170,171,172,21,173,174,175,24,176,57,177,178,179,180,181,25],"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":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":189,"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",[188],{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},[165,190,191,192,32,193,34,194,9,195,196,148,197,198,111,24,199,200,201,113,25,116],"mcp builder","builder","typescript","llms","model context protocol","fastmcp","Tools","node","context","integrate","mcp sdk","building mcp servers",{"skillNo":203,"name":204,"nameZh":6,"description":205,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":206,"categories":207,"keywords":220,"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",[208,211,212,217],{"categoryNo":209,"categoryName":210,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":213,"categoryName":214,"taxonomyType":215,"taxonomyTypeDesc":216},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",{"categoryNo":218,"categoryName":219,"taxonomyType":215,"taxonomyTypeDesc":216},"01JBSEEDCAT000000000000036","内容创作者",[204,166,221,222,223,21,224,225,226,227,228,229,230,231,232,233,234,235,236,25,237,238,239],"summarize","memory","analytics","vector","time series","tool","discipline","log","geo","exploration","pipe","time","project","regex","join","datetime","section","anomaly","parse",{"skillNo":241,"name":242,"nameZh":6,"description":243,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":244,"categories":245,"keywords":246,"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",[],[247,248,249,250,104,251,252,253,254,255,256,257,24,258,259,260,261,262,263,25,116],"github","github issue creator","github issue","issue","issue creator","screenshots","notes","logs","error messages","messages","convert","evidence","reports","images","info","visual","error"]