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Use for managing API inventory, metadata, and governance across your organization.\nTriggers: \"azure-mgmt-apicenter\", \"ApiCenterMgmtClient\", \"API Center\", \"API inventory\", \"API governance\".","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-mgmt-apicenter-py\u002FSKILL.md",[],[19,20,21,22,9,23,24,25,26,27,28,29,30,31,32,33],"azure","azure mgmt apicenter py","python","sdk","governance","metadata","inventory","api","management","use","organization","across","triggers","azure api center","for","2026-11-10 10:12:30",false,"---\nname: azure-mgmt-apicenter-py\ndescription: |\n  Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.\n  Triggers: \"azure-mgmt-apicenter\", \"ApiCenterMgmtClient\", \"API Center\", \"API inventory\", \"API governance\".\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: azure-mgmt-apicenter\n---\n\n# Azure API Center Management SDK for Python\n\nManage API inventory, metadata, and governance in Azure API Center.\n\n## Installation\n\n```bash\npip install azure-mgmt-apicenter\npip install azure-identity\n```\n\n## Environment Variables\n\n```bash\nAZURE_SUBSCRIPTION_ID=your-subscription-id  # 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.mgmt.apicenter import ApiCenterMgmtClient\nimport os\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()\n\nwith ApiCenterMgmtClient(\n    credential=credential,\n    subscription_id=os.environ[\"AZURE_SUBSCRIPTION_ID\"]\n) as client:\n    # Use `client` for all subsequent operations (see examples below)\n    ...\n```\n\n## Create API Center\n\n```python\nfrom azure.mgmt.apicenter.models import Service\n\napi_center = client.services.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    resource=Service(\n        location=\"eastus\",\n        tags={\"environment\": \"production\"}\n    )\n)\n\nprint(f\"Created API Center: {api_center.name}\")\n```\n\n## List API Centers\n\n```python\napi_centers = client.services.list_by_subscription()\n\nfor api_center in api_centers:\n    print(f\"{api_center.name} - {api_center.location}\")\n```\n\n## Register an API\n\n```python\nfrom azure.mgmt.apicenter.models import Api, ApiKind, ApiProperties\n\napi = client.apis.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    resource=Api(\n        properties=ApiProperties(\n            title=\"My API\",\n            description=\"A sample API for demonstration\",\n            kind=ApiKind.REST,\n            terms_of_service={\"url\": \"https:\u002F\u002Fexample.com\u002Fterms\"},\n            contacts=[{\"name\": \"API Team\", \"email\": \"api-team@example.com\"}],\n        )\n    ),\n)\n\nprint(f\"Registered API: {api.properties.title}\")\n```\n\n## Create API Version\n\n```python\nfrom azure.mgmt.apicenter.models import ApiVersion, ApiVersionProperties, LifecycleStage\n\nversion = client.api_versions.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    version_name=\"v1\",\n    resource=ApiVersion(\n        properties=ApiVersionProperties(\n            title=\"Version 1.0\",\n            lifecycle_stage=LifecycleStage.PRODUCTION,\n        )\n    ),\n)\n\nprint(f\"Created version: {version.properties.title}\")\n```\n\n## Add API Definition\n\n```python\nfrom azure.mgmt.apicenter.models import ApiDefinition, ApiDefinitionProperties\n\ndefinition = client.api_definitions.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    version_name=\"v1\",\n    definition_name=\"openapi\",\n    resource=ApiDefinition(\n        properties=ApiDefinitionProperties(\n            title=\"OpenAPI Definition\",\n            description=\"OpenAPI 3.0 specification\",\n        )\n    ),\n)\n```\n\n## Import API Specification\n\n```python\nfrom azure.mgmt.apicenter.models import ApiSpecImportRequest, ApiSpecImportSourceFormat\n\n# Import from inline content\nclient.api_definitions.begin_import_specification(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    version_name=\"v1\",\n    definition_name=\"openapi\",\n    body=ApiSpecImportRequest(\n        format=ApiSpecImportSourceFormat.INLINE,\n        value='{\"openapi\": \"3.0.0\", \"info\": {\"title\": \"My API\", \"version\": \"1.0\"}, \"paths\": {}}',\n    )\n).result()\n```\n\n## List APIs\n\n```python\napis = client.apis.list(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\"\n)\n\nfor api in apis:\n    print(f\"{api.name}: {api.title} ({api.kind})\")\n```\n\n## Create Environment\n\n```python\nfrom azure.mgmt.apicenter.models import Environment, EnvironmentKind, EnvironmentProperties\n\nenvironment = client.environments.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    environment_name=\"production\",\n    resource=Environment(\n        properties=EnvironmentProperties(\n            title=\"Production\",\n            description=\"Production environment\",\n            kind=EnvironmentKind.PRODUCTION,\n            server={\"type\": \"Azure API Management\", \"management_portal_uri\": [\"https:\u002F\u002Fportal.azure.com\"]},\n        )\n    ),\n)\n```\n\n## Create Deployment\n\n```python\nfrom azure.mgmt.apicenter.models import Deployment, DeploymentProperties, DeploymentState\n\ndeployment = client.deployments.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    deployment_name=\"prod-deployment\",\n    resource=Deployment(\n        properties=DeploymentProperties(\n            title=\"Production Deployment\",\n            description=\"Deployed to production APIM\",\n            environment_id=\"\u002Fworkspaces\u002Fdefault\u002Fenvironments\u002Fproduction\",\n            definition_id=\"\u002Fworkspaces\u002Fdefault\u002Fapis\u002Fmy-api\u002Fversions\u002Fv1\u002Fdefinitions\u002Fopenapi\",\n            state=DeploymentState.ACTIVE,\n            server={\"runtime_uri\": [\"https:\u002F\u002Fapi.example.com\"]},\n        )\n    ),\n)\n```\n\n## Define Custom Metadata\n\n```python\nfrom azure.mgmt.apicenter.models import MetadataSchema, MetadataSchemaProperties\n\nmetadata = client.metadata_schemas.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    metadata_schema_name=\"data-classification\",\n    resource=MetadataSchema(\n        properties=MetadataSchemaProperties(\n            schema='{\"type\": \"string\", \"title\": \"Data Classification\", \"enum\": [\"public\", \"internal\", \"confidential\"]}'\n        )\n    ),\n)\n```\n\n## Client Types\n\n| Client | Purpose |\n|--------|---------|\n| `ApiCenterMgmtClient` | Main client for all operations |\n\n## Operations\n\n| Operation Group | Purpose |\n|----------------|---------|\n| `services` | API Center service management |\n| `workspaces` | Workspace management |\n| `apis` | API registration and management |\n| `api_versions` | API version management |\n| `api_definitions` | API definition management |\n| `deployments` | Deployment tracking |\n| `environments` | Environment management |\n| `metadata_schemas` | Custom metadata definitions |\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 workspaces** to organize APIs by team or domain\n4. **Define metadata schemas** for consistent governance\n5. **Track deployments** to understand where APIs are running\n6. **Import specifications** to enable API analysis and linting\n7. **Use lifecycle stages** to track API maturity\n8. **Add contacts** for API ownership and support\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 API Center Management SDK for Python\n\nManage API inventory, metadata, and governance in Azure API Center.\n\n## Installation\n\n```bash\npip install azure-mgmt-apicenter\npip install azure-identity\n```\n\n## Environment Variables\n\n```bash\nAZURE_SUBSCRIPTION_ID=your-subscription-id  # 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.mgmt.apicenter import ApiCenterMgmtClient\nimport os\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()\n\nwith ApiCenterMgmtClient(\n    credential=credential,\n    subscription_id=os.environ[\"AZURE_SUBSCRIPTION_ID\"]\n) as client:\n    # Use `client` for all subsequent operations (see examples below)\n    ...\n```\n\n## Create API Center\n\n```python\nfrom azure.mgmt.apicenter.models import Service\n\napi_center = client.services.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    resource=Service(\n        location=\"eastus\",\n        tags={\"environment\": \"production\"}\n    )\n)\n\nprint(f\"Created API Center: {api_center.name}\")\n```\n\n## List API Centers\n\n```python\napi_centers = client.services.list_by_subscription()\n\nfor api_center in api_centers:\n    print(f\"{api_center.name} - {api_center.location}\")\n```\n\n## Register an API\n\n```python\nfrom azure.mgmt.apicenter.models import Api, ApiKind, ApiProperties\n\napi = client.apis.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    resource=Api(\n        properties=ApiProperties(\n            title=\"My API\",\n            description=\"A sample API for demonstration\",\n            kind=ApiKind.REST,\n            terms_of_service={\"url\": \"https:\u002F\u002Fexample.com\u002Fterms\"},\n            contacts=[{\"name\": \"API Team\", \"email\": \"api-team@example.com\"}],\n        )\n    ),\n)\n\nprint(f\"Registered API: {api.properties.title}\")\n```\n\n## Create API Version\n\n```python\nfrom azure.mgmt.apicenter.models import ApiVersion, ApiVersionProperties, LifecycleStage\n\nversion = client.api_versions.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    version_name=\"v1\",\n    resource=ApiVersion(\n        properties=ApiVersionProperties(\n            title=\"Version 1.0\",\n            lifecycle_stage=LifecycleStage.PRODUCTION,\n        )\n    ),\n)\n\nprint(f\"Created version: {version.properties.title}\")\n```\n\n## Add API Definition\n\n```python\nfrom azure.mgmt.apicenter.models import ApiDefinition, ApiDefinitionProperties\n\ndefinition = client.api_definitions.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    version_name=\"v1\",\n    definition_name=\"openapi\",\n    resource=ApiDefinition(\n        properties=ApiDefinitionProperties(\n            title=\"OpenAPI Definition\",\n            description=\"OpenAPI 3.0 specification\",\n        )\n    ),\n)\n```\n\n## Import API Specification\n\n```python\nfrom azure.mgmt.apicenter.models import ApiSpecImportRequest, ApiSpecImportSourceFormat\n\n# Import from inline content\nclient.api_definitions.begin_import_specification(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    version_name=\"v1\",\n    definition_name=\"openapi\",\n    body=ApiSpecImportRequest(\n        format=ApiSpecImportSourceFormat.INLINE,\n        value='{\"openapi\": \"3.0.0\", \"info\": {\"title\": \"My API\", \"version\": \"1.0\"}, \"paths\": {}}',\n    )\n).result()\n```\n\n## List APIs\n\n```python\napis = client.apis.list(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\"\n)\n\nfor api in apis:\n    print(f\"{api.name}: {api.title} ({api.kind})\")\n```\n\n## Create Environment\n\n```python\nfrom azure.mgmt.apicenter.models import Environment, EnvironmentKind, EnvironmentProperties\n\nenvironment = client.environments.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    environment_name=\"production\",\n    resource=Environment(\n        properties=EnvironmentProperties(\n            title=\"Production\",\n            description=\"Production environment\",\n            kind=EnvironmentKind.PRODUCTION,\n            server={\"type\": \"Azure API Management\", \"management_portal_uri\": [\"https:\u002F\u002Fportal.azure.com\"]},\n        )\n    ),\n)\n```\n\n## Create Deployment\n\n```python\nfrom azure.mgmt.apicenter.models import Deployment, DeploymentProperties, DeploymentState\n\ndeployment = client.deployments.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    workspace_name=\"default\",\n    api_name=\"my-api\",\n    deployment_name=\"prod-deployment\",\n    resource=Deployment(\n        properties=DeploymentProperties(\n            title=\"Production Deployment\",\n            description=\"Deployed to production APIM\",\n            environment_id=\"\u002Fworkspaces\u002Fdefault\u002Fenvironments\u002Fproduction\",\n            definition_id=\"\u002Fworkspaces\u002Fdefault\u002Fapis\u002Fmy-api\u002Fversions\u002Fv1\u002Fdefinitions\u002Fopenapi\",\n            state=DeploymentState.ACTIVE,\n            server={\"runtime_uri\": [\"https:\u002F\u002Fapi.example.com\"]},\n        )\n    ),\n)\n```\n\n## Define Custom Metadata\n\n```python\nfrom azure.mgmt.apicenter.models import MetadataSchema, MetadataSchemaProperties\n\nmetadata = client.metadata_schemas.create_or_update(\n    resource_group_name=\"my-resource-group\",\n    service_name=\"my-api-center\",\n    metadata_schema_name=\"data-classification\",\n    resource=MetadataSchema(\n        properties=MetadataSchemaProperties(\n            schema='{\"type\": \"string\", \"title\": \"Data Classification\", \"enum\": [\"public\", \"internal\", \"confidential\"]}'\n        )\n    ),\n)\n```\n\n## Client Types\n\n| Client | Purpose |\n|--------|---------|\n| `ApiCenterMgmtClient` | Main client for all operations |\n\n## Operations\n\n| Operation Group | Purpose |\n|----------------|---------|\n| `services` | API Center service management |\n| `workspaces` | Workspace management |\n| `apis` | API registration and management |\n| `api_versions` | API version management |\n| `api_definitions` | API definition management |\n| `deployments` | Deployment tracking |\n| `environments` | Environment management |\n| `metadata_schemas` | Custom metadata definitions |\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 workspaces** to organize APIs by team or domain\n4. **Define metadata schemas** for consistent governance\n5. **Track deployments** to understand where APIs are running\n6. **Import specifications** to enable API analysis and linting\n7. **Use lifecycle stages** to track API maturity\n8. **Add contacts** for API ownership and support\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":39,"description":42},{"author":12,"package":40,"version":41},"azure-mgmt-apicenter","1.0.0","Azure API Center Management SDK for Python. 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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",[84],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[90,91,92,9,93,94,95,19,96,97,98,28,99,100,101,33,102,103,104],"skill creator","creator","coding agents","foundry","microsoft foundry","ai coding agents","services","coding","guide","ai coding","with","sdks","Existing","when","new",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":121,"publishedAt":34},"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",[111,114,117,120],{"categoryNo":112,"categoryName":113,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":115,"categoryName":116,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":118,"categoryName":119,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},[122,123,124,125,21,126,127,19,128,129,130,26,131,132,133,134,135,136,137,138,139,103,140],"podcast generation","podcast","generation","frontend","react","realtime","azure openai","generate","streaming","Audio","stack","text","model","fastapi","creation","python fastapi","narrative","features","fastapi backend",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":148,"publishedAt":34},"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",[147],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},[149,9,150,151,152,153,154,155,156,157,158,19,159,160,161,28,162,56,163,164,165,166,167,33],"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":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":175,"publishedAt":34},"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",[174],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},[151,176,177,178,21,179,22,180,9,181,182,134,183,184,98,28,185,186,187,100,33,103],"mcp builder","builder","typescript","llms","model context protocol","fastmcp","Tools","node","context","integrate","mcp sdk","building mcp servers",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":192,"categories":193,"keywords":206,"publishedAt":34},"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",[194,197,198,203],{"categoryNo":195,"categoryName":196,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},{"categoryNo":199,"categoryName":200,"taxonomyType":201,"taxonomyTypeDesc":202},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",{"categoryNo":204,"categoryName":205,"taxonomyType":201,"taxonomyTypeDesc":202},"01JBSEEDCAT000000000000036","内容创作者",[190,152,207,208,209,19,210,211,212,213,214,215,216,217,218,219,220,221,222,33,223,224,225],"summarize","memory","analytics","vector","time series","tool","discipline","log","geo","exploration","pipe","time","project","regex","join","datetime","section","anomaly","parse",{"skillNo":227,"name":228,"nameZh":6,"description":229,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":230,"categories":231,"keywords":232,"publishedAt":34},"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",[],[233,234,235,236,91,237,238,239,240,241,242,243,28,244,245,246,247,248,249,33,103],"github","github issue creator","github issue","issue","issue creator","screenshots","notes","logs","error messages","messages","convert","evidence","reports","images","info","visual","error"]