[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M69APG95WSHAFKMQK9Q0XMVT":3,"skill-same:01M69APG95WSHAFKMQK9Q0XMVT":89},{"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":23,"publishedAt":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":58,"ownerHtmlUrl":59,"ownerBlogUrl":60,"ownerDescription":61,"updatedAt":62,"install":63,"resources":76},"01M69APG95WSHAFKMQK9Q0XMVT","azure-ai-contentsafety-java",null,"Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.","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-java\u002Fskills\u002Fazure-ai-contentsafety-java\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,9,44],"azure ai","azure","azure ai contentsafety java","java","text","when","for","implementing","with","ai content","image analysis","content safety","self","use","moderation","image","analysis","applications","Safety","Content Moderation","sdk","2026-11-10 10:12:30",false,"---\nname: azure-ai-contentsafety-java\ndescription: Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: com.azure:azure-ai-contentsafety\n---\n\n# Azure AI Content Safety SDK for Java\n\nBuild content moderation applications using the Azure AI Content Safety SDK for Java.\n\n## Installation\n\n```xml\n\u003Cdependency>\n    \u003CgroupId>com.azure\u003C\u002FgroupId>\n    \u003CartifactId>azure-ai-contentsafety\u003C\u002FartifactId>\n    \u003Cversion>1.1.0-beta.1\u003C\u002Fversion>\n\u003C\u002Fdependency>\n```\n\n## Client Creation\n\n### With API Key\n\n```java\nimport com.azure.ai.contentsafety.ContentSafetyClient;\nimport com.azure.ai.contentsafety.ContentSafetyClientBuilder;\nimport com.azure.ai.contentsafety.BlocklistClient;\nimport com.azure.ai.contentsafety.BlocklistClientBuilder;\nimport com.azure.core.credential.KeyCredential;\n\nString endpoint = System.getenv(\"CONTENT_SAFETY_ENDPOINT\");\nString key = System.getenv(\"CONTENT_SAFETY_KEY\");\n\nContentSafetyClient contentSafetyClient = new ContentSafetyClientBuilder()\n    .credential(new KeyCredential(key))\n    .endpoint(endpoint)\n    .buildClient();\n\nBlocklistClient blocklistClient = new BlocklistClientBuilder()\n    .credential(new KeyCredential(key))\n    .endpoint(endpoint)\n    .buildClient();\n```\n\n### With DefaultAzureCredential\n\n```java\nimport com.azure.core.credential.TokenCredential;\nimport com.azure.identity.AzureIdentityEnvVars;\nimport com.azure.identity.DefaultAzureCredentialBuilder;\nimport com.azure.identity.ManagedIdentityCredentialBuilder;\n\nTokenCredential credential = new DefaultAzureCredentialBuilder()\n    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)\n    .build();\n\u002F\u002F Or use a specific credential directly in production:\n\u002F\u002F See https:\u002F\u002Flearn.microsoft.com\u002Fjava\u002Fapi\u002Foverview\u002Fazure\u002Fidentity-readme?view=azure-java-stable#credential-classes\n\u002F\u002F TokenCredential credential = new ManagedIdentityCredentialBuilder().build();\n\nContentSafetyClient client = new ContentSafetyClientBuilder()\n    .credential(credential)\n    .endpoint(endpoint)\n    .buildClient();\n```\n\n## Key Concepts\n\n### Harm Categories\n| Category | Description |\n|----------|-------------|\n| Hate | Discriminatory language based on identity groups |\n| Sexual | Sexual content, relationships, acts |\n| Violence | Physical harm, weapons, injury |\n| Self-harm | Self-injury, suicide-related content |\n\n### Severity Levels\n- Text: 0-7 scale (default outputs 0, 2, 4, 6)\n- Image: 0, 2, 4, 6 (trimmed scale)\n\n## Core Patterns\n\n### Analyze Text\n\n```java\nimport com.azure.ai.contentsafety.models.*;\n\nAnalyzeTextResult result = contentSafetyClient.analyzeText(\n    new AnalyzeTextOptions(\"This is text to analyze\"));\n\nfor (TextCategoriesAnalysis category : result.getCategoriesAnalysis()) {\n    System.out.printf(\"Category: %s, Severity: %d%n\",\n        category.getCategory(),\n        category.getSeverity());\n}\n```\n\n### Analyze Text with Options\n\n```java\nAnalyzeTextOptions options = new AnalyzeTextOptions(\"Text to analyze\")\n    .setCategories(Arrays.asList(\n        TextCategory.HATE,\n        TextCategory.VIOLENCE))\n    .setOutputType(AnalyzeTextOutputType.EIGHT_SEVERITY_LEVELS);\n\nAnalyzeTextResult result = contentSafetyClient.analyzeText(options);\n```\n\n### Analyze Text with Blocklist\n\n```java\nAnalyzeTextOptions options = new AnalyzeTextOptions(\"I h*te you and want to k*ll you\")\n    .setBlocklistNames(Arrays.asList(\"my-blocklist\"))\n    .setHaltOnBlocklistHit(true);\n\nAnalyzeTextResult result = contentSafetyClient.analyzeText(options);\n\nif (result.getBlocklistsMatch() != null) {\n    for (TextBlocklistMatch match : result.getBlocklistsMatch()) {\n        System.out.printf(\"Blocklist: %s, Item: %s, Text: %s%n\",\n            match.getBlocklistName(),\n            match.getBlocklistItemId(),\n            match.getBlocklistItemText());\n    }\n}\n```\n\n### Analyze Image\n\n```java\nimport com.azure.ai.contentsafety.models.*;\nimport com.azure.core.util.BinaryData;\nimport java.nio.file.Files;\nimport java.nio.file.Paths;\n\n\u002F\u002F From file\nbyte[] imageBytes = Files.readAllBytes(Paths.get(\"image.png\"));\nContentSafetyImageData imageData = new ContentSafetyImageData()\n    .setContent(BinaryData.fromBytes(imageBytes));\n\nAnalyzeImageResult result = contentSafetyClient.analyzeImage(\n    new AnalyzeImageOptions(imageData));\n\nfor (ImageCategoriesAnalysis category : result.getCategoriesAnalysis()) {\n    System.out.printf(\"Category: %s, Severity: %d%n\",\n        category.getCategory(),\n        category.getSeverity());\n}\n```\n\n### Analyze Image from URL\n\n```java\nContentSafetyImageData imageData = new ContentSafetyImageData()\n    .setBlobUrl(\"https:\u002F\u002Fexample.com\u002Fimage.jpg\");\n\nAnalyzeImageResult result = contentSafetyClient.analyzeImage(\n    new AnalyzeImageOptions(imageData));\n```\n\n## Blocklist Management\n\n### Create or Update Blocklist\n\n```java\nimport com.azure.core.http.rest.RequestOptions;\nimport com.azure.core.http.rest.Response;\nimport com.azure.core.util.BinaryData;\nimport java.util.Map;\n\nMap\u003CString, String> description = Map.of(\"description\", \"Custom blocklist\");\nBinaryData resource = BinaryData.fromObject(description);\n\nResponse\u003CBinaryData> response = blocklistClient.createOrUpdateTextBlocklistWithResponse(\n    \"my-blocklist\", resource, new RequestOptions());\n\nif (response.getStatusCode() == 201) {\n    System.out.println(\"Blocklist created\");\n} else if (response.getStatusCode() == 200) {\n    System.out.println(\"Blocklist updated\");\n}\n```\n\n### Add Block Items\n\n```java\nimport com.azure.ai.contentsafety.models.*;\nimport java.util.Arrays;\n\nList\u003CTextBlocklistItem> items = Arrays.asList(\n    new TextBlocklistItem(\"badword1\").setDescription(\"Offensive term\"),\n    new TextBlocklistItem(\"badword2\").setDescription(\"Another term\")\n);\n\nAddOrUpdateTextBlocklistItemsResult result = blocklistClient.addOrUpdateBlocklistItems(\n    \"my-blocklist\",\n    new AddOrUpdateTextBlocklistItemsOptions(items));\n\nfor (TextBlocklistItem item : result.getBlocklistItems()) {\n    System.out.printf(\"Added: %s (ID: %s)%n\",\n        item.getText(),\n        item.getBlocklistItemId());\n}\n```\n\n### List Blocklists\n\n```java\nPagedIterable\u003CTextBlocklist> blocklists = blocklistClient.listTextBlocklists();\n\nfor (TextBlocklist blocklist : blocklists) {\n    System.out.printf(\"Blocklist: %s, Description: %s%n\",\n        blocklist.getName(),\n        blocklist.getDescription());\n}\n```\n\n### Get Blocklist\n\n```java\nTextBlocklist blocklist = blocklistClient.getTextBlocklist(\"my-blocklist\");\nSystem.out.println(\"Name: \" + blocklist.getName());\n```\n\n### List Block Items\n\n```java\nPagedIterable\u003CTextBlocklistItem> items = \n    blocklistClient.listTextBlocklistItems(\"my-blocklist\");\n\nfor (TextBlocklistItem item : items) {\n    System.out.printf(\"ID: %s, Text: %s%n\",\n        item.getBlocklistItemId(),\n        item.getText());\n}\n```\n\n### Remove Block Items\n\n```java\nList\u003CString> itemIds = Arrays.asList(\"item-id-1\", \"item-id-2\");\n\nblocklistClient.removeBlocklistItems(\n    \"my-blocklist\",\n    new RemoveTextBlocklistItemsOptions(itemIds));\n```\n\n### Delete Blocklist\n\n```java\nblocklistClient.deleteTextBlocklist(\"my-blocklist\");\n```\n\n## Error Handling\n\n```java\nimport com.azure.core.exception.HttpResponseException;\n\ntry {\n    contentSafetyClient.analyzeText(new AnalyzeTextOptions(\"test\"));\n} catch (HttpResponseException e) {\n    System.out.println(\"Status: \" + e.getResponse().getStatusCode());\n    System.out.println(\"Error: \" + e.getMessage());\n    \u002F\u002F Common codes: InvalidRequestBody, ResourceNotFound, TooManyRequests\n}\n```\n\n## Environment Variables\n\n```bash\nCONTENT_SAFETY_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\u002F # Required for all auth methods\nCONTENT_SAFETY_KEY=\u003Cyour-api-key> # Only required for AzureKeyCredential auth\nAZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production\n```\n\n## Best Practices\n\n1. **Blocklist Delay**: Changes take ~5 minutes to take effect\n2. **Category Selection**: Only request needed categories to reduce latency\n3. **Severity Thresholds**: Typically block severity >= 4 for strict moderation\n4. **Batch Processing**: Process multiple items in parallel for throughput\n5. **Caching**: Cache blocklist results where appropriate\n\n## Trigger Phrases\n\n- \"content safety Java\"\n- \"content moderation Azure\"\n- \"analyze text safety\"\n- \"image moderation Java\"\n- \"blocklist management\"\n- \"hate speech detection\"\n- \"harmful content filter\"\n","# Azure AI Content Safety SDK for Java\n\nBuild content moderation applications using the Azure AI Content Safety SDK for Java.\n\n## Installation\n\n```xml\n\u003Cdependency>\n    \u003CgroupId>com.azure\u003C\u002FgroupId>\n    \u003CartifactId>azure-ai-contentsafety\u003C\u002FartifactId>\n    \u003Cversion>1.1.0-beta.1\u003C\u002Fversion>\n\u003C\u002Fdependency>\n```\n\n## Client Creation\n\n### With API Key\n\n```java\nimport com.azure.ai.contentsafety.ContentSafetyClient;\nimport com.azure.ai.contentsafety.ContentSafetyClientBuilder;\nimport com.azure.ai.contentsafety.BlocklistClient;\nimport com.azure.ai.contentsafety.BlocklistClientBuilder;\nimport com.azure.core.credential.KeyCredential;\n\nString endpoint = System.getenv(\"CONTENT_SAFETY_ENDPOINT\");\nString key = System.getenv(\"CONTENT_SAFETY_KEY\");\n\nContentSafetyClient contentSafetyClient = new ContentSafetyClientBuilder()\n    .credential(new KeyCredential(key))\n    .endpoint(endpoint)\n    .buildClient();\n\nBlocklistClient blocklistClient = new BlocklistClientBuilder()\n    .credential(new KeyCredential(key))\n    .endpoint(endpoint)\n    .buildClient();\n```\n\n### With DefaultAzureCredential\n\n```java\nimport com.azure.core.credential.TokenCredential;\nimport com.azure.identity.AzureIdentityEnvVars;\nimport com.azure.identity.DefaultAzureCredentialBuilder;\nimport com.azure.identity.ManagedIdentityCredentialBuilder;\n\nTokenCredential credential = new DefaultAzureCredentialBuilder()\n    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)\n    .build();\n\u002F\u002F Or use a specific credential directly in production:\n\u002F\u002F See https:\u002F\u002Flearn.microsoft.com\u002Fjava\u002Fapi\u002Foverview\u002Fazure\u002Fidentity-readme?view=azure-java-stable#credential-classes\n\u002F\u002F TokenCredential credential = new ManagedIdentityCredentialBuilder().build();\n\nContentSafetyClient client = new ContentSafetyClientBuilder()\n    .credential(credential)\n    .endpoint(endpoint)\n    .buildClient();\n```\n\n## Key Concepts\n\n### Harm Categories\n| Category | Description |\n|----------|-------------|\n| Hate | Discriminatory language based on identity groups |\n| Sexual | Sexual content, relationships, acts |\n| Violence | Physical harm, weapons, injury |\n| Self-harm | Self-injury, suicide-related content |\n\n### Severity Levels\n- Text: 0-7 scale (default outputs 0, 2, 4, 6)\n- Image: 0, 2, 4, 6 (trimmed scale)\n\n## Core Patterns\n\n### Analyze Text\n\n```java\nimport com.azure.ai.contentsafety.models.*;\n\nAnalyzeTextResult result = contentSafetyClient.analyzeText(\n    new AnalyzeTextOptions(\"This is text to analyze\"));\n\nfor (TextCategoriesAnalysis category : result.getCategoriesAnalysis()) {\n    System.out.printf(\"Category: %s, Severity: %d%n\",\n        category.getCategory(),\n        category.getSeverity());\n}\n```\n\n### Analyze Text with Options\n\n```java\nAnalyzeTextOptions options = new AnalyzeTextOptions(\"Text to analyze\")\n    .setCategories(Arrays.asList(\n        TextCategory.HATE,\n        TextCategory.VIOLENCE))\n    .setOutputType(AnalyzeTextOutputType.EIGHT_SEVERITY_LEVELS);\n\nAnalyzeTextResult result = contentSafetyClient.analyzeText(options);\n```\n\n### Analyze Text with Blocklist\n\n```java\nAnalyzeTextOptions options = new AnalyzeTextOptions(\"I h*te you and want to k*ll you\")\n    .setBlocklistNames(Arrays.asList(\"my-blocklist\"))\n    .setHaltOnBlocklistHit(true);\n\nAnalyzeTextResult result = contentSafetyClient.analyzeText(options);\n\nif (result.getBlocklistsMatch() != null) {\n    for (TextBlocklistMatch match : result.getBlocklistsMatch()) {\n        System.out.printf(\"Blocklist: %s, Item: %s, Text: %s%n\",\n            match.getBlocklistName(),\n            match.getBlocklistItemId(),\n            match.getBlocklistItemText());\n    }\n}\n```\n\n### Analyze Image\n\n```java\nimport com.azure.ai.contentsafety.models.*;\nimport com.azure.core.util.BinaryData;\nimport java.nio.file.Files;\nimport java.nio.file.Paths;\n\n\u002F\u002F From file\nbyte[] imageBytes = Files.readAllBytes(Paths.get(\"image.png\"));\nContentSafetyImageData imageData = new ContentSafetyImageData()\n    .setContent(BinaryData.fromBytes(imageBytes));\n\nAnalyzeImageResult result = contentSafetyClient.analyzeImage(\n    new AnalyzeImageOptions(imageData));\n\nfor (ImageCategoriesAnalysis category : result.getCategoriesAnalysis()) {\n    System.out.printf(\"Category: %s, Severity: %d%n\",\n        category.getCategory(),\n        category.getSeverity());\n}\n```\n\n### Analyze Image from URL\n\n```java\nContentSafetyImageData imageData = new ContentSafetyImageData()\n    .setBlobUrl(\"https:\u002F\u002Fexample.com\u002Fimage.jpg\");\n\nAnalyzeImageResult result = contentSafetyClient.analyzeImage(\n    new AnalyzeImageOptions(imageData));\n```\n\n## Blocklist Management\n\n### Create or Update Blocklist\n\n```java\nimport com.azure.core.http.rest.RequestOptions;\nimport com.azure.core.http.rest.Response;\nimport com.azure.core.util.BinaryData;\nimport java.util.Map;\n\nMap\u003CString, String> description = Map.of(\"description\", \"Custom blocklist\");\nBinaryData resource = BinaryData.fromObject(description);\n\nResponse\u003CBinaryData> response = blocklistClient.createOrUpdateTextBlocklistWithResponse(\n    \"my-blocklist\", resource, new RequestOptions());\n\nif (response.getStatusCode() == 201) {\n    System.out.println(\"Blocklist created\");\n} else if (response.getStatusCode() == 200) {\n    System.out.println(\"Blocklist updated\");\n}\n```\n\n### Add Block Items\n\n```java\nimport com.azure.ai.contentsafety.models.*;\nimport java.util.Arrays;\n\nList\u003CTextBlocklistItem> items = Arrays.asList(\n    new TextBlocklistItem(\"badword1\").setDescription(\"Offensive term\"),\n    new TextBlocklistItem(\"badword2\").setDescription(\"Another term\")\n);\n\nAddOrUpdateTextBlocklistItemsResult result = blocklistClient.addOrUpdateBlocklistItems(\n    \"my-blocklist\",\n    new AddOrUpdateTextBlocklistItemsOptions(items));\n\nfor (TextBlocklistItem item : result.getBlocklistItems()) {\n    System.out.printf(\"Added: %s (ID: %s)%n\",\n        item.getText(),\n        item.getBlocklistItemId());\n}\n```\n\n### List Blocklists\n\n```java\nPagedIterable\u003CTextBlocklist> blocklists = blocklistClient.listTextBlocklists();\n\nfor (TextBlocklist blocklist : blocklists) {\n    System.out.printf(\"Blocklist: %s, Description: %s%n\",\n        blocklist.getName(),\n        blocklist.getDescription());\n}\n```\n\n### Get Blocklist\n\n```java\nTextBlocklist blocklist = blocklistClient.getTextBlocklist(\"my-blocklist\");\nSystem.out.println(\"Name: \" + blocklist.getName());\n```\n\n### List Block Items\n\n```java\nPagedIterable\u003CTextBlocklistItem> items = \n    blocklistClient.listTextBlocklistItems(\"my-blocklist\");\n\nfor (TextBlocklistItem item : items) {\n    System.out.printf(\"ID: %s, Text: %s%n\",\n        item.getBlocklistItemId(),\n        item.getText());\n}\n```\n\n### Remove Block Items\n\n```java\nList\u003CString> itemIds = Arrays.asList(\"item-id-1\", \"item-id-2\");\n\nblocklistClient.removeBlocklistItems(\n    \"my-blocklist\",\n    new RemoveTextBlocklistItemsOptions(itemIds));\n```\n\n### Delete Blocklist\n\n```java\nblocklistClient.deleteTextBlocklist(\"my-blocklist\");\n```\n\n## Error Handling\n\n```java\nimport com.azure.core.exception.HttpResponseException;\n\ntry {\n    contentSafetyClient.analyzeText(new AnalyzeTextOptions(\"test\"));\n} catch (HttpResponseException e) {\n    System.out.println(\"Status: \" + e.getResponse().getStatusCode());\n    System.out.println(\"Error: \" + e.getMessage());\n    \u002F\u002F Common codes: InvalidRequestBody, ResourceNotFound, TooManyRequests\n}\n```\n\n## Environment Variables\n\n```bash\nCONTENT_SAFETY_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\u002F # Required for all auth methods\nCONTENT_SAFETY_KEY=\u003Cyour-api-key> # Only required for AzureKeyCredential auth\nAZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production\n```\n\n## Best Practices\n\n1. **Blocklist Delay**: Changes take ~5 minutes to take effect\n2. **Category Selection**: Only request needed categories to reduce latency\n3. **Severity Thresholds**: Typically block severity >= 4 for strict moderation\n4. **Batch Processing**: Process multiple items in parallel for throughput\n5. **Caching**: Cache blocklist results where appropriate\n\n## Trigger Phrases\n\n- \"content safety Java\"\n- \"content moderation Azure\"\n- \"analyze text safety\"\n- \"image moderation Java\"\n- \"blocklist management\"\n- \"hate speech detection\"\n- \"harmful content filter\"\n",{"name":5,"license":15,"metadata":50,"description":7},{"author":12,"package":51,"version":52},"com.azure:azure-ai-contentsafety","1.0.0","main","3f5b461b2314e01c400564051e92469114c5b68f",".github\u002Fplugins\u002Fazure-sdk-java\u002Fskills\u002Fazure-ai-contentsafety-java",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":64,"prompt":74,"zipAvailable":75},[65,68,71],{"tool":66,"command":67},"npx","npx skills add microsoft\u002Fskills --skill azure-ai-contentsafety-java",{"tool":69,"command":70},"bunx","bunx skills add microsoft\u002Fskills --skill azure-ai-contentsafety-java",{"tool":72,"command":73},"pnpm","pnpm dlx skills add microsoft\u002Fskills --skill 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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",[96],{"categoryNo":97,"categoryName":98,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[100,101,102,9,103,104,105,25,106,107,108,37,109,32,110,30,111,29,112],"skill creator","creator","coding agents","foundry","microsoft foundry","ai coding agents","services","coding","guide","ai coding","sdks","Existing","new",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":127,"publishedAt":45},"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",[119,122,125,126],{"categoryNo":120,"categoryName":121,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":123,"categoryName":124,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":97,"categoryName":98,"taxonomyType":21,"taxonomyTypeDesc":22},[128,129,130,131,132,133,134,25,135,136,137,138,139,140,28,141,142,143,144,145,146,29,147],"podcast generation","podcast","generation","frontend","python","react","realtime","azure openai","generate","streaming","api","Audio","stack","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":45},"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":97,"categoryName":98,"taxonomyType":21,"taxonomyTypeDesc":22},[156,9,157,158,159,160,161,162,163,164,165,25,166,167,168,37,169,66,170,171,172,173,174,30],"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":45},"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":97,"categoryName":98,"taxonomyType":21,"taxonomyTypeDesc":22},[158,183,184,185,132,186,44,187,9,188,189,141,190,191,108,37,192,193,194,32,30,29],"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":45},"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":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":97,"categoryName":98,"taxonomyType":21,"taxonomyTypeDesc":22},{"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",[197,159,214,215,216,25,217,218,219,220,221,222,223,224,225,226,227,228,229,30,230,231,232],"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":45},"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",[],[240,241,242,243,101,244,245,246,247,248,249,250,37,251,252,253,254,255,256,30,29],"github","github issue creator","github issue","issue","issue creator","screenshots","notes","logs","error messages","messages","convert","evidence","reports","images","info","visual","error"]