[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M69APXD33HVXFFD069BGRXF7":3,"skill-same:01M69APXD33HVXFFD069BGRXF7":83},{"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},"01M69APXD33HVXFFD069BGRXF7","azure-communication-callautomation-java",null,"Build call automation workflows with Azure Communication Services Call Automation Java SDK. Use when implementing IVR systems, call routing, call recording, DTMF recognition, text-to-speech, or AI-powered call flows.","microsoft\u002Fskills","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M69AJYYW4E1RMSYCQDJ4FJSH",3199,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fplugins\u002Fazure-sdk-java\u002Fskills\u002Fazure-communication-callautomation-java\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","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","azure communication callautomation java","communication","java","text","when","implementing","text-to-speech","recording","with","flows","azure communication services","call","build","use","sdk","services","speech","routing","workflows","automation","2026-11-10 10:12:30",false,"---\nname: azure-communication-callautomation-java\ndescription: Build call automation workflows with Azure Communication Services Call Automation Java SDK. Use when implementing IVR systems, call routing, call recording, DTMF recognition, text-to-speech, or AI-powered call flows.\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: com.azure:azure-communication-callautomation\n---\n\n# Azure Communication Call Automation (Java)\n\nBuild server-side call automation workflows including IVR systems, call routing, recording, and AI-powered interactions.\n\n## Installation\n\n```xml\n\u003Cdependency>\n    \u003CgroupId>com.azure\u003C\u002FgroupId>\n    \u003CartifactId>azure-communication-callautomation\u003C\u002FartifactId>\n    \u003Cversion>1.6.0\u003C\u002Fversion>\n\u003C\u002Fdependency>\n```\n\n## Client Creation\n\n```java\nimport com.azure.communication.callautomation.CallAutomationClient;\nimport com.azure.communication.callautomation.CallAutomationClientBuilder;\nimport com.azure.core.credential.TokenCredential;\nimport com.azure.identity.AzureIdentityEnvVars;\nimport com.azure.identity.DefaultAzureCredentialBuilder;\nimport com.azure.identity.ManagedIdentityCredentialBuilder;\n\n\u002F\u002F Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>\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\n\u002F\u002F With DefaultAzureCredential\nCallAutomationClient client = new CallAutomationClientBuilder()\n    .endpoint(\"https:\u002F\u002F\u003Cresource>.communication.azure.com\")\n    .credential(credential)\n    .buildClient();\n\n\u002F\u002F With connection string\nCallAutomationClient client = new CallAutomationClientBuilder()\n    .connectionString(\"\u003Cconnection-string>\")\n    .buildClient();\n```\n\n## Key Concepts\n\n| Class | Purpose |\n|-------|---------|\n| `CallAutomationClient` | Make calls, answer\u002Freject incoming calls, redirect calls |\n| `CallConnection` | Actions in established calls (add participants, terminate) |\n| `CallMedia` | Media operations (play audio, recognize DTMF\u002Fspeech) |\n| `CallRecording` | Start\u002Fstop\u002Fpause recording |\n| `CallAutomationEventParser` | Parse webhook events from ACS |\n\n## Create Outbound Call\n\n```java\nimport com.azure.communication.callautomation.models.*;\nimport com.azure.communication.common.CommunicationUserIdentifier;\nimport com.azure.communication.common.PhoneNumberIdentifier;\n\n\u002F\u002F Call to PSTN number\nPhoneNumberIdentifier target = new PhoneNumberIdentifier(\"+14255551234\");\nPhoneNumberIdentifier caller = new PhoneNumberIdentifier(\"+14255550100\");\n\nCreateCallOptions options = new CreateCallOptions(\n    new CommunicationUserIdentifier(\"\u003Cuser-id>\"),  \u002F\u002F Source\n    List.of(target))                                \u002F\u002F Targets\n    .setSourceCallerId(caller)\n    .setCallbackUrl(\"https:\u002F\u002Fyour-app.com\u002Fapi\u002Fcallbacks\");\n\nCreateCallResult result = client.createCall(options);\nString callConnectionId = result.getCallConnectionProperties().getCallConnectionId();\n```\n\n## Answer Incoming Call\n\n```java\n\u002F\u002F From Event Grid webhook - IncomingCall event\nString incomingCallContext = \"\u003Cincoming-call-context-from-event>\";\n\nAnswerCallOptions options = new AnswerCallOptions(\n    incomingCallContext,\n    \"https:\u002F\u002Fyour-app.com\u002Fapi\u002Fcallbacks\");\n\nAnswerCallResult result = client.answerCall(options);\nCallConnection callConnection = result.getCallConnection();\n```\n\n## Play Audio (Text-to-Speech)\n\n```java\nCallConnection callConnection = client.getCallConnection(callConnectionId);\nCallMedia callMedia = callConnection.getCallMedia();\n\n\u002F\u002F Play text-to-speech\nTextSource textSource = new TextSource()\n    .setText(\"Welcome to Contoso. Press 1 for sales, 2 for support.\")\n    .setVoiceName(\"en-US-JennyNeural\");\n\nPlayOptions playOptions = new PlayOptions(\n    List.of(textSource),\n    List.of(new CommunicationUserIdentifier(\"\u003Ctarget-user>\")));\n\ncallMedia.play(playOptions);\n\n\u002F\u002F Play audio file\nFileSource fileSource = new FileSource()\n    .setUrl(\"https:\u002F\u002Fstorage.blob.core.windows.net\u002Faudio\u002Fgreeting.wav\");\n\ncallMedia.play(new PlayOptions(List.of(fileSource), List.of(target)));\n```\n\n## Recognize DTMF Input\n\n```java\n\u002F\u002F Recognize DTMF tones\nDtmfTone stopTones = DtmfTone.POUND;\n\nCallMediaRecognizeDtmfOptions recognizeOptions = new CallMediaRecognizeDtmfOptions(\n    new CommunicationUserIdentifier(\"\u003Ctarget-user>\"),\n    5)  \u002F\u002F Max tones to collect\n    .setInterToneTimeout(Duration.ofSeconds(5))\n    .setStopTones(List.of(stopTones))\n    .setInitialSilenceTimeout(Duration.ofSeconds(15))\n    .setPlayPrompt(new TextSource().setText(\"Enter your account number followed by pound.\"));\n\ncallMedia.startRecognizing(recognizeOptions);\n```\n\n## Recognize Speech\n\n```java\n\u002F\u002F Speech recognition with AI\nCallMediaRecognizeSpeechOptions speechOptions = new CallMediaRecognizeSpeechOptions(\n    new CommunicationUserIdentifier(\"\u003Ctarget-user>\"))\n    .setEndSilenceTimeout(Duration.ofSeconds(2))\n    .setSpeechLanguage(\"en-US\")\n    .setPlayPrompt(new TextSource().setText(\"How can I help you today?\"));\n\ncallMedia.startRecognizing(speechOptions);\n```\n\n## Call Recording\n\n```java\nCallRecording callRecording = client.getCallRecording();\n\n\u002F\u002F Start recording\nStartRecordingOptions recordingOptions = new StartRecordingOptions(\n    new ServerCallLocator(\"\u003Cserver-call-id>\"))\n    .setRecordingChannel(RecordingChannel.MIXED)\n    .setRecordingContent(RecordingContent.AUDIO_VIDEO)\n    .setRecordingFormat(RecordingFormat.MP4);\n\nRecordingStateResult recordingResult = callRecording.start(recordingOptions);\nString recordingId = recordingResult.getRecordingId();\n\n\u002F\u002F Pause\u002Fresume\u002Fstop\ncallRecording.pause(recordingId);\ncallRecording.resume(recordingId);\ncallRecording.stop(recordingId);\n\n\u002F\u002F Download recording (after RecordingFileStatusUpdated event)\ncallRecording.downloadTo(recordingUrl, Paths.get(\"recording.mp4\"));\n```\n\n## Add Participant to Call\n\n```java\nCallConnection callConnection = client.getCallConnection(callConnectionId);\n\nCommunicationUserIdentifier participant = new CommunicationUserIdentifier(\"\u003Cuser-id>\");\nAddParticipantOptions addOptions = new AddParticipantOptions(participant)\n    .setInvitationTimeout(Duration.ofSeconds(30));\n\nAddParticipantResult result = callConnection.addParticipant(addOptions);\n```\n\n## Transfer Call\n\n```java\n\u002F\u002F Blind transfer\nPhoneNumberIdentifier transferTarget = new PhoneNumberIdentifier(\"+14255559999\");\nTransferCallToParticipantResult result = callConnection.transferCallToParticipant(transferTarget);\n```\n\n## Handle Events (Webhook)\n\n```java\nimport com.azure.communication.callautomation.CallAutomationEventParser;\nimport com.azure.communication.callautomation.models.events.*;\n\n\u002F\u002F In your webhook endpoint\npublic void handleCallback(String requestBody) {\n    List\u003CCallAutomationEventBase> events = CallAutomationEventParser.parseEvents(requestBody);\n    \n    for (CallAutomationEventBase event : events) {\n        if (event instanceof CallConnected) {\n            CallConnected connected = (CallConnected) event;\n            System.out.println(\"Call connected: \" + connected.getCallConnectionId());\n        } else if (event instanceof RecognizeCompleted) {\n            RecognizeCompleted recognized = (RecognizeCompleted) event;\n            \u002F\u002F Handle DTMF or speech recognition result\n            DtmfResult dtmfResult = (DtmfResult) recognized.getRecognizeResult();\n            String tones = dtmfResult.getTones().stream()\n                .map(DtmfTone::toString)\n                .collect(Collectors.joining());\n            System.out.println(\"DTMF received: \" + tones);\n        } else if (event instanceof PlayCompleted) {\n            System.out.println(\"Audio playback completed\");\n        } else if (event instanceof CallDisconnected) {\n            System.out.println(\"Call ended\");\n        }\n    }\n}\n```\n\n## Hang Up Call\n\n```java\n\u002F\u002F Hang up for all participants\ncallConnection.hangUp(true);\n\n\u002F\u002F Hang up only this leg\ncallConnection.hangUp(false);\n```\n\n## Error Handling\n\n```java\nimport com.azure.core.exception.HttpResponseException;\n\ntry {\n    client.answerCall(options);\n} catch (HttpResponseException e) {\n    if (e.getResponse().getStatusCode() == 404) {\n        System.out.println(\"Call not found or already ended\");\n    } else if (e.getResponse().getStatusCode() == 400) {\n        System.out.println(\"Invalid request: \" + e.getMessage());\n    }\n}\n```\n\n## Environment Variables\n\n```bash\nAZURE_COMMUNICATION_ENDPOINT=https:\u002F\u002F\u003Cresource>.communication.azure.com  # Required for all auth methods\nAZURE_COMMUNICATION_CONNECTION_STRING=endpoint=https:\u002F\u002F...;accesskey=...  # Alternative to Entra ID auth\nCALLBACK_BASE_URL=https:\u002F\u002Fyour-app.com\u002Fapi\u002Fcallbacks  # Required for webhook callbacks\nAZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production\n```\n\n## Trigger Phrases\n\n- \"call automation Java\", \"IVR Java\", \"interactive voice response\"\n- \"call recording Java\", \"DTMF recognition Java\"\n- \"text to speech call\", \"speech recognition call\"\n- \"answer incoming call\", \"transfer call Java\"\n- \"Azure Communication Services call automation\"\n","# Azure Communication Call Automation (Java)\n\nBuild server-side call automation workflows including IVR systems, call routing, recording, and AI-powered interactions.\n\n## Installation\n\n```xml\n\u003Cdependency>\n    \u003CgroupId>com.azure\u003C\u002FgroupId>\n    \u003CartifactId>azure-communication-callautomation\u003C\u002FartifactId>\n    \u003Cversion>1.6.0\u003C\u002Fversion>\n\u003C\u002Fdependency>\n```\n\n## Client Creation\n\n```java\nimport com.azure.communication.callautomation.CallAutomationClient;\nimport com.azure.communication.callautomation.CallAutomationClientBuilder;\nimport com.azure.core.credential.TokenCredential;\nimport com.azure.identity.AzureIdentityEnvVars;\nimport com.azure.identity.DefaultAzureCredentialBuilder;\nimport com.azure.identity.ManagedIdentityCredentialBuilder;\n\n\u002F\u002F Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>\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\n\u002F\u002F With DefaultAzureCredential\nCallAutomationClient client = new CallAutomationClientBuilder()\n    .endpoint(\"https:\u002F\u002F\u003Cresource>.communication.azure.com\")\n    .credential(credential)\n    .buildClient();\n\n\u002F\u002F With connection string\nCallAutomationClient client = new CallAutomationClientBuilder()\n    .connectionString(\"\u003Cconnection-string>\")\n    .buildClient();\n```\n\n## Key Concepts\n\n| Class | Purpose |\n|-------|---------|\n| `CallAutomationClient` | Make calls, answer\u002Freject incoming calls, redirect calls |\n| `CallConnection` | Actions in established calls (add participants, terminate) |\n| `CallMedia` | Media operations (play audio, recognize DTMF\u002Fspeech) |\n| `CallRecording` | Start\u002Fstop\u002Fpause recording |\n| `CallAutomationEventParser` | Parse webhook events from ACS |\n\n## Create Outbound Call\n\n```java\nimport com.azure.communication.callautomation.models.*;\nimport com.azure.communication.common.CommunicationUserIdentifier;\nimport com.azure.communication.common.PhoneNumberIdentifier;\n\n\u002F\u002F Call to PSTN number\nPhoneNumberIdentifier target = new PhoneNumberIdentifier(\"+14255551234\");\nPhoneNumberIdentifier caller = new PhoneNumberIdentifier(\"+14255550100\");\n\nCreateCallOptions options = new CreateCallOptions(\n    new CommunicationUserIdentifier(\"\u003Cuser-id>\"),  \u002F\u002F Source\n    List.of(target))                                \u002F\u002F Targets\n    .setSourceCallerId(caller)\n    .setCallbackUrl(\"https:\u002F\u002Fyour-app.com\u002Fapi\u002Fcallbacks\");\n\nCreateCallResult result = client.createCall(options);\nString callConnectionId = result.getCallConnectionProperties().getCallConnectionId();\n```\n\n## Answer Incoming Call\n\n```java\n\u002F\u002F From Event Grid webhook - IncomingCall event\nString incomingCallContext = \"\u003Cincoming-call-context-from-event>\";\n\nAnswerCallOptions options = new AnswerCallOptions(\n    incomingCallContext,\n    \"https:\u002F\u002Fyour-app.com\u002Fapi\u002Fcallbacks\");\n\nAnswerCallResult result = client.answerCall(options);\nCallConnection callConnection = result.getCallConnection();\n```\n\n## Play Audio (Text-to-Speech)\n\n```java\nCallConnection callConnection = client.getCallConnection(callConnectionId);\nCallMedia callMedia = callConnection.getCallMedia();\n\n\u002F\u002F Play text-to-speech\nTextSource textSource = new TextSource()\n    .setText(\"Welcome to Contoso. Press 1 for sales, 2 for support.\")\n    .setVoiceName(\"en-US-JennyNeural\");\n\nPlayOptions playOptions = new PlayOptions(\n    List.of(textSource),\n    List.of(new CommunicationUserIdentifier(\"\u003Ctarget-user>\")));\n\ncallMedia.play(playOptions);\n\n\u002F\u002F Play audio file\nFileSource fileSource = new FileSource()\n    .setUrl(\"https:\u002F\u002Fstorage.blob.core.windows.net\u002Faudio\u002Fgreeting.wav\");\n\ncallMedia.play(new PlayOptions(List.of(fileSource), List.of(target)));\n```\n\n## Recognize DTMF Input\n\n```java\n\u002F\u002F Recognize DTMF tones\nDtmfTone stopTones = DtmfTone.POUND;\n\nCallMediaRecognizeDtmfOptions recognizeOptions = new CallMediaRecognizeDtmfOptions(\n    new CommunicationUserIdentifier(\"\u003Ctarget-user>\"),\n    5)  \u002F\u002F Max tones to collect\n    .setInterToneTimeout(Duration.ofSeconds(5))\n    .setStopTones(List.of(stopTones))\n    .setInitialSilenceTimeout(Duration.ofSeconds(15))\n    .setPlayPrompt(new TextSource().setText(\"Enter your account number followed by pound.\"));\n\ncallMedia.startRecognizing(recognizeOptions);\n```\n\n## Recognize Speech\n\n```java\n\u002F\u002F Speech recognition with AI\nCallMediaRecognizeSpeechOptions speechOptions = new CallMediaRecognizeSpeechOptions(\n    new CommunicationUserIdentifier(\"\u003Ctarget-user>\"))\n    .setEndSilenceTimeout(Duration.ofSeconds(2))\n    .setSpeechLanguage(\"en-US\")\n    .setPlayPrompt(new TextSource().setText(\"How can I help you today?\"));\n\ncallMedia.startRecognizing(speechOptions);\n```\n\n## Call Recording\n\n```java\nCallRecording callRecording = client.getCallRecording();\n\n\u002F\u002F Start recording\nStartRecordingOptions recordingOptions = new StartRecordingOptions(\n    new ServerCallLocator(\"\u003Cserver-call-id>\"))\n    .setRecordingChannel(RecordingChannel.MIXED)\n    .setRecordingContent(RecordingContent.AUDIO_VIDEO)\n    .setRecordingFormat(RecordingFormat.MP4);\n\nRecordingStateResult recordingResult = callRecording.start(recordingOptions);\nString recordingId = recordingResult.getRecordingId();\n\n\u002F\u002F Pause\u002Fresume\u002Fstop\ncallRecording.pause(recordingId);\ncallRecording.resume(recordingId);\ncallRecording.stop(recordingId);\n\n\u002F\u002F Download recording (after RecordingFileStatusUpdated event)\ncallRecording.downloadTo(recordingUrl, Paths.get(\"recording.mp4\"));\n```\n\n## Add Participant to Call\n\n```java\nCallConnection callConnection = client.getCallConnection(callConnectionId);\n\nCommunicationUserIdentifier participant = new CommunicationUserIdentifier(\"\u003Cuser-id>\");\nAddParticipantOptions addOptions = new AddParticipantOptions(participant)\n    .setInvitationTimeout(Duration.ofSeconds(30));\n\nAddParticipantResult result = callConnection.addParticipant(addOptions);\n```\n\n## Transfer Call\n\n```java\n\u002F\u002F Blind transfer\nPhoneNumberIdentifier transferTarget = new PhoneNumberIdentifier(\"+14255559999\");\nTransferCallToParticipantResult result = callConnection.transferCallToParticipant(transferTarget);\n```\n\n## Handle Events (Webhook)\n\n```java\nimport com.azure.communication.callautomation.CallAutomationEventParser;\nimport com.azure.communication.callautomation.models.events.*;\n\n\u002F\u002F In your webhook endpoint\npublic void handleCallback(String requestBody) {\n    List\u003CCallAutomationEventBase> events = CallAutomationEventParser.parseEvents(requestBody);\n    \n    for (CallAutomationEventBase event : events) {\n        if (event instanceof CallConnected) {\n            CallConnected connected = (CallConnected) event;\n            System.out.println(\"Call connected: \" + connected.getCallConnectionId());\n        } else if (event instanceof RecognizeCompleted) {\n            RecognizeCompleted recognized = (RecognizeCompleted) event;\n            \u002F\u002F Handle DTMF or speech recognition result\n            DtmfResult dtmfResult = (DtmfResult) recognized.getRecognizeResult();\n            String tones = dtmfResult.getTones().stream()\n                .map(DtmfTone::toString)\n                .collect(Collectors.joining());\n            System.out.println(\"DTMF received: \" + tones);\n        } else if (event instanceof PlayCompleted) {\n            System.out.println(\"Audio playback completed\");\n        } else if (event instanceof CallDisconnected) {\n            System.out.println(\"Call ended\");\n        }\n    }\n}\n```\n\n## Hang Up Call\n\n```java\n\u002F\u002F Hang up for all participants\ncallConnection.hangUp(true);\n\n\u002F\u002F Hang up only this leg\ncallConnection.hangUp(false);\n```\n\n## Error Handling\n\n```java\nimport com.azure.core.exception.HttpResponseException;\n\ntry {\n    client.answerCall(options);\n} catch (HttpResponseException e) {\n    if (e.getResponse().getStatusCode() == 404) {\n        System.out.println(\"Call not found or already ended\");\n    } else if (e.getResponse().getStatusCode() == 400) {\n        System.out.println(\"Invalid request: \" + e.getMessage());\n    }\n}\n```\n\n## Environment Variables\n\n```bash\nAZURE_COMMUNICATION_ENDPOINT=https:\u002F\u002F\u003Cresource>.communication.azure.com  # Required for all auth methods\nAZURE_COMMUNICATION_CONNECTION_STRING=endpoint=https:\u002F\u002F...;accesskey=...  # Alternative to Entra ID auth\nCALLBACK_BASE_URL=https:\u002F\u002Fyour-app.com\u002Fapi\u002Fcallbacks  # Required for webhook callbacks\nAZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production\n```\n\n## Trigger Phrases\n\n- \"call automation Java\", \"IVR Java\", \"interactive voice response\"\n- \"call recording Java\", \"DTMF recognition Java\"\n- \"text to speech call\", \"speech recognition call\"\n- \"answer incoming call\", \"transfer call Java\"\n- \"Azure Communication Services call 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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",[90],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[92,93,94,9,95,96,97,24,40,98,99,38,100,33,101,102,103,29,104],"skill creator","creator","coding agents","foundry","microsoft foundry","ai coding agents","coding","guide","ai coding","sdks","for","Existing","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":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",[111,114,117,120],{"categoryNo":112,"categoryName":113,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":115,"categoryName":116,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":118,"categoryName":119,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[122,123,124,125,126,127,128,24,129,130,131,132,133,134,28,135,136,137,138,139,140,29,141],"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":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":149,"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",[148],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[150,9,151,152,153,154,155,156,157,158,159,24,160,161,162,38,163,66,164,165,166,167,168,102],"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":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":173,"categories":174,"keywords":176,"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",[175],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[152,177,178,179,126,180,39,181,9,182,183,135,184,185,99,38,186,187,188,33,102,29],"mcp builder","builder","typescript","llms","model context protocol","fastmcp","Tools","node","context","integrate","mcp sdk","building mcp servers",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":207,"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",[195,198,199,204],{"categoryNo":196,"categoryName":197,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":200,"categoryName":201,"taxonomyType":202,"taxonomyTypeDesc":203},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",{"categoryNo":205,"categoryName":206,"taxonomyType":202,"taxonomyTypeDesc":203},"01JBSEEDCAT000000000000036","内容创作者",[191,153,208,209,210,24,211,212,213,214,215,216,217,218,219,220,221,222,223,102,224,225,226],"summarize","memory","analytics","vector","time series","tool","discipline","log","geo","exploration","pipe","time","project","regex","join","datetime","section","anomaly","parse",{"skillNo":228,"name":229,"nameZh":6,"description":230,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":231,"categories":232,"keywords":233,"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",[],[234,235,236,237,93,238,239,240,241,242,243,244,38,245,246,247,248,249,250,102,29],"github","github issue creator","github issue","issue","issue creator","screenshots","notes","logs","error messages","messages","convert","evidence","reports","images","info","visual","error"]