[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6G531YCC7Z722PC4G5EPF2D":3,"skill-same:01M6G531YCC7Z722PC4G5EPF2D":91},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":25,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M6G531YCC7Z722PC4G5EPF2D","azure-ai-voicelive-py",null,"Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fthegovind\u002Fazure-ai-voicelive-py\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"azure ai","azure","azure ai voicelive py","activity","MCP","ai models","vad","live","time","translation","conversation","Audio","applications","real-time","websocket","Tools","server","streaming","speech","communication","2026-11-10 10:12:30",false,"---\nname: azure-ai-voicelive-py\ndescription: Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.\npackage: azure-ai-voicelive\n---\n\n# Azure AI Voice Live SDK\n\nBuild real-time voice AI applications with bidirectional WebSocket communication.\n\n## Installation\n\n```bash\npip install azure-ai-voicelive aiohttp azure-identity\n```\n\n## Environment Variables\n\n```bash\nAZURE_COGNITIVE_SERVICES_ENDPOINT=https:\u002F\u002F\u003Cregion>.api.cognitive.microsoft.com\n# For API key auth (not recommended for production)\nAZURE_COGNITIVE_SERVICES_KEY=\u003Capi-key>\n```\n\n## Authentication\n\n**DefaultAzureCredential (preferred)**:\n```python\nfrom azure.ai.voicelive.aio import connect\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync with connect(\n    endpoint=os.environ[\"AZURE_COGNITIVE_SERVICES_ENDPOINT\"],\n    credential=DefaultAzureCredential(),\n    model=\"gpt-4o-realtime-preview\",\n    credential_scopes=[\"https:\u002F\u002Fcognitiveservices.azure.com\u002F.default\"]\n) as conn:\n    ...\n```\n\n**API Key**:\n```python\nfrom azure.ai.voicelive.aio import connect\nfrom azure.core.credentials import AzureKeyCredential\n\nasync with connect(\n    endpoint=os.environ[\"AZURE_COGNITIVE_SERVICES_ENDPOINT\"],\n    credential=AzureKeyCredential(os.environ[\"AZURE_COGNITIVE_SERVICES_KEY\"]),\n    model=\"gpt-4o-realtime-preview\"\n) as conn:\n    ...\n```\n\n## Quick Start\n\n```python\nimport asyncio\nimport os\nfrom azure.ai.voicelive.aio import connect\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def main():\n    async with connect(\n        endpoint=os.environ[\"AZURE_COGNITIVE_SERVICES_ENDPOINT\"],\n        credential=DefaultAzureCredential(),\n        model=\"gpt-4o-realtime-preview\",\n        credential_scopes=[\"https:\u002F\u002Fcognitiveservices.azure.com\u002F.default\"]\n    ) as conn:\n        # Update session with instructions\n        await conn.session.update(session={\n            \"instructions\": \"You are a helpful assistant.\",\n            \"modalities\": [\"text\", \"audio\"],\n            \"voice\": \"alloy\"\n        })\n        \n        # Listen for events\n        async for event in conn:\n            print(f\"Event: {event.type}\")\n            if event.type == \"response.audio_transcript.done\":\n                print(f\"Transcript: {event.transcript}\")\n            elif event.type == \"response.done\":\n                break\n\nasyncio.run(main())\n```\n\n## Core Architecture\n\n### Connection Resources\n\nThe `VoiceLiveConnection` exposes these resources:\n\n| Resource | Purpose | Key Methods |\n|----------|---------|-------------|\n| `conn.session` | Session configuration | `update(session=...)` |\n| `conn.response` | Model responses | `create()`, `cancel()` |\n| `conn.input_audio_buffer` | Audio input | `append()`, `commit()`, `clear()` |\n| `conn.output_audio_buffer` | Audio output | `clear()` |\n| `conn.conversation` | Conversation state | `item.create()`, `item.delete()`, `item.truncate()` |\n| `conn.transcription_session` | Transcription config | `update(session=...)` |\n\n## Session Configuration\n\n```python\nfrom azure.ai.voicelive.models import RequestSession, FunctionTool\n\nawait conn.session.update(session=RequestSession(\n    instructions=\"You are a helpful voice assistant.\",\n    modalities=[\"text\", \"audio\"],\n    voice=\"alloy\",  # or \"echo\", \"shimmer\", \"sage\", etc.\n    input_audio_format=\"pcm16\",\n    output_audio_format=\"pcm16\",\n    turn_detection={\n        \"type\": \"server_vad\",\n        \"threshold\": 0.5,\n        \"prefix_padding_ms\": 300,\n        \"silence_duration_ms\": 500\n    },\n    tools=[\n        FunctionTool(\n            type=\"function\",\n            name=\"get_weather\",\n            description=\"Get current weather\",\n            parameters={\n                \"type\": \"object\",\n                \"properties\": {\n                    \"location\": {\"type\": \"string\"}\n                },\n                \"required\": [\"location\"]\n            }\n        )\n    ]\n))\n```\n\n## Audio Streaming\n\n### Send Audio (Base64 PCM16)\n\n```python\nimport base64\n\n# Read audio chunk (16-bit PCM, 24kHz mono)\naudio_chunk = await read_audio_from_microphone()\nb64_audio = base64.b64encode(audio_chunk).decode()\n\nawait conn.input_audio_buffer.append(audio=b64_audio)\n```\n\n### Receive Audio\n\n```python\nasync for event in conn:\n    if event.type == \"response.audio.delta\":\n        audio_bytes = base64.b64decode(event.delta)\n        await play_audio(audio_bytes)\n    elif event.type == \"response.audio.done\":\n        print(\"Audio complete\")\n```\n\n## Event Handling\n\n```python\nasync for event in conn:\n    match event.type:\n        # Session events\n        case \"session.created\":\n            print(f\"Session: {event.session}\")\n        case \"session.updated\":\n            print(\"Session updated\")\n        \n        # Audio input events\n        case \"input_audio_buffer.speech_started\":\n            print(f\"Speech started at {event.audio_start_ms}ms\")\n        case \"input_audio_buffer.speech_stopped\":\n            print(f\"Speech stopped at {event.audio_end_ms}ms\")\n        \n        # Transcription events\n        case \"conversation.item.input_audio_transcription.completed\":\n            print(f\"User said: {event.transcript}\")\n        case \"conversation.item.input_audio_transcription.delta\":\n            print(f\"Partial: {event.delta}\")\n        \n        # Response events\n        case \"response.created\":\n            print(f\"Response started: {event.response.id}\")\n        case \"response.audio_transcript.delta\":\n            print(event.delta, end=\"\", flush=True)\n        case \"response.audio.delta\":\n            audio = base64.b64decode(event.delta)\n        case \"response.done\":\n            print(f\"Response complete: {event.response.status}\")\n        \n        # Function calls\n        case \"response.function_call_arguments.done\":\n            result = handle_function(event.name, event.arguments)\n            await conn.conversation.item.create(item={\n                \"type\": \"function_call_output\",\n                \"call_id\": event.call_id,\n                \"output\": json.dumps(result)\n            })\n            await conn.response.create()\n        \n        # Errors\n        case \"error\":\n            print(f\"Error: {event.error.message}\")\n```\n\n## Common Patterns\n\n### Manual Turn Mode (No VAD)\n\n```python\nawait conn.session.update(session={\"turn_detection\": None})\n\n# Manually control turns\nawait conn.input_audio_buffer.append(audio=b64_audio)\nawait conn.input_audio_buffer.commit()  # End of user turn\nawait conn.response.create()  # Trigger response\n```\n\n### Interrupt Handling\n\n```python\nasync for event in conn:\n    if event.type == \"input_audio_buffer.speech_started\":\n        # User interrupted - cancel current response\n        await conn.response.cancel()\n        await conn.output_audio_buffer.clear()\n```\n\n### Conversation History\n\n```python\n# Add system message\nawait conn.conversation.item.create(item={\n    \"type\": \"message\",\n    \"role\": \"system\",\n    \"content\": [{\"type\": \"input_text\", \"text\": \"Be concise.\"}]\n})\n\n# Add user message\nawait conn.conversation.item.create(item={\n    \"type\": \"message\",\n    \"role\": \"user\", \n    \"content\": [{\"type\": \"input_text\", \"text\": \"Hello!\"}]\n})\n\nawait conn.response.create()\n```\n\n## Voice Options\n\n| Voice | Description |\n|-------|-------------|\n| `alloy` | Neutral, balanced |\n| `echo` | Warm, conversational |\n| `shimmer` | Clear, professional |\n| `sage` | Calm, authoritative |\n| `coral` | Friendly, upbeat |\n| `ash` | Deep, measured |\n| `ballad` | Expressive |\n| `verse` | Storytelling |\n\nAzure voices: Use `AzureStandardVoice`, `AzureCustomVoice`, or `AzurePersonalVoice` models.\n\n## Audio Formats\n\n| Format | Sample Rate | Use Case |\n|--------|-------------|----------|\n| `pcm16` | 24kHz | Default, high quality |\n| `pcm16-8000hz` | 8kHz | Telephony |\n| `pcm16-16000hz` | 16kHz | Voice assistants |\n| `g711_ulaw` | 8kHz | Telephony (US) |\n| `g711_alaw` | 8kHz | Telephony (EU) |\n\n## Turn Detection Options\n\n```python\n# Server VAD (default)\n{\"type\": \"server_vad\", \"threshold\": 0.5, \"silence_duration_ms\": 500}\n\n# Azure Semantic VAD (smarter detection)\n{\"type\": \"azure_semantic_vad\"}\n{\"type\": \"azure_semantic_vad_en\"}  # English optimized\n{\"type\": \"azure_semantic_vad_multilingual\"}\n```\n\n## Error Handling\n\n```python\nfrom azure.ai.voicelive.aio import ConnectionError, ConnectionClosed\n\ntry:\n    async with connect(...) as conn:\n        async for event in conn:\n            if event.type == \"error\":\n                print(f\"API Error: {event.error.code} - {event.error.message}\")\nexcept ConnectionClosed as e:\n    print(f\"Connection closed: {e.code} - {e.reason}\")\nexcept ConnectionError as e:\n    print(f\"Connection error: {e}\")\n```\n\n## References\n\n- **Detailed API Reference**: See [references\u002Fapi-reference.md](references\u002Fapi-reference.md)\n- **Complete Examples**: See [references\u002Fexamples.md](references\u002Fexamples.md)\n- **All Models & Types**: See [references\u002Fmodels.md](references\u002Fmodels.md)\n","# Azure AI Voice Live SDK\n\nBuild real-time voice AI applications with bidirectional WebSocket communication.\n\n## Installation\n\n```bash\npip install azure-ai-voicelive aiohttp azure-identity\n```\n\n## Environment Variables\n\n```bash\nAZURE_COGNITIVE_SERVICES_ENDPOINT=https:\u002F\u002F\u003Cregion>.api.cognitive.microsoft.com\n# For API key auth (not recommended for production)\nAZURE_COGNITIVE_SERVICES_KEY=\u003Capi-key>\n```\n\n## Authentication\n\n**DefaultAzureCredential (preferred)**:\n```python\nfrom azure.ai.voicelive.aio import connect\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync with connect(\n    endpoint=os.environ[\"AZURE_COGNITIVE_SERVICES_ENDPOINT\"],\n    credential=DefaultAzureCredential(),\n    model=\"gpt-4o-realtime-preview\",\n    credential_scopes=[\"https:\u002F\u002Fcognitiveservices.azure.com\u002F.default\"]\n) as conn:\n    ...\n```\n\n**API Key**:\n```python\nfrom azure.ai.voicelive.aio import connect\nfrom azure.core.credentials import AzureKeyCredential\n\nasync with connect(\n    endpoint=os.environ[\"AZURE_COGNITIVE_SERVICES_ENDPOINT\"],\n    credential=AzureKeyCredential(os.environ[\"AZURE_COGNITIVE_SERVICES_KEY\"]),\n    model=\"gpt-4o-realtime-preview\"\n) as conn:\n    ...\n```\n\n## Quick Start\n\n```python\nimport asyncio\nimport os\nfrom azure.ai.voicelive.aio import connect\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def main():\n    async with connect(\n        endpoint=os.environ[\"AZURE_COGNITIVE_SERVICES_ENDPOINT\"],\n        credential=DefaultAzureCredential(),\n        model=\"gpt-4o-realtime-preview\",\n        credential_scopes=[\"https:\u002F\u002Fcognitiveservices.azure.com\u002F.default\"]\n    ) as conn:\n        # Update session with instructions\n        await conn.session.update(session={\n            \"instructions\": \"You are a helpful assistant.\",\n            \"modalities\": [\"text\", \"audio\"],\n            \"voice\": \"alloy\"\n        })\n        \n        # Listen for events\n        async for event in conn:\n            print(f\"Event: {event.type}\")\n            if event.type == \"response.audio_transcript.done\":\n                print(f\"Transcript: {event.transcript}\")\n            elif event.type == \"response.done\":\n                break\n\nasyncio.run(main())\n```\n\n## Core Architecture\n\n### Connection Resources\n\nThe `VoiceLiveConnection` exposes these resources:\n\n| Resource | Purpose | Key Methods |\n|----------|---------|-------------|\n| `conn.session` | Session configuration | `update(session=...)` |\n| `conn.response` | Model responses | `create()`, `cancel()` |\n| `conn.input_audio_buffer` | Audio input | `append()`, `commit()`, `clear()` |\n| `conn.output_audio_buffer` | Audio output | `clear()` |\n| `conn.conversation` | Conversation state | `item.create()`, `item.delete()`, `item.truncate()` |\n| `conn.transcription_session` | Transcription config | `update(session=...)` |\n\n## Session Configuration\n\n```python\nfrom azure.ai.voicelive.models import RequestSession, FunctionTool\n\nawait conn.session.update(session=RequestSession(\n    instructions=\"You are a helpful voice assistant.\",\n    modalities=[\"text\", \"audio\"],\n    voice=\"alloy\",  # or \"echo\", \"shimmer\", \"sage\", etc.\n    input_audio_format=\"pcm16\",\n    output_audio_format=\"pcm16\",\n    turn_detection={\n        \"type\": \"server_vad\",\n        \"threshold\": 0.5,\n        \"prefix_padding_ms\": 300,\n        \"silence_duration_ms\": 500\n    },\n    tools=[\n        FunctionTool(\n            type=\"function\",\n            name=\"get_weather\",\n            description=\"Get current weather\",\n            parameters={\n                \"type\": \"object\",\n                \"properties\": {\n                    \"location\": {\"type\": \"string\"}\n                },\n                \"required\": [\"location\"]\n            }\n        )\n    ]\n))\n```\n\n## Audio Streaming\n\n### Send Audio (Base64 PCM16)\n\n```python\nimport base64\n\n# Read audio chunk (16-bit PCM, 24kHz mono)\naudio_chunk = await read_audio_from_microphone()\nb64_audio = base64.b64encode(audio_chunk).decode()\n\nawait conn.input_audio_buffer.append(audio=b64_audio)\n```\n\n### Receive Audio\n\n```python\nasync for event in conn:\n    if event.type == \"response.audio.delta\":\n        audio_bytes = base64.b64decode(event.delta)\n        await play_audio(audio_bytes)\n    elif event.type == \"response.audio.done\":\n        print(\"Audio complete\")\n```\n\n## Event Handling\n\n```python\nasync for event in conn:\n    match event.type:\n        # Session events\n        case \"session.created\":\n            print(f\"Session: {event.session}\")\n        case \"session.updated\":\n            print(\"Session updated\")\n        \n        # Audio input events\n        case \"input_audio_buffer.speech_started\":\n            print(f\"Speech started at {event.audio_start_ms}ms\")\n        case \"input_audio_buffer.speech_stopped\":\n            print(f\"Speech stopped at {event.audio_end_ms}ms\")\n        \n        # Transcription events\n        case \"conversation.item.input_audio_transcription.completed\":\n            print(f\"User said: {event.transcript}\")\n        case \"conversation.item.input_audio_transcription.delta\":\n            print(f\"Partial: {event.delta}\")\n        \n        # Response events\n        case \"response.created\":\n            print(f\"Response started: {event.response.id}\")\n        case \"response.audio_transcript.delta\":\n            print(event.delta, end=\"\", flush=True)\n        case \"response.audio.delta\":\n            audio = base64.b64decode(event.delta)\n        case \"response.done\":\n            print(f\"Response complete: {event.response.status}\")\n        \n        # Function calls\n        case \"response.function_call_arguments.done\":\n            result = handle_function(event.name, event.arguments)\n            await conn.conversation.item.create(item={\n                \"type\": \"function_call_output\",\n                \"call_id\": event.call_id,\n                \"output\": json.dumps(result)\n            })\n            await conn.response.create()\n        \n        # Errors\n        case \"error\":\n            print(f\"Error: {event.error.message}\")\n```\n\n## Common Patterns\n\n### Manual Turn Mode (No VAD)\n\n```python\nawait conn.session.update(session={\"turn_detection\": None})\n\n# Manually control turns\nawait conn.input_audio_buffer.append(audio=b64_audio)\nawait conn.input_audio_buffer.commit()  # End of user turn\nawait conn.response.create()  # Trigger response\n```\n\n### Interrupt Handling\n\n```python\nasync for event in conn:\n    if event.type == \"input_audio_buffer.speech_started\":\n        # User interrupted - cancel current response\n        await conn.response.cancel()\n        await conn.output_audio_buffer.clear()\n```\n\n### Conversation History\n\n```python\n# Add system message\nawait conn.conversation.item.create(item={\n    \"type\": \"message\",\n    \"role\": \"system\",\n    \"content\": [{\"type\": \"input_text\", \"text\": \"Be concise.\"}]\n})\n\n# Add user message\nawait conn.conversation.item.create(item={\n    \"type\": \"message\",\n    \"role\": \"user\", \n    \"content\": [{\"type\": \"input_text\", \"text\": \"Hello!\"}]\n})\n\nawait conn.response.create()\n```\n\n## Voice Options\n\n| Voice | Description |\n|-------|-------------|\n| `alloy` | Neutral, balanced |\n| `echo` | Warm, conversational |\n| `shimmer` | Clear, professional |\n| `sage` | Calm, authoritative |\n| `coral` | Friendly, upbeat |\n| `ash` | Deep, measured |\n| `ballad` | Expressive |\n| `verse` | Storytelling |\n\nAzure voices: Use `AzureStandardVoice`, `AzureCustomVoice`, or `AzurePersonalVoice` models.\n\n## Audio Formats\n\n| Format | Sample Rate | Use Case |\n|--------|-------------|----------|\n| `pcm16` | 24kHz | Default, high quality |\n| `pcm16-8000hz` | 8kHz | Telephony |\n| `pcm16-16000hz` | 16kHz | Voice assistants |\n| `g711_ulaw` | 8kHz | Telephony (US) |\n| `g711_alaw` | 8kHz | Telephony (EU) |\n\n## Turn Detection Options\n\n```python\n# Server VAD (default)\n{\"type\": \"server_vad\", \"threshold\": 0.5, \"silence_duration_ms\": 500}\n\n# Azure Semantic VAD (smarter detection)\n{\"type\": \"azure_semantic_vad\"}\n{\"type\": \"azure_semantic_vad_en\"}  # English optimized\n{\"type\": \"azure_semantic_vad_multilingual\"}\n```\n\n## Error Handling\n\n```python\nfrom azure.ai.voicelive.aio import ConnectionError, ConnectionClosed\n\ntry:\n    async with connect(...) as conn:\n        async for event in conn:\n            if event.type == \"error\":\n                print(f\"API Error: {event.error.code} - {event.error.message}\")\nexcept ConnectionClosed as e:\n    print(f\"Connection closed: {e.code} - {e.reason}\")\nexcept ConnectionError as e:\n    print(f\"Connection error: {e}\")\n```\n\n## References\n\n- **Detailed API Reference**: See [references\u002Fapi-reference.md](references\u002Fapi-reference.md)\n- **Complete Examples**: See [references\u002Fexamples.md](references\u002Fexamples.md)\n- **All Models & Types**: See [references\u002Fmodels.md](references\u002Fmodels.md)\n",{"name":5,"package":51,"description":7},"azure-ai-voicelive","main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fthegovind\u002Fazure-ai-voicelive-py",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add kbarbel640-del\u002Fskills --skill azure-ai-voicelive-py",{"tool":65,"command":66},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill azure-ai-voicelive-py",{"tool":68,"command":69},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill azure-ai-voicelive-py","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fthegovind\u002Fazure-ai-voicelive-py\u002FSKILL.md",true,[73,79,83,87],{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"_meta.json","REFERENCE","参考文档",297,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fthegovind\u002Fazure-ai-voicelive-py\u002F_meta.json",{"path":80,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":81,"sourceHtmlUrl":82},"references\u002Fapi-reference.md",8910,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fthegovind\u002Fazure-ai-voicelive-py\u002Freferences\u002Fapi-reference.md",{"path":84,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":85,"sourceHtmlUrl":86},"references\u002Fexamples.md",17345,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fthegovind\u002Fazure-ai-voicelive-py\u002Freferences\u002Fexamples.md",{"path":88,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fmodels.md",18415,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fthegovind\u002Fazure-ai-voicelive-py\u002Freferences\u002Fmodels.md",[92,123,148,169,175,195],{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":103,"publishedAt":46},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[98],{"categoryNo":99,"categoryName":100,"taxonomyType":101,"taxonomyTypeDesc":102},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":130,"publishedAt":46},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[129],{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},[131,106,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,111,147],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking","use",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":157,"publishedAt":46},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[154],{"categoryNo":155,"categoryName":156,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究",[158,159,160,161,162,163,164,107,165,145,147,166,106,167,168],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":170,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":174,"publishedAt":46},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[173],{"categoryNo":155,"categoryName":156,"taxonomyType":20,"taxonomyTypeDesc":21},[161,160,159,158,168,163,164,107,162,145,147,165,166,106,167],{"skillNo":176,"name":177,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":181,"publishedAt":46},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[182,183,184,185,186,187,188,189,190,191,192,193,194],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":196,"name":197,"nameZh":6,"description":198,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":199,"categories":200,"keywords":205,"publishedAt":46},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[201,202],{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":203,"categoryName":204,"taxonomyType":101,"taxonomyTypeDesc":102},"01JBSEEDCAT000000000000037","律师与法务",[206,207,208,209,107,210,211,52,212,166,213,214,215,216,217,120,218,219,220],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]