[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71B7P7GR7ADKXRDZZFFXADK":3,"skill-same:01M71B7P7GR7ADKXRDZZFFXADK":75},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M71B7P7GR7ADKXRDZZFFXADK","azure-ai-transcription-py",null,"Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.\nTriggers: \"transcription\", \"speech to text\", \"Azure AI Transcription\", \"TranscriptionClient\".","strmt7\u002Fai_skills_collection_benchmarked","strmt7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F28989754?v=4","01M71929P914SWKQ7QJV24NBBY","Stratos","01M71929Q9VGKQ7PWYR95VSQQQ",1,"MIT","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fazure-ai-transcription-py\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"azure ai","azure","azure ai transcription py","transcription","text","for","timestamps","with","triggers","time","speech-to-text","use","speech to text","python","real-time","batch","speech","microsoft","sdk","2026-11-10 10:12:30",false,"---\nname: azure-ai-transcription-py\ndescription: |\n  Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.\n  Triggers: \"transcription\", \"speech to text\", \"Azure AI Transcription\", \"TranscriptionClient\".\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: azure-ai-transcription\n---\n\n# Azure AI Transcription SDK for Python\n\nClient library for Azure AI Transcription (speech-to-text) with real-time and batch transcription.\n\n## Installation\n\n```bash\npip install azure-ai-transcription\n```\n\n## Environment Variables\n\n```bash\nTRANSCRIPTION_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\nTRANSCRIPTION_KEY=\u003Cyour-key>\n```\n\n## Authentication\n\nUse subscription key authentication (DefaultAzureCredential is not supported for this client):\n\n```python\nimport os\nfrom azure.ai.transcription import TranscriptionClient\n\nclient = TranscriptionClient(\n    endpoint=os.environ[\"TRANSCRIPTION_ENDPOINT\"],\n    credential=os.environ[\"TRANSCRIPTION_KEY\"]\n)\n```\n\n## Transcription (Batch)\n\n```python\njob = client.begin_transcription(\n    name=\"meeting-transcription\",\n    locale=\"en-US\",\n    content_urls=[\"https:\u002F\u002F\u003Cstorage>\u002Faudio.wav\"],\n    diarization_enabled=True\n)\nresult = job.result()\nprint(result.status)\n```\n\n## Transcription (Real-time)\n\n```python\nstream = client.begin_stream_transcription(locale=\"en-US\")\nstream.send_audio_file(\"audio.wav\")\nfor event in stream:\n    print(event.text)\n```\n\n## Best Practices\n\n1. **Enable diarization** when multiple speakers are present\n2. **Use batch transcription** for long files stored in blob storage\n3. **Capture timestamps** for subtitle generation\n4. **Specify language** to improve recognition accuracy\n5. **Handle streaming backpressure** for real-time transcription\n6. **Close transcription sessions** when complete\n","# Azure AI Transcription SDK for Python\n\nClient library for Azure AI Transcription (speech-to-text) with real-time and batch transcription.\n\n## Installation\n\n```bash\npip install azure-ai-transcription\n```\n\n## Environment Variables\n\n```bash\nTRANSCRIPTION_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\nTRANSCRIPTION_KEY=\u003Cyour-key>\n```\n\n## Authentication\n\nUse subscription key authentication (DefaultAzureCredential is not supported for this client):\n\n```python\nimport os\nfrom azure.ai.transcription import TranscriptionClient\n\nclient = TranscriptionClient(\n    endpoint=os.environ[\"TRANSCRIPTION_ENDPOINT\"],\n    credential=os.environ[\"TRANSCRIPTION_KEY\"]\n)\n```\n\n## Transcription (Batch)\n\n```python\njob = client.begin_transcription(\n    name=\"meeting-transcription\",\n    locale=\"en-US\",\n    content_urls=[\"https:\u002F\u002F\u003Cstorage>\u002Faudio.wav\"],\n    diarization_enabled=True\n)\nresult = job.result()\nprint(result.status)\n```\n\n## Transcription (Real-time)\n\n```python\nstream = client.begin_stream_transcription(locale=\"en-US\")\nstream.send_audio_file(\"audio.wav\")\nfor event in stream:\n    print(event.text)\n```\n\n## Best Practices\n\n1. **Enable diarization** when multiple speakers are present\n2. **Use batch transcription** for long files stored in blob storage\n3. **Capture timestamps** for subtitle generation\n4. **Specify language** to improve recognition accuracy\n5. **Handle streaming backpressure** for real-time transcription\n6. **Close transcription sessions** when complete\n",{"name":5,"license":15,"metadata":43,"description":47},{"author":44,"package":45,"version":46},"Microsoft","azure-ai-transcription","1.0.0","Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.\nTriggers: \"transcription\", \"speech to text\", \"Azure AI Transcription\", \"TranscriptionClient\".\n","main","5c95bcac4646c5aed06bd9aed5235cfc7985aafc","included\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fazure-ai-transcription-py",0,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked","https:\u002F\u002Fgithub.com\u002Fstrmt7","2026-11-11 04:18:12",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add strmt7\u002Fai_skills_collection_benchmarked --skill azure-ai-transcription-py",{"tool":61,"command":62},"bunx","bunx skills add strmt7\u002Fai_skills_collection_benchmarked --skill azure-ai-transcription-py",{"tool":64,"command":65},"pnpm","pnpm dlx skills add strmt7\u002Fai_skills_collection_benchmarked --skill azure-ai-transcription-py","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fazure-ai-transcription-py\u002FSKILL.md",true,[69],{"path":70,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":73,"sourceHtmlUrl":74},"references\u002Facceptance-criteria.md","REFERENCE","参考文档",16445,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fazure-ai-transcription-py\u002Freferences\u002Facceptance-criteria.md",[76,108,138,163,188,216],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":80,"licenseFileUrl":81,"sourceHtmlUrl":82,"categories":83,"keywords":92,"publishedAt":38},"01M71D4H3T6M57DFKN8HENAWRV","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002FSKILL.md",[84,89],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":90,"categoryName":91,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000009","前端开发",[93,94,95,24,96,97,98,99,100,101,102,26,103,104,105,106,107],"webapp","testing","webapp testing","applications","local","frontend","debugging","toolkit","logs","browser","playwright","web","behavior","ui","screenshots",{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":80,"licenseFileUrl":112,"sourceHtmlUrl":113,"categories":114,"keywords":118,"publishedAt":38},"01M71D4CQR2A2TB7GASCR5ZBG3","skill-creator","Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fskill-creator-anthropics\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fskill-creator-anthropics\u002FSKILL.md",[115],{"categoryNo":116,"categoryName":117,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000023","Skill与智能体开发",[119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,24,137],"skill creator","creator","performance","improve","run evals","new","when","analysis","create","optimize","variance analysis","run","edit","benchmark","a skill","existing skill","evals","modify","accuracy",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":146,"publishedAt":38},"01M71D488XHEZVXXSXFYP8ENMH","playwright-skill","Complete browser automation with Playwright. Auto-detects dev servers, writes reusable test scripts, and supports screenshots, responsive checks, UX validation, login flows, link checks, and arbitrary browser automation. Use when the user wants to test a website, automate browser interactions, validate web functionality, or perform browser-based testing.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Flatest-release-browser-automation\u002Fplaywright-skill\u002FSKILL.md",[144,145],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},{"categoryNo":116,"categoryName":117,"taxonomyType":87,"taxonomyTypeDesc":88},[103,147,148,149,94,150,151,125,152,102,153,154,155,156,157,158,159,160,161,162],"playwright skill","browser automation","flows","auto","access","Bash","website","ux","login","scripts","read","write","node","install","network","responsive",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":80,"licenseFileUrl":167,"sourceHtmlUrl":168,"categories":169,"keywords":171,"publishedAt":38},"01M71CY25GM939M6RES91QSG3T","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FSKILL.md",[170],{"categoryNo":90,"categoryName":91,"taxonomyType":87,"taxonomyTypeDesc":88},[172,173,174,104,175,176,177,24,178,179,98,180,30,181,182,183,184,185,186,187],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","multi","state","routing","state management",{"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":80,"licenseFileUrl":192,"sourceHtmlUrl":193,"categories":194,"keywords":204,"publishedAt":38},"01M71CXZB60QJJ1H4S3NN94WMZ","frontend-design","Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML\u002FCSS layouts, or when styling\u002Fbeautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FSKILL.md",[195,196,199],{"categoryNo":90,"categoryName":91,"taxonomyType":87,"taxonomyTypeDesc":88},{"categoryNo":197,"categoryName":198,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":200,"categoryName":201,"taxonomyType":202,"taxonomyTypeDesc":203},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[98,205,206,177,207,208,209,96,210,211,30,125,174,212,182,213,183,214,215,26],"design","frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":217,"name":218,"nameZh":6,"description":219,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":220,"categories":221,"keywords":222,"publishedAt":38},"01M71CVZ54WFBTVA7R16PFY1ZE","zarr-python","Chunked N-D arrays for cloud storage. Compressed arrays, parallel I\u002FO, S3\u002FGCS integration, NumPy\u002FDask\u002FXarray compatible, for large-scale scientific computing pipelines.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fzarr-python\u002FSKILL.md",[],[223,32,224,225,226,227,228,229,230,24,231,232,233,234,235,236,237,238],"zarr python","zarr","arrays","Cloud Storage","scientific","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines"]