[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:71:":195},[4,15,22,29,36,43],{"categoryNo":5,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":8,"categoryNameEn":9,"description":10,"level":11,"skillCount":12,"parentNo":13,"parentName":13,"children":14},"01JBSEEDCAT000000000000030","PROFESSION","适用职业","开发工程师","Software Engineer","从事软件编码、测试与运维的工程师",1,13276,null,[],{"categoryNo":16,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":17,"categoryNameEn":18,"description":19,"level":11,"skillCount":20,"parentNo":13,"parentName":13,"children":21},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7776,[],{"categoryNo":23,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":24,"categoryNameEn":25,"description":26,"level":11,"skillCount":27,"parentNo":13,"parentName":13,"children":28},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4988,[],{"categoryNo":30,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":31,"categoryNameEn":32,"description":33,"level":11,"skillCount":34,"parentNo":13,"parentName":13,"children":35},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3940,[],{"categoryNo":37,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":38,"categoryNameEn":39,"description":40,"level":11,"skillCount":41,"parentNo":13,"parentName":13,"children":42},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3449,[],{"categoryNo":44,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":45,"categoryNameEn":46,"description":47,"level":11,"skillCount":48,"parentNo":13,"parentName":13,"children":49},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3317,[],[51,60,67,74,81,88],{"categoryNo":52,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":55,"categoryNameEn":56,"description":57,"level":11,"skillCount":58,"parentNo":13,"parentName":13,"children":59},"01JBSEEDCAT000000000000022","SCENARIO","使用场景","智能体与自动化","Agents & Automation","Skill、MCP、智能体与工作流自动化",39462,[],{"categoryNo":61,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":62,"categoryNameEn":63,"description":64,"level":11,"skillCount":65,"parentNo":13,"parentName":13,"children":66},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26546,[],{"categoryNo":68,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":69,"categoryNameEn":70,"description":71,"level":11,"skillCount":72,"parentNo":13,"parentName":13,"children":73},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13572,[],{"categoryNo":75,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":76,"categoryNameEn":77,"description":78,"level":11,"skillCount":79,"parentNo":13,"parentName":13,"children":80},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6291,[],{"categoryNo":82,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":83,"categoryNameEn":84,"description":85,"level":11,"skillCount":86,"parentNo":13,"parentName":13,"children":87},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6033,[],{"categoryNo":89,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":90,"categoryNameEn":91,"description":92,"level":11,"skillCount":93,"parentNo":13,"parentName":13,"children":94},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5531,[],{"records":96,"total":191,"current":11,"size":192},[97,111,120,130,140,150,160,169,179],{"accountNo":98,"login":99,"displayName":100,"avatarUrl":101,"accountType":102,"accountTypeDesc":103,"profileDescription":104,"skillCount":105,"repoCount":106,"professionCount":107,"scenarioCount":108,"totalStars":109,"updatedAt":110},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4166,229,11,7,828075,"2026-11-12 04:48:47",{"accountNo":112,"login":113,"displayName":113,"avatarUrl":114,"accountType":102,"accountTypeDesc":103,"profileDescription":115,"skillCount":116,"repoCount":117,"professionCount":108,"scenarioCount":108,"totalStars":118,"updatedAt":119},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437637,"2026-11-12 03:04:11",{"accountNo":121,"login":122,"displayName":123,"avatarUrl":124,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":125,"repoCount":126,"professionCount":108,"scenarioCount":127,"totalStars":128,"updatedAt":129},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,341786,"2026-11-12 03:20:15",{"accountNo":131,"login":132,"displayName":133,"avatarUrl":134,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":135,"repoCount":136,"professionCount":137,"scenarioCount":108,"totalStars":138,"updatedAt":139},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",420,75,8,298091,"2026-11-12 05:32:19",{"accountNo":141,"login":142,"displayName":143,"avatarUrl":144,"accountType":102,"accountTypeDesc":103,"profileDescription":145,"skillCount":146,"repoCount":147,"professionCount":107,"scenarioCount":108,"totalStars":148,"updatedAt":149},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",535,48,241637,"2026-11-12 03:57:04",{"accountNo":151,"login":152,"displayName":153,"avatarUrl":154,"accountType":102,"accountTypeDesc":103,"profileDescription":155,"skillCount":156,"repoCount":157,"professionCount":107,"scenarioCount":108,"totalStars":158,"updatedAt":159},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",936,27,238133,"2026-11-12 03:23:28",{"accountNo":161,"login":162,"displayName":163,"avatarUrl":164,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":165,"repoCount":166,"professionCount":107,"scenarioCount":108,"totalStars":167,"updatedAt":168},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,231455,"2026-11-12 03:40:35",{"accountNo":170,"login":171,"displayName":172,"avatarUrl":173,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":174,"repoCount":175,"professionCount":176,"scenarioCount":108,"totalStars":177,"updatedAt":178},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,187999,"2026-11-12 03:17:01",{"accountNo":180,"login":181,"displayName":182,"avatarUrl":183,"accountType":184,"accountTypeDesc":185,"profileDescription":186,"skillCount":187,"repoCount":188,"professionCount":127,"scenarioCount":108,"totalStars":189,"updatedAt":190},"01M6DJCCDDG53MTYYRTXAXFG17","garrytan","Garry Tan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","USER","个人作者","Writes software, dreams. ",324,3,174404,"2026-11-12 05:14:59",1905,9,{"skillCount":194,"professionCount":107,"scenarioCount":108,"creatorCount":191},196628,{"records":196,"total":194,"current":634,"size":635},[197,237,268,294,318,337,362,378,393,420,446,470,490,515,535,562,586,606],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":205,"categories":206,"keywords":210,"publishedAt":236},"01M6ADJQKW0XJSGKHJGZ2GBZBS","flowstudio-power-automate-mcp","Foundation skill for Power Automate via FlowStudio MCP — auth setup, the reusable MCP helper (Python + Node.js), tool discovery via `list_skills` \u002F `tool_search`, and oversized-response handling. Load this skill first when connecting an agent to Power Automate. For specialized workflows, load `flowstudio-power-automate-build`, `flowstudio-power-automate-debug`, `flowstudio-power-automate-monitoring` (Pro+), or `flowstudio-power-automate-governance` (Pro+) — each contains the workflow narrative, this skill provides the plumbing they all rely on. Requires a FlowStudio MCP subscription or compatible server — see https:\u002F\u002Fmcp.flowstudio.app","github\u002Fawesome-copilot","01M6AD3PBDYPK7NVFJNJ66Y8RS",41046,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fflowstudio-power-automate-mcp\u002FSKILL.md",[207],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",[211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235],"MCP","flowstudio power automate mcp","automate","power","power automate mcp","python","workflow","workflows","auth","setup","debug","governance","search","https","monitoring","server","discovery","node","specialized","list","app","tool discovery","narrative","for","when","2026-11-10 10:12:30",{"skillNo":238,"name":239,"nameZh":13,"description":240,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":241,"categories":242,"keywords":245,"publishedAt":236},"01M6ADJM9GRW4D45FZNWR6F5S9","flowstudio-power-automate-governance","Govern Power Automate flows and Power Apps at scale using the FlowStudio MCP cached store. Classify flows by business impact, detect orphaned resources, audit connector usage, enforce compliance standards, manage notification rules, and compute governance scores — all without Dataverse or the CoE Starter Kit. Load this skill when asked to: tag or classify flows, set business impact, assign ownership, detect orphans, audit connectors, check compliance, compute archive scores, manage notification rules, run a governance review, generate a compliance report, offboard a maker, or any task that involves writing governance metadata to flows. Requires a FlowStudio for Teams or MCP Pro+ subscription — see https:\u002F\u002Fmcp.flowstudio.app","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fflowstudio-power-automate-governance\u002FSKILL.md",[243,244],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":44,"categoryName":45,"taxonomyType":6,"taxonomyTypeDesc":7},[222,246,213,214,247,211,248,249,250,251,252,253,254,255,256,257,224,258,259,260,261,262,231,263,264,265,266,267,235],"flowstudio power automate governance","power automate governance","writing","review","dataverse","power apps","connectors","teams","generate","run","report","metadata","audit","SET","Connector","maker","classify","apps","impact","resources","flows","kit",{"skillNo":269,"name":270,"nameZh":13,"description":271,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":272,"categories":273,"keywords":276,"publishedAt":236},"01M6ADJH1R4GRN0NAQZRA0X8H5","flowstudio-power-automate-debug","Debug failing Power Automate cloud flows using the FlowStudio MCP server. The Graph API only shows top-level status codes. This skill gives your agent action-level inputs and outputs to find the actual root cause. Load this skill when asked to: debug a flow, investigate a failed run, why is this flow failing, inspect action outputs, find the root cause of a flow error, fix a broken Power Automate flow, diagnose a timeout, trace a DynamicOperationRequestFailure, check connector auth errors, read error details from a run, or troubleshoot expression failures. Requires a FlowStudio MCP subscription — see https:\u002F\u002Fmcp.flowstudio.app","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fflowstudio-power-automate-debug\u002FSKILL.md",[274,275],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[221,277,213,214,278,211,279,280,219,281,282,255,283,224,226,284,285,286,287,288,231,289,290,266,291,292,235,293],"flowstudio power automate debug","power automate debug","mcp server","troubleshoot","status","diagnose","graph","cloud","api","broken","fix","only","expression","error","errors","inspect","failing",{"skillNo":295,"name":296,"nameZh":13,"description":297,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":298,"categories":299,"keywords":304,"publishedAt":236},"01M6ADJDBCREKRN8605HFCN0K4","flowstudio-power-automate-build","Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https:\u002F\u002Fmcp.flowstudio.app","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fflowstudio-power-automate-build\u002FSKILL.md",[300,303],{"categoryNo":301,"categoryName":302,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},[305,213,214,306,307,211,279,217,308,309,310,254,311,224,226,284,312,313,314,315,231,266,316,235,317],"flowstudio power automate build","build","power automate build","deploy","scaffold","create","update","actions","up","patch","constructs","definition","new",{"skillNo":319,"name":320,"nameZh":13,"description":321,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":322,"categories":323,"keywords":324,"publishedAt":236},"01M6ADJB5D2326M7NPRQY03F71","first-ask","Interactive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Ffirst-ask\u002FSKILL.md",[],[325,326,327,217,328,329,330,331,332,333,334,335,336],"first ask","first","ask","constraints","tool","interactive","task","extension","input","scope","deliverables","refinement",{"skillNo":338,"name":339,"nameZh":13,"description":340,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":341,"categories":342,"keywords":343,"publishedAt":236},"01M6ADJ8XFV9N5M7X71DYT071N","finnish-humanizer","Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to \"humanize\", \"naturalize\", or \"remove AI feel\" from Finnish text, or when editing .md\u002F.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific + 14 universal) and 4 style markers.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Ffinnish-humanizer\u002FSKILL.md",[],[344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,235],"humanizer","finnish humanizer","content","text","editing","generated","remove","use","files","naturalize","humanize","patterns","style","markers","detect","it","native","sound",{"skillNo":363,"name":364,"nameZh":13,"description":365,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":366,"categories":367,"keywords":369,"publishedAt":236},"01M6ADJ6DX8PVSHWRW6GX71HFJ","finalize-agent-prompt","Finalize prompt file using the role of an AI agent to polish the prompt for the end user.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Ffinalize-agent-prompt\u002FSKILL.md",[368],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},[370,371,372,373,374,375,376,377,234],"finalize agent prompt","prompt","ai agent","file","polish","user","end","role",{"skillNo":379,"name":380,"nameZh":13,"description":381,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":382,"categories":383,"keywords":384,"publishedAt":236},"01M6ADJ4B6DKEMDERSVYBSKHVV","fedora-linux-triage","Triage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Ffedora-linux-triage\u002FSKILL.md",[],[385,386,387,388,389,390,391,392],"linux","triage","fedora linux triage","fedora","issues","systemd","guidance","with",{"skillNo":394,"name":395,"nameZh":13,"description":396,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":397,"categories":398,"keywords":400,"publishedAt":236},"01M6ADJ1AGS4FG425F52JPDQCA","fabric-lakehouse","Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Ffabric-lakehouse\u002FSKILL.md",[399],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},[401,402,403,404,405,406,407,408,409,410,411,351,412,413,414,415,416,417,234,418,419],"fabric","lakehouse","fabric lakehouse","components","code","best practices","get context","examples","data","access","context","functions","organization","get","Access Control","software","users","features","solutions",{"skillNo":421,"name":422,"nameZh":13,"description":423,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":424,"categories":425,"keywords":429,"publishedAt":236},"01M6ADHYTP3AWBAFGWKDYSG9A6","eyeball","Document analysis with inline source screenshots. When you ask Copilot to analyze a document, Eyeball generates a Word doc where every factual claim includes a highlighted screenshot from the source material so you can verify it with your own eyes.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Feyeball\u002FSKILL.md",[426],{"categoryNo":427,"categoryName":428,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000002","文档处理",[422,430,431,432,433,434,435,436,327,437,438,439,440,392,441,442,443,444,445,235],"screenshots","copilot","screenshot","doc","analysis","Word","analyze","eyes","document","claim","material","you","ask copilot","can","source","inline",{"skillNo":447,"name":448,"nameZh":13,"description":449,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":450,"categories":451,"keywords":453,"publishedAt":236},"01M6ADHTYMG4HZ6X2FJZR3XMW1","excalidraw-diagram-generator","Generate Excalidraw diagrams from natural language descriptions. Use when asked to \"create a diagram\", \"make a flowchart\", \"visualize a process\", \"draw a system architecture\", \"create a mind map\", or \"generate an Excalidraw file\". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fexcalidraw-diagram-generator\u002FSKILL.md",[452],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},[454,455,456,457,458,459,460,461,462,463,310,254,373,464,352,465,466,467,468,469,235],"excalidraw diagram","diagram","excalidraw diagram generator","excalidraw","diagram generator","generator","visualize","architecture","flowchart","architecture diagrams","diagrams","maps","natural language","relationship","map","make",{"skillNo":471,"name":472,"nameZh":13,"description":473,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":474,"categories":475,"keywords":478,"publishedAt":236},"01M6ADHREP90A5SJQHTP57DNF8","exam-ready","Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam. Extracts key definitions, points, keywords, diagrams, exam-ready sentences, and practice questions strictly from the provided material.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fexam-ready\u002FSKILL.md",[476,477],{"categoryNo":427,"categoryName":428,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},[479,480,481,482,483,484,485,464,486,487,440,488,234,489,235],"exam ready","ready","exam","PDF","prepare","notes","syllabus","activate","study","questions","student",{"skillNo":491,"name":492,"nameZh":13,"description":493,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":494,"categories":495,"keywords":497,"publishedAt":236},"01M6ADHM6Q2V593599DBFG8JSH","eval-driven-dev","Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Feval-driven-dev\u002FSKILL.md",[496],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},[498,499,500,501,216,152,502,503,504,505,224,506,259,507,508,436,509,287,313,510,511,512,513,514,235],"dev","eval driven dev","eval","driven","development","benchmark","qa","produce","Evaluation","improve","plan","model","observe","project","python project","analyze results","action",{"skillNo":516,"name":517,"nameZh":13,"description":518,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":519,"categories":520,"keywords":522,"publishedAt":236},"01M6ADHH3M4AQ2DM2NDMXEG97T","entra-agent-user","Create Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fentra-agent-user\u002FSKILL.md",[521],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},[523,375,524,99,525,526,527,528,310,529,530,531,532,533,417,392,534],"entra agent user","ai agents","create agent","identity","entra id","azure","capabilities","workers","act","as","id","environments",{"skillNo":536,"name":537,"nameZh":13,"description":538,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":539,"categories":540,"keywords":542,"publishedAt":236},"01M6EXY4HBS7FREWTEQCW2AJ6B","embedding-anisotropy-check","Use before reporting any cosine similarity computed over embeddings or transformer hidden states, whether the agent computed the vectors or loaded them. Measures the anisotropy of each side, centres by the population mean, and scores matched pairs against a permuted floor taken from the same comparison. Use when comparing one model's embeddings across precisions, runtimes or layers, when evaluating retrieval, probes or adapters, or before calling a similarity high, two conditions in agreement, or a small gap a null.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fembedding-anisotropy-check\u002FSKILL.md",[541],{"categoryNo":208,"categoryName":209,"taxonomyType":53,"taxonomyTypeDesc":54},[543,544,545,216,546,547,509,351,548,549,550,551,552,553,554,555,556,557,558,392,559,560,235,561],"check","embedding","embedding anisotropy check","embeddings","reporting","calling","numpy","across","vectors","gap","similarity","retrieval","Transformer","runtimes","comparison","states","high","layers","agreement",{"skillNo":563,"name":564,"nameZh":13,"description":565,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":566,"categories":567,"keywords":571,"publishedAt":236},"01M6ADHEJBEAGCRA3JQ89XZT6J","email-drafter","Draft and review professional emails that match your personal writing style. Analyzes your sent emails for tone, greeting, structure, and sign-off patterns via WorkIQ, then generates context-aware drafts for any recipient. USE FOR: draft email, write email, compose email, reply email, follow-up email, analyze email tone, email style.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Femail-drafter\u002FSKILL.md",[568],{"categoryNo":569,"categoryName":570,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000005","邮件与沟通",[572,573,248,574,249,575,436,351,313,576,577,578,579,580,581,582,583,356,584,585,234],"email","email drafter","personal","workiq","compose","greeting","writing style","structure","draft","sign","tone","emails","via","professional",{"skillNo":587,"name":588,"nameZh":13,"description":589,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":590,"categories":591,"keywords":592,"publishedAt":236},"01M6ADHC1BWMCH7PK88EW9QZNW","em-dash","Expert on the history, origin, and correct use of the em dash. Use when writing or reviewing code, comments, or data files to avoid em and en dashes, defaulting to never using them and replacing any found with a hyphen (-). Includes strong knowledge of punctuation marks and the proper usage of punctuation characters when writing comments.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fem-dash\u002FSKILL.md",[],[593,594,248,405,409,595,596,597,351,598,599,352,600,601,602,392,603,604,605,235],"em dash","dash","knowledge","correct","history","never","en","expert","origin","reviewing code","comments","usage","characters",{"skillNo":607,"name":608,"nameZh":13,"description":609,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":152,"ownerAvatarUrl":154,"ownerAccountNo":151,"ownerDisplayName":153,"repositoryNo":202,"starsCount":203,"licenseSpdxId":204,"licenseFileUrl":13,"sourceHtmlUrl":610,"categories":611,"keywords":615,"publishedAt":236},"01M6ADH8MA9FCG5C69PJN14N0Z","efcore-d2-db-diagram","Generate D2 database diagrams from Entity Framework Core models. USE FOR: EF Core database diagram, Entity Framework Core ERD, DbContext diagram, C# entity relationship diagram, PostgreSQL schema visualization, generate .d2 file from EF Core entities, Fluent API mapping diagram, migrations-based database diagram, table relationships, owned types, many-to-many join tables, indexes and constraints. DO NOT USE FOR: runtime debugging, database migration execution, schema deployment, SQL performance tuning, or draw.io diagrams.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fefcore-d2-db-diagram\u002FSKILL.md",[612],{"categoryNo":613,"categoryName":614,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000010","后端与接口",[455,616,617,618,619,620,621,622,623,624,254,625,626,627,628,373,629,285,630,464,467,631,632,633],"efcore d2 db diagram","d2","db","performance","fluent","sql","deployment","debugging","core","visualization","framework","database","postgresql","ef core","framework core","io","join","types",71,18]