[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M69B9B40C4FHECS223FPFPJF":3,"skill-same:01M69B9B40C4FHECS223FPFPJF":74},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":57,"ownerDescription":58,"updatedAt":59,"install":60,"resources":73},"01M69B9B40C4FHECS223FPFPJF","fabric-cli",null,"How to use fabric-app-data CLI to manage Fabric data source connections. Maintain workspace\u002Fitem IDs in a fabric.yaml file with profiles, add connections by ID or Fabric portal URL, and generate TypeScript config for use with @microsoft\u002Ffabric-app-data.","microsoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M69B8Z0F3707XGBWWZMXZN2S",11,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots\u002Fblob\u002Fmain\u002Fapp\u002F.agents\u002Fskills\u002Ffabric-cli\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,9,43],"fabric cli","fabric","cli","how","source","for","profiles","URL","add","how to","app","connections","maintain","manage","ids","data","fabric data","generate","config","typescript","2026-11-10 10:12:30",false,"---\nname: predictive-alerts\ndescription: Use when a production supervisor asks which assets deserve condition review.\n---\n# Predictive alerts\n\n## Use\n\nUse when a production supervisor asks which assets deserve condition review.\n\n## Procedure\n\n1. Use only the uploaded synthetic records and fixed review rules.\n2. Rank synthetic risk signals without controlling equipment.\n3. Cite the stable synthetic identifiers that support the conclusion.\n4. Separate evidence, recommendation, and required authorization.\n5. State that exact figures and identifiers are synthetic pilot evidence.\n\n## Safety boundary\n\nThe agent never controls equipment or creates, assigns, schedules, or dispatches maintenance work. Do not claim a completed external side effect without an approved connected tool and authorization evidence.\n\n## Canonical case\n\nUse persona-language case `MS-02` as the upload validation prompt.\n","# Predictive alerts\n\n## Use\n\nUse when a production supervisor asks which assets deserve condition review.\n\n## Procedure\n\n1. Use only the uploaded synthetic records and fixed review rules.\n2. Rank synthetic risk signals without controlling equipment.\n3. Cite the stable synthetic identifiers that support the conclusion.\n4. Separate evidence, recommendation, and required authorization.\n5. State that exact figures and identifiers are synthetic pilot evidence.\n\n## Safety boundary\n\nThe agent never controls equipment or creates, assigns, schedules, or dispatches maintenance work. Do not claim a completed external side effect without an approved connected tool and authorization evidence.\n\n## Canonical case\n\nUse persona-language case `MS-02` as the upload validation prompt.\n",{"name":49,"description":50},"predictive-alerts","Use when a production supervisor asks which assets deserve condition review.","main","d665f66f72c112f5d2956b180f9b534dcb1d94f8","app\u002F.agents\u002Fskills\u002Ffabric-cli",3,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots","https:\u002F\u002Fgithub.com\u002Fmicrosoft","https:\u002F\u002Fopensource.microsoft.com","Open source projects and samples from Microsoft","2026-11-10 05:28:39",{"source":8,"skillName":49,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add microsoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots --skill predictive-alerts",{"tool":66,"command":67},"bunx","bunx skills add microsoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots --skill predictive-alerts",{"tool":69,"command":70},"pnpm","pnpm dlx skills add microsoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots --skill predictive-alerts","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots\u002Fblob\u002Fmain\u002Fapp\u002F.agents\u002Fskills\u002Ffabric-cli\u002FSKILL.md",true,[],[75,102,128,163,186,204],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":82,"publishedAt":44},"01M69B9T4X5TYZ11KW4J9Q0W44","visuals","Use when user wants to incorporate charts, graphs, data grid,  or other visual representations of data into their project. Use VegaVisual and DataGrid components to create these visuals,  utilizing the shared DataTable input, formatting, theme, and interactivity. Covers the VisualContainer chrome every visual gets by default, the onInteraction selection\u002Fclick events host apps consume, named multi-table data input for layered overlays and reference lines, and Vega-Lite native selections.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots\u002Fblob\u002Fmain\u002Fapp\u002F.agents\u002Fskills\u002Fvisuals\u002FSKILL.md",[81],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[77,83,84,85,39,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101],"chrome","components","create","Charts","table","default","selection","shared","project","formatting","click","host","apps","input","events","theme","native","overlays","when",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":44},"01M69B9QMWZM9VV7K45A58E4ED","schema-discovery","Explore Power BI semantic model schemas using DAX INFO functions. Progressive metadata discovery strategy, scope estimation, and narrowing techniques for tables, columns, measures, and relationships.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots\u002Fblob\u002Fmain\u002Fapp\u002F.agents\u002Fskills\u002Fschema-discovery\u002FSKILL.md",[],[109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,29],"schema discovery","discovery","schema","dax","power bi","explore","model","strategy","power","functions","info","relationships","estimation","semantic","scope","bi","columns","tables","techniques",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":146,"publishedAt":44},"01M69B9MERN0RER50J0A391ZSM","query-design","Separates DAX data-fetching from TypeScript presentation. Guides when to use  DAX vs. TypeScript vs. Vega-Lite for aggregation, total rows, FORMAT(), SELECTCOLUMNS,  BLANK handling, filtering, multi-grain queries, cross-filtering and cross-highlight subset\u002Foverlay queries, and format strings.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots\u002Fblob\u002Fmain\u002Fapp\u002F.agents\u002Fskills\u002Fquery-design\u002FSKILL.md",[134,139,142,145],{"categoryNo":135,"categoryName":136,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000003","演示文稿","SCENARIO","使用场景",{"categoryNo":140,"categoryName":141,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":143,"categoryName":144,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000032","设计师",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[147,148,149,43,112,39,150,151,152,153,154,155,156,157,158,159,29,160,161,162,101],"design","query design","query","aggregation","format","filtering","use","queries","data-fetching","guides","multi","presentation","strings","when to use","overlay","grain",{"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":15,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":172,"publishedAt":44},"01M69B9GPW01S1KVKW0AEMTP09","playwright-cli","Automate browser interactions, test web pages and work with Playwright tests.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots\u002Fblob\u002Fmain\u002Fapp\u002F.agents\u002Fskills\u002Fplaywright-cli\u002FSKILL.md",[169],{"categoryNo":170,"categoryName":171,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000008","测试与质量",[26,173,174,175,176,177,178,179,180,181,182,63,183,184,185,165],"playwright","playwright cli","test","web","browser","npm","Bash","automate","work","test web","tests","pages","with",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":193,"publishedAt":44},"01M69B9DPRM5T4MEQ64GFK92CD","fabric-sdk","How to use @microsoft\u002Ffabric-app-data to connect web applications to Fabric data sources at runtime. Build browser-based apps that query semantic models via DAX using the FabricClient API.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots\u002Fblob\u002Fmain\u002Fapp\u002F.agents\u002Fskills\u002Ffabric-sdk\u002FSKILL.md",[192],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[194,195,25,176,9,112,196,40,197,177,39,198,199,27,153,149,200,34,95,33,201,202,203],"sdk","fabric sdk","connect","semantic models","applications","api","runtime","sources","at","data sources",{"skillNo":205,"name":206,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":208,"categories":209,"keywords":211,"publishedAt":44},"01M69B9823D0KZDVWR4FPJE95J","dax-authoring","Write and test DAX queries against Power BI semantic models. Covers DAX syntax rules, query patterns, time intelligence, and an iterative test workflow using the Fabric CLI query command.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FDataHub-App-for-Microsoft-Copilot-Agents-Cowork-and-Autopilots\u002Fblob\u002Fmain\u002Fapp\u002F.agents\u002Fskills\u002Fdax-authoring\u002FSKILL.md",[210],{"categoryNo":170,"categoryName":171,"taxonomyType":137,"taxonomyTypeDesc":138},[112,212,213,26,214,175,24,113,25,197,215,216,217,218,117,219,154,149,220,124],"dax authoring","authoring","workflow","Rules","syntax","command","write","models","time"]