[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ADZX9VQ6ZX98MVHJCXWD7J":3,"skill-same:01M6ADZX9VQ6ZX98MVHJCXWD7J":100},{"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":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":57,"repositoryHtmlUrl":58,"repositoryHomepageUrl":59,"ownerHtmlUrl":60,"ownerBlogUrl":61,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6ADZX9VQ6ZX98MVHJCXWD7J","powerbi-modeling",null,"Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension\u002Ffact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.","github\u002Fawesome-copilot","github","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","01M6AC83DS133TPXFSP1DHNCC6","GitHub","01M6AD3PBDYPK7NVFJNJ66Y8RS",41046,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpowerbi-modeling\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"powerbi","modeling","powerbi modeling","when","design","implementing","calculation","rls","direction","bi","filter","active","structure","power","model","data","mcp tools","semantic models","best practices","power bi","documentation","dax","performance","assistant","MCP","2026-11-10 10:12:30",false,"---\nname: powerbi-modeling\ndescription: 'Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension\u002Ffact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.'\n---\n\n# Power BI Semantic Modeling\n\nGuide users in building optimized, well-documented Power BI semantic models following Microsoft best practices.\n\n## When to Use This Skill\n\nUse this skill when users ask about:\n- Creating or optimizing Power BI semantic models\n- Designing star schemas (dimension\u002Ffact tables)\n- Writing DAX measures or calculated columns\n- Configuring table relationships (cardinality, cross-filter)\n- Implementing row-level security (RLS)\n- Naming conventions for tables, columns, measures\n- Adding descriptions and documentation to models\n- Performance tuning and optimization\n- Calculation groups and field parameters\n- Model validation and best practice checks\n\n**Trigger phrases:** \"create a measure\", \"add relationship\", \"star schema\", \"optimize model\", \"DAX formula\", \"RLS\", \"naming convention\", \"model documentation\", \"cardinality\", \"cross-filter\"\n\n## Prerequisites\n\n### Required Tools\n- **Power BI Modeling MCP Server**: Required for connecting to and modifying semantic models\n  - Enables: connection_operations, table_operations, measure_operations, relationship_operations, etc.\n  - Must be configured and running to interact with models\n\n### Optional Dependencies\n- **Microsoft Learn MCP Server**: Recommended for researching latest best practices\n  - Enables: microsoft_docs_search, microsoft_docs_fetch\n  - Use for complex scenarios, new features, and official documentation\n\n## Workflow\n\n### 1. Connect and Analyze First\n\nBefore providing any modeling guidance, always examine the current model state:\n\n```\n1. List connections: connection_operations(operation: \"ListConnections\")\n2. If no connection, check for local instances: connection_operations(operation: \"ListLocalInstances\")\n3. Connect to the model (Desktop or Fabric)\n4. Get model overview: model_operations(operation: \"Get\")\n5. List tables: table_operations(operation: \"List\")\n6. List relationships: relationship_operations(operation: \"List\")\n7. List measures: measure_operations(operation: \"List\")\n```\n\n### 2. Evaluate Model Health\n\nAfter connecting, assess the model against best practices:\n\n- **Star Schema**: Are tables properly classified as dimension or fact?\n- **Relationships**: Correct cardinality? Minimal bidirectional filters?\n- **Naming**: Human-readable, consistent naming conventions?\n- **Documentation**: Do tables, columns, measures have descriptions?\n- **Measures**: Explicit measures for key calculations?\n- **Hidden Fields**: Are technical columns hidden from report view?\n\n### 3. Provide Targeted Guidance\n\nBased on analysis, guide improvements using references:\n- Star schema design: See [STAR-SCHEMA.md](references\u002FSTAR-SCHEMA.md)\n- Relationship configuration: See [RELATIONSHIPS.md](references\u002FRELATIONSHIPS.md)\n- DAX measures and naming: See [MEASURES-DAX.md](references\u002FMEASURES-DAX.md)\n- Performance optimization: See [PERFORMANCE.md](references\u002FPERFORMANCE.md)\n- Row-level security: See [RLS.md](references\u002FRLS.md)\n\n## Quick Reference: Model Quality Checklist\n\n| Area | Best Practice |\n|------|--------------|\n| Tables | Clear dimension vs fact classification |\n| Naming | Human-readable: `Customer Name` not `CUST_NM` |\n| Descriptions | All tables, columns, measures documented |\n| Measures | Explicit DAX measures for business metrics |\n| Relationships | One-to-many from dimension to fact |\n| Cross-filter | Single direction unless specifically needed |\n| Hidden fields | Hide technical keys, IDs from report view |\n| Date table | Dedicated marked date table |\n\n## MCP Tools Reference\n\nUse these Power BI Modeling MCP operations:\n\n| Operation Category | Key Operations |\n|-------------------|----------------|\n| `connection_operations` | Connect, ListConnections, ListLocalInstances, ConnectFabric |\n| `model_operations` | Get, GetStats, ExportTMDL |\n| `table_operations` | List, Get, Create, Update, GetSchema |\n| `column_operations` | List, Get, Create, Update (descriptions, hidden, format) |\n| `measure_operations` | List, Get, Create, Update, Move |\n| `relationship_operations` | List, Get, Create, Update, Activate, Deactivate |\n| `dax_query_operations` | Execute, Validate |\n| `calculation_group_operations` | List, Create, Update |\n| `security_role_operations` | List, Create, Update, GetEffectivePermissions |\n\n## Common Tasks\n\n### Add Measure with Description\n```\nmeasure_operations(\n  operation: \"Create\",\n  definitions: [{\n    name: \"Total Sales\",\n    tableName: \"Sales\",\n    expression: \"SUM(Sales[Amount])\",\n    formatString: \"$#,##0\",\n    description: \"Sum of all sales amounts\"\n  }]\n)\n```\n\n### Update Column Description\n```\ncolumn_operations(\n  operation: \"Update\",\n  definitions: [{\n    tableName: \"Customer\",\n    name: \"CustomerKey\",\n    description: \"Unique identifier for customer dimension\",\n    isHidden: true\n  }]\n)\n```\n\n### Create Relationship\n```\nrelationship_operations(\n  operation: \"Create\",\n  definitions: [{\n    fromTable: \"Sales\",\n    fromColumn: \"CustomerKey\",\n    toTable: \"Customer\",\n    toColumn: \"CustomerKey\",\n    crossFilteringBehavior: \"OneDirection\"\n  }]\n)\n```\n\n## When to Use Microsoft Learn MCP\n\nResearch current best practices using `microsoft_docs_search` for:\n- Latest DAX function documentation\n- New Power BI features and capabilities\n- Complex modeling scenarios (SCD Type 2, many-to-many)\n- Performance optimization techniques\n- Security implementation patterns\n","# Power BI Semantic Modeling\n\nGuide users in building optimized, well-documented Power BI semantic models following Microsoft best practices.\n\n## When to Use This Skill\n\nUse this skill when users ask about:\n- Creating or optimizing Power BI semantic models\n- Designing star schemas (dimension\u002Ffact tables)\n- Writing DAX measures or calculated columns\n- Configuring table relationships (cardinality, cross-filter)\n- Implementing row-level security (RLS)\n- Naming conventions for tables, columns, measures\n- Adding descriptions and documentation to models\n- Performance tuning and optimization\n- Calculation groups and field parameters\n- Model validation and best practice checks\n\n**Trigger phrases:** \"create a measure\", \"add relationship\", \"star schema\", \"optimize model\", \"DAX formula\", \"RLS\", \"naming convention\", \"model documentation\", \"cardinality\", \"cross-filter\"\n\n## Prerequisites\n\n### Required Tools\n- **Power BI Modeling MCP Server**: Required for connecting to and modifying semantic models\n  - Enables: connection_operations, table_operations, measure_operations, relationship_operations, etc.\n  - Must be configured and running to interact with models\n\n### Optional Dependencies\n- **Microsoft Learn MCP Server**: Recommended for researching latest best practices\n  - Enables: microsoft_docs_search, microsoft_docs_fetch\n  - Use for complex scenarios, new features, and official documentation\n\n## Workflow\n\n### 1. Connect and Analyze First\n\nBefore providing any modeling guidance, always examine the current model state:\n\n```\n1. List connections: connection_operations(operation: \"ListConnections\")\n2. If no connection, check for local instances: connection_operations(operation: \"ListLocalInstances\")\n3. Connect to the model (Desktop or Fabric)\n4. Get model overview: model_operations(operation: \"Get\")\n5. List tables: table_operations(operation: \"List\")\n6. List relationships: relationship_operations(operation: \"List\")\n7. List measures: measure_operations(operation: \"List\")\n```\n\n### 2. Evaluate Model Health\n\nAfter connecting, assess the model against best practices:\n\n- **Star Schema**: Are tables properly classified as dimension or fact?\n- **Relationships**: Correct cardinality? Minimal bidirectional filters?\n- **Naming**: Human-readable, consistent naming conventions?\n- **Documentation**: Do tables, columns, measures have descriptions?\n- **Measures**: Explicit measures for key calculations?\n- **Hidden Fields**: Are technical columns hidden from report view?\n\n### 3. Provide Targeted Guidance\n\nBased on analysis, guide improvements using references:\n- Star schema design: See [STAR-SCHEMA.md](references\u002FSTAR-SCHEMA.md)\n- Relationship configuration: See [RELATIONSHIPS.md](references\u002FRELATIONSHIPS.md)\n- DAX measures and naming: See [MEASURES-DAX.md](references\u002FMEASURES-DAX.md)\n- Performance optimization: See [PERFORMANCE.md](references\u002FPERFORMANCE.md)\n- Row-level security: See [RLS.md](references\u002FRLS.md)\n\n## Quick Reference: Model Quality Checklist\n\n| Area | Best Practice |\n|------|--------------|\n| Tables | Clear dimension vs fact classification |\n| Naming | Human-readable: `Customer Name` not `CUST_NM` |\n| Descriptions | All tables, columns, measures documented |\n| Measures | Explicit DAX measures for business metrics |\n| Relationships | One-to-many from dimension to fact |\n| Cross-filter | Single direction unless specifically needed |\n| Hidden fields | Hide technical keys, IDs from report view |\n| Date table | Dedicated marked date table |\n\n## MCP Tools Reference\n\nUse these Power BI Modeling MCP operations:\n\n| Operation Category | Key Operations |\n|-------------------|----------------|\n| `connection_operations` | Connect, ListConnections, ListLocalInstances, ConnectFabric |\n| `model_operations` | Get, GetStats, ExportTMDL |\n| `table_operations` | List, Get, Create, Update, GetSchema |\n| `column_operations` | List, Get, Create, Update (descriptions, hidden, format) |\n| `measure_operations` | List, Get, Create, Update, Move |\n| `relationship_operations` | List, Get, Create, Update, Activate, Deactivate |\n| `dax_query_operations` | Execute, Validate |\n| `calculation_group_operations` | List, Create, Update |\n| `security_role_operations` | List, Create, Update, GetEffectivePermissions |\n\n## Common Tasks\n\n### Add Measure with Description\n```\nmeasure_operations(\n  operation: \"Create\",\n  definitions: [{\n    name: \"Total Sales\",\n    tableName: \"Sales\",\n    expression: \"SUM(Sales[Amount])\",\n    formatString: \"$#,##0\",\n    description: \"Sum of all sales amounts\"\n  }]\n)\n```\n\n### Update Column Description\n```\ncolumn_operations(\n  operation: \"Update\",\n  definitions: [{\n    tableName: \"Customer\",\n    name: \"CustomerKey\",\n    description: \"Unique identifier for customer dimension\",\n    isHidden: true\n  }]\n)\n```\n\n### Create Relationship\n```\nrelationship_operations(\n  operation: \"Create\",\n  definitions: [{\n    fromTable: \"Sales\",\n    fromColumn: \"CustomerKey\",\n    toTable: \"Customer\",\n    toColumn: \"CustomerKey\",\n    crossFilteringBehavior: \"OneDirection\"\n  }]\n)\n```\n\n## When to Use Microsoft Learn MCP\n\nResearch current best practices using `microsoft_docs_search` for:\n- Latest DAX function documentation\n- New Power BI features and capabilities\n- Complex modeling scenarios (SCD Type 2, many-to-many)\n- Performance optimization techniques\n- Security implementation 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review, and test Supabase Row Level Security (RLS) policies so that one user cannot read or change another user's rows. Use when creating or changing tables, policies, views, or security definer functions in a Supabase project, when reviewing a migration that touches RLS, or when asked to prove user isolation with pgTAP tests that sign in as two users.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsupabase-rls-policies\u002FSKILL.md",[107,110],{"categoryNo":108,"categoryName":109,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[112,31,113,114,115,27,116,117,118,119,120,121,122,123,124,125,126,127,128,129],"supabase","supabase rls","supabase rls policies","project","review","change","read","write","security","isolation","tables","as","tests","prove","use","users","functions","with",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":137,"publishedAt":49},"01M70KWA5YWXDV6V8DZ19E3T2Y","skill-distribution-audit","Audit a skill collection before release or investigate installer omissions, archived\u002Ftemplate leakage, duplicate identities, and manifest drift. Reconcile the intended public source set, distribution manifest, and actual discovery output for a specified consumer version. Includes a deterministic set-comparison helper.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fskill-distribution-audit\u002FSKILL.md",[136],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157],"distribution","skill distribution audit","audit","SET","deterministic","installer","for","discovery","comparison","helper","manifest","version","collection","drift","output","investigate","duplicate","template","release","reconcile",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":162,"sourceHtmlUrl":163,"categories":164,"keywords":170,"publishedAt":49},"01M70KCJPFVW7PPQ49CC5R8JGK","logicapps-custom-code-net10-migration","Migrate Azure Logic Apps Standard local-function custom-code projects from .NET 8 to .NET 10. Use for legacy Logic Apps custom-code workspace upgrades, project\u002Fpackage configuration, custom-worker settings, publication, and integrated VS Code debugging. Not for ordinary .NET applications, standalone Azure Functions, Consumption workflows, or cloud deployment.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FSKILL.md",[165],{"categoryNo":166,"categoryName":167,"taxonomyType":168,"taxonomyTypeDesc":169},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[171,172,173,174,175,176,144,115,177,178,179,180,181,182,183,126,184,185,186,187],"custom","code","logicapps custom code net10 migration","migration","projects","standalone","deployment","applications","local","azure","worker","upgrades","package","apps","Legacy","debugging","workflows",{"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":15,"licenseFileUrl":192,"sourceHtmlUrl":193,"categories":194,"keywords":199,"publishedAt":49},"01M6AEBN37RQMXJ3298PEY7PG1","winmd-api-search","Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI\u002FML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FSKILL.md",[195,198],{"categoryNo":196,"categoryName":197,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":166,"categoryName":167,"taxonomyType":168,"taxonomyTypeDesc":169},[200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,27,215,216,217,218,219,144,220,221],"winmd api search","search","api","windows","desktop","file access","enumeration","ui","ml","file","networking","capabilities","notifications","explore","access","features","full","camera","events","platform","methods","controls",{"skillNo":223,"name":224,"nameZh":6,"description":225,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":226,"licenseFileUrl":227,"sourceHtmlUrl":228,"categories":229,"keywords":235,"publishedAt":49},"01M6AE571R3SC1ZGE202B3NB5S","resemble-detect","Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FSKILL.md",[230,231,234],{"categoryNo":196,"categoryName":197,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":232,"categoryName":233,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[236,141,209,237,238],"resemble detect","https","identity",{"skillNo":240,"name":241,"nameZh":6,"description":242,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":226,"licenseFileUrl":243,"sourceHtmlUrl":244,"categories":245,"keywords":250,"publishedAt":49},"01M6AE30BSK2HCY4TQQ22Z8JRD","quality-playbook","Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FSKILL.md",[246,249],{"categoryNo":247,"categoryName":248,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[251,252,253,254,172,116,9,140,255,256,237,257,258,259,260,261,262,263,264,265,266,267,124,268,38,269,270],"playbook","quality playbook","quality","code review","tdd","run","report","spec","bug report","council","engineering","functional","spec audit","bug","verified","multi-model","three","coverage","regression","structural"]