[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M699XEC0X2PSS0NDR2WTKE83":3,"skill-same:01M699XEC0X2PSS0NDR2WTKE83":82},{"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":31,"publishedAt":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":41,"commitSha":42,"skillDirectory":43,"forksCount":44,"repositoryHtmlUrl":45,"repositoryHomepageUrl":6,"ownerHtmlUrl":46,"ownerBlogUrl":47,"ownerDescription":48,"updatedAt":49,"install":50,"resources":63},"01M699XEC0X2PSS0NDR2WTKE83","query-design",null,"Separates DAX data-fetching from TypeScript presentation. 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Guides when to use \n  DAX vs. TypeScript vs. Vega-Lite for aggregation, total rows, FORMAT(), SELECTCOLUMNS, \n  BLANK handling, filtering, multi-grain queries, and format strings.\n---\n\n# Query Design — Separation of Data and Presentation\n\n**DAX computes and fetches data. TypeScript shapes it for display. VegaVisual and DataGrid render it.**\n\nAggregate in DAX to the visual's grain — never fetch lower-grain rows to roll up client-side. Once at the visual's grain, TypeScript can derive simple totals (SUM, COUNT, MIN, MAX) from the already-fetched detail rows. When a visual layout changes, only the TypeScript or spec layer should change — not the DAX query.\n\n## Responsibility Matrix\n\n| Concern | Owner |\n|---|---|\n| Semantic measures (SUM, DISTINCTCOUNT, etc.) | DAX |\n| Filters and slicers | DAX or TypeScript ([see Filter Strategy](references\u002Ffilter-strategy.md)) |\n| Grouping grain (SUMMARIZECOLUMNS) | DAX |\n| Time intelligence (YTD, YoY) | DAX |\n| TopN \u002F payload reduction | DAX |\n| Deterministic row ordering (ORDER BY) | DAX (for debugging — not presentation sort) |\n| Merging multiple result sets | TypeScript |\n| Totals derivable from detail rows (SUM, COUNT, MIN, MAX) | TypeScript (roll up from already-fetched detail) |\n| Totals NOT derivable from detail (DISTINCTCOUNT, ratios, AVERAGEX, complex measures) | DAX (separate summary query) |\n| Filling dimension gaps | TypeScript (stitch dimension list into sparse results) |\n| Reshaping (pivot, unpivot) | TypeScript |\n| Column display names | `columnMetadata` in factory file |\n| Number\u002Fdate formatting | `columnMetadata.format` \u002F Vega-Lite spec |\n| User-facing sort order | TypeScript \u002F Vega-Lite `sort` \u002F DataGrid `sort` |\n| Decorative labels, icons | DataGrid `cellRenderer` or Vega-Lite condition |\n| Axis titles, legends, color encoding | Vega-Lite spec |\n\n## Rules\n\n### Must\n\n- Aggregate in DAX to the visual's grain — never fetch lower-grain rows just to roll them up to that grain in TypeScript\n- One grain per `.dax` file (one `EVALUATE` per file); separate grains → separate files + separate `useSemanticModelQuery` calls\n- `ORDER BY` in DAX for stable, diffable results — not presentation sort\n- Same filters\u002Fmeasures across related split-grain queries to prevent drift\n- For totals from already-fetched detail rows: if the rollup is safe (SUM, COUNT, MIN, MAX), compute in TypeScript; otherwise (DISTINCTCOUNT, ratios, AVERAGEX, complex measures) issue a separate DAX summary query\n\n### Prefer\n\n- `SUMMARIZECOLUMNS` for grouped aggregation — it also drops BLANK-measure rows, keeping payloads small\n- DAX's natural column names (`'Table'[Column]`, `[Measure]`) mapped via `columnMetadata.displayName`\n- Raw typed values from DAX — format via `columnMetadata.format` or Vega-Lite, never `FORMAT()`\n- Model-defined format strings (from `INFO.VIEW.MEASURES()`) over invented ones\n- Multiple lightweight queries over one monolithic query\n- User-facing sort in TypeScript \u002F Vega-Lite \u002F DataGrid — never re-query for sort\n\n### Avoid\n\n- `SELECTCOLUMNS` solely for renaming — use `columnMetadata.displayName` instead\n- `UNION` to mix different grains (detail + total) — use separate queries\n- `FORMAT()` in DAX — converts to text, breaks sorting and charting\n- Converting BLANK to `0` \u002F `\"\"` \u002F `\"N\u002FA\"` in DAX — causes result-set explosion\n- `CONCATENATEX`, `UNICHAR`, emoji prefixes — decorative text belongs in `cellRenderer` or Vega-Lite\n- Fetching all members of high-cardinality dimensions just to fill gaps\n\n## Decision Flowchart\n\n```text\nNeed to add something to the query result?\n  |-- Calculation \u002F aggregation \u002F filter?\n  |     -> DAX (measures, CALCULATE, SUMMARIZECOLUMNS)\n  |-- Interactive filter the user controls?\n  |     -> Low-cardinality: widen grain, filter in TypeScript or Vega-Lite transform\n  |     -> High-cardinality: push filter to DAX, re-query\n  |-- Merging datasets or adding synthetic rows?\n  |     -> Charts: pass multiple DataTables to VegaVisual, layer in spec\n  |     -> Grids: append rows in TypeScript, style via cellRenderer\n  |-- Renaming a column for display?\n  |     -> columnMetadata in the factory file (displayName)\n  |-- Formatting, labeling, or encoding?\n  |     -> Vega-Lite spec or DataGrid cellRenderer\n  |-- Decorating values (icons, status badges, null placeholders)?\n  |     -> DataGrid cellRenderer or Vega-Lite condition encoding\n  |-- Not sure?\n        -> Does it change what the data *means* (filter, measure, grain)? -> DAX\n           Does it change only how data is *rendered* (labels, icons, layout)? -> TypeScript \u002F Vega-Lite spec \u002F DataGrid cellRenderer\n           Still unclear? -> Read the relevant reference above\n```\n\n## Reference Materials\n\nRead these when working on a specific topic:\n\n- **[Anti-patterns and corrections](references\u002Fanti-patterns.md)** — Open when reviewing a query that uses `UNION` for totals, `FORMAT()`, `SELECTCOLUMNS` for renaming, `CONCATENATEX`\u002Femoji decoration, BLANK-to-`0` conversion, or `GENERATE`\u002F`CROSSJOIN` for gap-filling.\n- **[Multi-grain patterns](references\u002Fmulti-grain-patterns.md)** — Open when a single visualization needs data at two grains (e.g., bars + grand-total reference line, region detail + total row, monthly trend + YTD).\n- **[Filter strategy](references\u002Ffilter-strategy.md)** — Open when adding a user-controlled filter and deciding whether to widen the grain (filter client-side) or push the filter into DAX (re-query on each change).\n- **[Format strings](references\u002Fformat-strings.md)** — Open when picking a `columnMetadata.format` value, when a measure has a dynamic format string, or when formatting needs to flow into a Vega-Lite axis.\n\n## Integration with Sibling Skills\n\n- **[schema-discovery](..\u002Fschema-discovery\u002FSKILL.md)** — Schema exploration; discover tables, columns, and relationships before writing queries.\n- **[dax-authoring](..\u002Fdax-authoring\u002FSKILL.md)** — DAX syntax, query patterns, and testing workflow. Apply this skill's principles when deciding what DAX should compute.\n- **[visuals](..\u002Fvisuals\u002FSKILL.md)** — Vega-Lite specs and DataGrid configuration. Push formatting and labels into specs, not DAX.\n","# Query Design — Separation of Data and Presentation\n\n**DAX computes and fetches data. TypeScript shapes it for display. VegaVisual and DataGrid render it.**\n\nAggregate in DAX to the visual's grain — never fetch lower-grain rows to roll up client-side. Once at the visual's grain, TypeScript can derive simple totals (SUM, COUNT, MIN, MAX) from the already-fetched detail rows. When a visual layout changes, only the TypeScript or spec layer should change — not the DAX query.\n\n## Responsibility Matrix\n\n| Concern | Owner |\n|---|---|\n| Semantic measures (SUM, DISTINCTCOUNT, etc.) | DAX |\n| Filters and slicers | DAX or TypeScript ([see Filter Strategy](references\u002Ffilter-strategy.md)) |\n| Grouping grain (SUMMARIZECOLUMNS) | DAX |\n| Time intelligence (YTD, YoY) | DAX |\n| TopN \u002F payload reduction | DAX |\n| Deterministic row ordering (ORDER BY) | DAX (for debugging — not presentation sort) |\n| Merging multiple result sets | TypeScript |\n| Totals derivable from detail rows (SUM, COUNT, MIN, MAX) | TypeScript (roll up from already-fetched detail) |\n| Totals NOT derivable from detail (DISTINCTCOUNT, ratios, AVERAGEX, complex measures) | DAX (separate summary query) |\n| Filling dimension gaps | TypeScript (stitch dimension list into sparse results) |\n| Reshaping (pivot, unpivot) | TypeScript |\n| Column display names | `columnMetadata` in factory file |\n| Number\u002Fdate formatting | `columnMetadata.format` \u002F Vega-Lite spec |\n| User-facing sort order | TypeScript \u002F Vega-Lite `sort` \u002F DataGrid `sort` |\n| Decorative labels, icons | DataGrid `cellRenderer` or Vega-Lite condition |\n| Axis titles, legends, color encoding | Vega-Lite spec |\n\n## Rules\n\n### Must\n\n- Aggregate in DAX to the visual's grain — never fetch lower-grain rows just to roll them up to that grain in TypeScript\n- One grain per `.dax` file (one `EVALUATE` per file); separate grains → separate files + separate `useSemanticModelQuery` calls\n- `ORDER BY` in DAX for stable, diffable results — not presentation sort\n- Same filters\u002Fmeasures across related split-grain queries to prevent drift\n- For totals from already-fetched detail rows: if the rollup is safe (SUM, COUNT, MIN, MAX), compute in TypeScript; otherwise (DISTINCTCOUNT, ratios, AVERAGEX, complex measures) issue a separate DAX summary query\n\n### Prefer\n\n- `SUMMARIZECOLUMNS` for grouped aggregation — it also drops BLANK-measure rows, keeping payloads small\n- DAX's natural column names (`'Table'[Column]`, `[Measure]`) mapped via `columnMetadata.displayName`\n- Raw typed values from DAX — format via `columnMetadata.format` or Vega-Lite, never `FORMAT()`\n- Model-defined format strings (from `INFO.VIEW.MEASURES()`) over invented ones\n- Multiple lightweight queries over one monolithic query\n- User-facing sort in TypeScript \u002F Vega-Lite \u002F DataGrid — never re-query for sort\n\n### Avoid\n\n- `SELECTCOLUMNS` solely for renaming — use `columnMetadata.displayName` instead\n- `UNION` to mix different grains (detail + total) — use separate queries\n- `FORMAT()` in DAX — converts to text, breaks sorting and charting\n- Converting BLANK to `0` \u002F `\"\"` \u002F `\"N\u002FA\"` in DAX — causes result-set explosion\n- `CONCATENATEX`, `UNICHAR`, emoji prefixes — decorative text belongs in `cellRenderer` or Vega-Lite\n- Fetching all members of high-cardinality dimensions just to fill gaps\n\n## Decision Flowchart\n\n```text\nNeed to add something to the query result?\n  |-- Calculation \u002F aggregation \u002F filter?\n  |     -> DAX (measures, CALCULATE, SUMMARIZECOLUMNS)\n  |-- Interactive filter the user controls?\n  |     -> Low-cardinality: widen grain, filter in TypeScript or Vega-Lite transform\n  |     -> High-cardinality: push filter to DAX, re-query\n  |-- Merging datasets or adding synthetic rows?\n  |     -> Charts: pass multiple DataTables to VegaVisual, layer in spec\n  |     -> Grids: append rows in TypeScript, style via cellRenderer\n  |-- Renaming a column for display?\n  |     -> columnMetadata in the factory file (displayName)\n  |-- Formatting, labeling, or encoding?\n  |     -> Vega-Lite spec or DataGrid cellRenderer\n  |-- Decorating values (icons, status badges, null placeholders)?\n  |     -> DataGrid cellRenderer or Vega-Lite condition encoding\n  |-- Not sure?\n        -> Does it change what the data *means* (filter, measure, grain)? -> DAX\n           Does it change only how data is *rendered* (labels, icons, layout)? -> TypeScript \u002F Vega-Lite spec \u002F DataGrid cellRenderer\n           Still unclear? -> Read the relevant reference above\n```\n\n## Reference Materials\n\nRead these when working on a specific topic:\n\n- **[Anti-patterns and corrections](references\u002Fanti-patterns.md)** — Open when reviewing a query that uses `UNION` for totals, `FORMAT()`, `SELECTCOLUMNS` for renaming, `CONCATENATEX`\u002Femoji decoration, BLANK-to-`0` conversion, or `GENERATE`\u002F`CROSSJOIN` for gap-filling.\n- **[Multi-grain patterns](references\u002Fmulti-grain-patterns.md)** — Open when a single visualization needs data at two grains (e.g., bars + grand-total reference line, region detail + total row, monthly trend + YTD).\n- **[Filter strategy](references\u002Ffilter-strategy.md)** — Open when adding a user-controlled filter and deciding whether to widen the grain (filter client-side) or push the filter into DAX (re-query on each change).\n- **[Format strings](references\u002Fformat-strings.md)** — Open when picking a `columnMetadata.format` value, when a measure has a dynamic format string, or when formatting needs to flow into a Vega-Lite axis.\n\n## Integration with Sibling Skills\n\n- **[schema-discovery](..\u002Fschema-discovery\u002FSKILL.md)** — Schema exploration; discover tables, columns, and relationships before writing queries.\n- **[dax-authoring](..\u002Fdax-authoring\u002FSKILL.md)** — DAX syntax, query patterns, and testing workflow. Apply this skill's principles when deciding what DAX should compute.\n- **[visuals](..\u002Fvisuals\u002FSKILL.md)** — Vega-Lite specs and DataGrid configuration. Push formatting and labels into specs, not DAX.\n",{"name":5,"description":7},"main","0979439a7a0806abd0ee48c2619b37f297ae1324","samples\u002Fdata-app\u002F.agents\u002Fskills\u002Fquery-design",77,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin","https:\u002F\u002Fgithub.com\u002Fmicrosoft","https:\u002F\u002Fopensource.microsoft.com","Open source projects and samples from Microsoft","2026-11-12 01:21:10",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add microsoft\u002Frayfin --skill query-design",{"tool":56,"command":57},"bunx","bunx skills add microsoft\u002Frayfin --skill query-design",{"tool":59,"command":60},"pnpm","pnpm dlx skills add microsoft\u002Frayfin --skill query-design","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin\u002Fblob\u002Fmain\u002Fsamples\u002Fdata-app\u002F.agents\u002Fskills\u002Fquery-design\u002FSKILL.md",true,[64,70,74,78],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"references\u002Fanti-patterns.md","REFERENCE","参考文档",12189,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin\u002Fblob\u002Fmain\u002Fsamples\u002Fdata-app\u002F.agents\u002Fskills\u002Fquery-design\u002Freferences\u002Fanti-patterns.md",{"path":71,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":72,"sourceHtmlUrl":73},"references\u002Ffilter-strategy.md",3106,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin\u002Fblob\u002Fmain\u002Fsamples\u002Fdata-app\u002F.agents\u002Fskills\u002Fquery-design\u002Freferences\u002Ffilter-strategy.md",{"path":75,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Fformat-strings.md",2922,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin\u002Fblob\u002Fmain\u002Fsamples\u002Fdata-app\u002F.agents\u002Fskills\u002Fquery-design\u002Freferences\u002Fformat-strings.md",{"path":79,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fmulti-grain-patterns.md",4077,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin\u002Fblob\u002Fmain\u002Fsamples\u002Fdata-app\u002F.agents\u002Fskills\u002Fquery-design\u002Freferences\u002Fmulti-grain-patterns.md",[83,96,112,120,129,137],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":89,"publishedAt":36},"01M699YEY2QDVPKTZS3HR9AX84","rayfin-getting-started","Use when starting or creating a NEW Rayfin app, or when a Rayfin task comes up and you are not yet inside a Rayfin project. Gets you into a project with the Rayfin CLI, then hands off to the authoritative, version-locked in-project rayfin skill\u002Fdocs that own all in-project work. Triggers: build a Rayfin app, start a Rayfin project, create a new Rayfin app, create-rayfin, npm create @microsoft\u002Frayfin, rayfin init, scaffold rayfin, rayfin CLI, rayfin template, universal app, awesome-rayfin gallery, get started with Rayfin","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin\u002Fblob\u002Fmain\u002Fskills\u002Frayfin-getting-started\u002FSKILL.md",[],[90,91,92,93,9,94,95],"rayfin getting started","rayfin","scaffold","init","docs","cli",{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":108,"publishedAt":36},"01M699YCN4ZDW2AMDP4NVJ2QGC","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 onInteraction selection\u002Fclick events host apps consume, named multi-table data input for layered overlays and reference lines, and Vega-Lite native selections. Triggers: chart, graph, plot, dashboard, KPI, metric, trend, scorecard, data grid, visualize.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin\u002Fblob\u002Fmain\u002Fsamples\u002Funiversal-app\u002Ftemplate\u002F.agents\u002Fskills\u002Fvisuals\u002FSKILL.md",[102,105],{"categoryNo":103,"categoryName":104,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":106,"categoryName":107,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000033","数据分析师",[98,109,110,111],"components","dashboard","visualize",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":36},"01M699YBEP146MJZJNN8YEBZ2G","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\u002Frayfin\u002Fblob\u002Fmain\u002Fsamples\u002Funiversal-app\u002Ftemplate\u002F.agents\u002Fskills\u002Fschema-discovery\u002FSKILL.md",[],[119,35],"schema discovery",{"skillNo":121,"name":5,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":128,"publishedAt":36},"01M699Y9E80WYFKD1S4MT4B1CS","Separates DAX data-fetching from TypeScript presentation. 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Use for trusted server-side logic, secrets, external APIs, custom model endpoints, published Fabric data agents, webhooks, or privileged operations.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin\u002Fblob\u002Fmain\u002Fsamples\u002Funiversal-app\u002Ftemplate\u002F.agents\u002Fskills\u002Ffunctions-capability\u002FSKILL.md",[],[136],"functions capability",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":143,"publishedAt":36},"01M699Y5R87YE620T78Z30KQSA","fabric-sdk","How to query Fabric data from a running app through the Rayfin connectors client. Use getRayfinClient().connectors.\u003Cname>.executeQuery to run DAX against a semantic model, and toQueryResult to normalize the response.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frayfin\u002Fblob\u002Fmain\u002Fsamples\u002Funiversal-app\u002Ftemplate\u002F.agents\u002Fskills\u002Ffabric-sdk\u002FSKILL.md",[],[144,145,35,146,91,147],"sdk","fabric sdk","rayfin connectors","connectors"]