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fredgis
GitHub 创作者资料

fredgis

按仓库查看 6 个 GitHub 仓库中的 17 个已收集 skills。

已收集 skills
17
仓库
6
更新
2026-07-21
仓库浏览

仓库与代表性 skills

app-design
网页与数字界面设计师

Use when building or modifying the app layout, creating UI components, or making any visual design decisions. Ensures consistency, accessibility, and a polished, unique app.

2026-07-03
app-validation
软件质量保证分析师与测试员

What to validate and how to drive Playwright for this template's app. Use alongside the playwright-cli skill — playwright-cli covers the tool's commands; this skill covers performance rules, the required validation checklist, the Fabric portal embed flow, and spec file guidance.

2026-07-03
dax-authoring
软件开发工程师

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.

2026-07-03
fabric-cli
软件开发工程师

How to use fabric-app-data CLI to manage Fabric data source connections. Maintain workspace/item IDs in a fabric.yaml file with profiles, add connections by ID or Fabric portal URL, and generate TypeScript config for use with @microsoft/fabric-app-data.

2026-07-03
fabric-sdk
软件开发工程师

How to use @microsoft/fabric-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.

2026-07-03
query-design
软件开发工程师

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/overlay queries, and format strings.

2026-07-03
schema-discovery
软件开发工程师

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.

2026-07-03
visuals
网页与数字界面设计师

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/click events host apps consume, named multi-table data input for layered overlays and reference lines, and Vega-Lite native selections.

2026-07-03
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