visuals Skill
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 def Published by microsoft in fabric-apps-analytic-templates.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
3 months ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is visuals Skill?
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 def Published by microsoft in fabric-apps-analytic-templates. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: .agents/skills/visuals/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use visuals Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/fabric-apps-analytic-templates
- Skill file: .agents/skills/visuals/SKILL.md
What it does
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 def
Skill instructions
Visuals Types of visuals There are 2 different types of visuals that can be used in a project: 1. Charts and Graphs: These are used to represent data in a visual format, such as bar charts, line charts, pie charts, etc. These are built using vega-lite, see references/vega-lite-visual.md for more details. 2. Data Grids: These are used to display tabular data in a structured format, allowing for sorting, filtering, and pagination. See references/data-grid-visual.md for more details. Packages & Imports The visual components are provided by three packages. Always use these package imports when creating visuals. | Package | Primary exports | Example import | |---|---|---| | @microsoft/fabric-visuals | VegaVisual, types: VisualizationSpec, VegaLiteConfig, VegaVisualProps | import { VegaVisual } from "@microsoft/fabric-visuals" | | @microsoft/fabric-datagrid | DataGrid, types: GridColumnDef, Row, CellValue, DataGridProps, DataGridTheme, SortConfig | import { DataGrid } from "@microsoft/fabric
Verified compatibility and discovery
Frequently asked questions
What is visuals?
visuals is a open-source AI agent skill with Copy skill directory. Use when user wants to incorporate charts, graphs, data grid, or other visual representations of data into their project.
Who is visuals best for?
visuals is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install visuals?
Install or run visuals using Copy skill directory. Check visuals for the latest setup command.
Is visuals actively maintained?
visuals may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
