Plugins
1 pluginResults for “data-tables”
8 skillsgreat-tables-python
Use for writing, reviewing, debugging, or testing publication-quality display tables in Python with Great Tables, including GT construction, stub and row groups, headers and spanners, labels, numeric/date formatting, targeted styles, footnotes/source notes, HTML/LaTeX/image export, and render verification. Do not use for dataframe computation, interactive data grids, charts, or plain console tables.
0 · bundle
shadcn-ui
Provides guidance on using the shadcn/ui component library, including installation, theming, and usage of components like forms and data tables.
10
data-viz-2025
State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards. Activate on "data viz", "chart", "graph", "visualization", "dashboard", "plot", "Recharts", "Nivo", "D3". NOT for static images, print graphics, or basic HTML tables.
10 · bundle
More results
n-data-table
A powerful data table component for displaying structured tabular data with features like sorting, filtering, pagination, selection, tree data, virtual scrolling, and more.
8
n-table
A basic table component for rendering simple HTML tables with styling options including borders, stripes, and size variations.
8
appbuilder-ui-scaffolder
Generate React Spectrum UI components for Adobe Experience Cloud Shell SPAs and AEM UI Extensions, including pages, forms, data tables, dialogs, and navigation.
142 · bundle
canvas
A Cursor Canvas is a live React app the user opens beside the chat. MUST use a canvas for standalone analytical artifacts — quantitative analyses, billing investigations, security audits, architecture reviews, data-heavy content, timelines, charts, tables, interactive explorations, repeatable tools, or any response.
8 · bundle
ivx-cursor-canvas
A Cursor Canvas is a live React app that the user can open beside the chat. You MUST use a canvas when the agent produces a standalone analytical artifact — quantitative analyses, billing investigations, security audits, architecture reviews, data-heavy content, timelines, charts, tables, interactive explorations, repeatable tools, or any response that benefits from visual layout. Especially prefer a canvas when presenting results from MCP tools (Datadog, Databricks, Linear, Sentry, Slack, etc.) where the data is the deliverable — render it in a rich canvas rather than dumping it into a markdown table or code block. If you catch yourself about to write a markdown table, stop and use a canvas instead. You MUST also read this skill whenever you create, edit, or debug any .canvas.tsx file.
0 · bundle