What problem does it solve? Building dashboard data tables with pagination, sorting, and filtering often leads to inconsistent state management, duplicated fetch logic, and stale data. This Skill provides a standardized pattern combining TanStack Table, TanStack Query, and nuqs so every table in the DropFlow dashboard behaves consistently. ## Core Features & Use Cases - URL-Driven Filter State: Uses nuqs to store page, pageSize, sort, and filter values in the URL, making every table view shareable via link. - Server-Side Table Pattern: Configures TanStack Table with manualPagination and manualSorting so large datasets are always paginated and sorted on the server. - Real-Time Cache Invalidation: Invalidates TanStack Query caches in response to SSE events so tables reflect live order status changes. - Use Case: Build an orders dashboard where a user filters by status, sorts by date, paginates through results, shares the exact filtered view via URL, and sees rows update automatically when order statuses change. ## Quick Start Use the tanstack-data-views skill to build a paginated, sortable orders table with URL-based filters and SSE-driven refresh.
