What problem does it solve? Building feature-rich data tables from scratch requires implementing sorting, filtering, pagination, grouping, and selection logic by hand. This Skill provides the patterns and APIs of TanStack Table v8, a headless table library, so you can assemble fully controlled datagrids without writing the underlying state machinery. ## Core Features & Use Cases - Complete table feature set: Sorting, column and global filtering, fuzzy search, pagination, row selection, column visibility, pinning, resizing, grouping, aggregation, and row expanding. - Server-side operations: Manual sorting, filtering, and pagination modes for large datasets fetched from an API. - TypeScript-first patterns: Type-safe column definitions via createColumnHelper, module augmentation for custom meta, filter functions, and editable cells. - Use Case: You need an admin dashboard table showing thousands of users with server-side pagination, multi-column sorting, a global fuzzy search box, and a checkbox column for bulk actions. This Skill gives you the exact hooks, row models, and rendering patterns to build it. ## Quick Start Ask the AI to create a React table component using TanStack Table with sortable columns, a global filter input, and pagination for a given array of data.