Configure TanStack Table v9 feature plugins and row-model factories.
npx skills add https://github.com/TanStack/table --skill setup-tanstack
Please help me install this Agent Skill. Skill: setup Source: https://github.com/TanStack/table/tree/main/packages/table-core/skills/setup Command: npx skills add https://github.com/TanStack/table --skill setup-tanstack
TanStack Table v9 requires explicit feature registration and row-model pipelines, and misconfiguring _features and _rowModels leads to missing APIs, silently inactive behavior, or confusing runtime/typing issues.
tableFeatures({...}) once at module scope so the feature/plugin graph remains stable and tree-shakable.createSortedRowModel, createFilteredRowModel, createPaginatedRowModel) only when its corresponding feature is present in _features.createColumnHelper<typeof _features, TData>() to ensure the column definitions align with the enabled feature set.Ask your AI agent to guide you through setting up a TanStack Table v9 adapter by creating a module-scoped _features = tableFeatures({ ... }), wiring _rowModels with the matching create*RowModel(...) factories, and constructing the table with createColumnHelper<typeof _features, TData>()-backed columns and the framework useTable / injectTable / createTable entry point.
High-intent search queries and answers about installing and using this skill.
To configure TanStack Table v9, register enabled feature plugins at module scope using tableFeatures({...}) and provide matching row-model factories like createSortedRowModel to power sorting, filtering, and pagination pipelines.
Missing or inactive TanStack Table v9 APIs occur when _features and _rowModels are misconfigured, requiring you to pair each row-model factory with its corresponding registered feature to avoid runtime and typing issues.
Yes, building a TanStack Table v9 framework adapter for React, Vue, Solid, or Angular requires explicit feature registration via tableFeatures and pairing _rowModels entries to construct a working datagrid.
Type columns in TanStack Table v9 by using createColumnHelper<typeof _features, TData>() to ensure column definitions align with the enabled feature set and maintain strict typing.
The best way to maintain a tree-shakable feature graph in TanStack Table v9 is declaring _features = tableFeatures({...}) once at module scope so the plugin registry remains stable.
Yes, you can use @tanstack/table-core directly to construct a working datagrid by wiring module-scoped _features, matching _rowModels factories, and typed column helpers without framework-specific entry points.
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