About core
core is a TanStack Table skill covering the headless table model, state, and feature APIs. It helps developers build or extend tables while preserving stable inputs and TypeScript inference.
Key features
- 01Configure the headless row model
- 02Manage state and registered features
- 03Preserve column accessor types
- 04Discover installed APIs and declarations
Use cases
- 01Add or repair table features
- 02Diagnose missing APIs or state
- 03Migrate an existing v8 table
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ tanstack/ table --skill coreAfter installing, type/corein Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/api-not-found.mdrows.mdtypescript.mdDetails
From the project READMETanStack Table core
TanStack Table coordinates state and row processing. The renderer owns markup, styles, semantics, and interaction accessibility. Use the installed framework adapter in UI code; use constructTable for framework-neutral integrations.
Minimal setup
import {
constructTable,
createColumnHelper,
tableFeatures,
} from '@tanstack/table-core'
import { storeReactivityBindings } from '@tanstack/table-core/store-reactivity-bindings'
type Person = { id: string; name: string }
const features = tableFeatures({
coreReactivityFeature: storeReactivityBindings(),
})
const helper = createColumnHelper<typeof features, Person>()
const columns = helper.columns([helper.accessor('name', { header: 'Name' })])
const data: Person[] = [{ id: '1', name: 'Ada' }]
const table = constructTable({
features,
columns,
data,
getRowId: (row) => row.id,
})
for (const row of table.getRowModel().rows) {
console.log(row.getAllCells().map((cell) => cell.getValue()))
}
Essential constraints
- The core row model is automatic. Optional APIs and state exist only after their feature is registered.
- Keep
features,data, andcolumnsstable between meaningful changes. Derive changing arrays with the adapter's memo/computed mechanism; an inline.map(),.filter(), column factory, or fresh[]fallback invalidates model work and can cause render loops. - Let
createColumnHelperandhelper.columns()preserve accessor value types. Derive feature types from the concrete registry when an explicit boundary is needed. - Call row, cell, column, and header methods on their instance. Use
row.getValue('name')or a callback that calls it; extractingconst { getValue } = rowloses itsthisreceiver. - Render the final
table.getRowModel().rows. The table object itself is not a DOM component.
Read for the current task
| Task | Read |
|---|---|
| Add or repair optional features, processing slots, or prerequisites | Feature architecture, then its relevant feature reference |
| Choose state ownership, initialize or reset state | Shared state |
Fix ColumnDef inference, reusable options, or scoped meta | TypeScript inference |
| Diagnose a missing export, option, state slice, or instance method | API discovery |
| Implement row numbers, identity, or display-index behavior | Rows |
| Author behavior beyond built-ins or typed meta | Custom features |
| Migrate an existing v8 table | Migration audit |
For framework construction and rendering, load the installed package's getting-started skill with intent load <package>#getting-started, replacing <package> with the actual adapter package, such as @tanstack/react-table. For reactive reads or controlled wiring, load that package's table-state skill directly.
Installed API discovery
Start at node_modules/@tanstack/table-core/dist/index.d.ts and follow exported declarations. Adapter declaration layouts and missing-API diagnosis are in API discovery; read it when the expected export or declaration path is absent.