MCPInstall

core

Use TanStack Table v9 core architecture, stable data and columns, and inferred types. Route setup, missing APIs, row models, state, features, and framework-specific work.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/tanstack/table --skill core
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads core automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

TanStack 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

<!-- skill-snippet:check -->
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, and columns stable 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 createColumnHelper and helper.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; extracting const { getValue } = row loses its this receiver.
  • Render the final table.getRowModel().rows. The table object itself is not a DOM component.

Read for the current task

TaskRead
Add or repair optional features, processing slots, or prerequisitesFeature architecture, then its relevant feature reference
Choose state ownership, initialize or reset stateShared state
Fix ColumnDef inference, reusable options, or scoped metaTypeScript inference
Diagnose a missing export, option, state slice, or instance methodAPI discovery
Implement row numbers, identity, or display-index behaviorRows
Author behavior beyond built-ins or typed metaCustom features
Migrate an existing v8 tableMigration 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.

FAQ

What does the core skill do?

Use TanStack Table v9 core architecture, stable data and columns, and inferred types. Route setup, missing APIs, row models, state, features, and framework-specific work.

How do I install core?

Run npx skills add https://github.com/tanstack/table --skill core in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/core/ (personal) or .claude/skills/core/ (project).

Which AI agents can use core?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is core safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains core?

It is published by tanstack in tanstack/table. It has 92 recorded installs.

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