typescript

A guidance skill for keeping type inference correct when building TanStack Table v9 tables, a library for creating data tables in code.

In plain words
What is it for?
Use it when working with createColumnHelper, columns(), tableOptions, tableFeatures, metaHelper, or ColumnDef errors.
Why use it?
It helps avoid losing useful type information or adding unnecessary manual type declarations when defining columns, options, features, and metadata.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/tanstack/table/typescript
Any agent
npx skills add TanStack/table --skill typescript
Clone the repo
git clone --depth 1 https://github.com/TanStack/table

Made for: Claude Code, Codex.

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 719 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00050 $0.00719
Opus 5 $0.00025 $0.00360
Sonnet 5 $0.00010 $0.00144
Haiku 4.5 $0.00005 $0.00072

Measured 2d ago against content hash b426fade460c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

typescript scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

packages/table-core/skills/typescript/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This skill builds on core and table-features. Let the feature object and helpers carry types through userland.

Setup

import {
  createColumnHelper,
  metaHelper,
  tableFeatures,
} from '@tanstack/table-core'

type Person = { id: string; age: number }
type ColumnMeta = { align?: 'start' | 'end' }
const features = tableFeatures({ columnMeta: metaHelper<ColumnMeta>() })
const helper = createColumnHelper<typeof features, Person>()
export const columns = helper.columns([
  helper.accessor('age', { meta: { align: 'end' } }),
])

Core Patterns

Preserve heterogeneous accessor values

const columns = helper.columns([
  helper.accessor('id', { header: 'ID' }),
  helper.accessor('age', { header: 'Age' }),
])

columns() preserves each accessor's TValue instead of widening the array.

Compose options through the helper

const defaults = tableOptions<typeof features, Person>({
  defaultColumn: { meta: { align: 'start' } },
})

Use tableOptions for reusable fragments; direct adapter options are enough for one-offs.

Common Mistakes

[HIGH] Erasing accessor value inference

Wrong:

const columns: ColumnDef<typeof features, Person, unknown>[] = [
  helper.accessor('age', {}),
]

Correct:

const columns = helper.columns([helper.accessor('age', {})])

The broad annotation discards the accessor-specific number value type.

Source: docs/guide/helpers.md#createcolumnhelper

[MEDIUM] Threading internal feature generics manually

Wrong:

type Features = TableFeatures

Correct:

type Features = typeof features

The concrete registry is the source of feature-gated APIs and registry keys.

Source: packages/table-core/src/types/TableFeatures.ts

[MEDIUM] Globally merging per-table meta

Wrong:

declare module '@tanstack/table-core' {
  interface ColumnMeta<TData, TValue> {
    align?: string
  }
}

Correct:

const features = tableFeatures({
  columnMeta: metaHelper<{ align?: 'start' | 'end' }>(),
})

Read the full file on GitHub · 127 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 127 lines · 50 tokens per session scan A b426fade460c

Subscribe to this mod's changes

typescript is a skill published in the GitHub repository TanStack/table (28,393 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 719 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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