table-state

A guide to managing reactive state in Alpine.js tables. Reactive means the table updates when its data or settings change, while Alpine.js is a small JavaScript framework for interactive web pages.

In plain words
What is it for?
Use it to connect table state to Alpine data, callbacks, or an external state store, and to keep changing data and table options synchronized.
Why use it?
It prevents stale table displays and incorrect state wiring when filters, sorting, pagination, or other table settings are controlled by the surrounding application.

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

Made for: Claude Code, Codex.

Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,239 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 $0.00051 $0.01239
Opus 5 $0.00026 $0.00620
Sonnet 5 $0.00010 $0.00248
Haiku 4.5 $0.00005 $0.00124

Measured yesterday against content hash d35b93e50d52, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

table-state 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 yesterday.

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/alpine-table/skills/table-state/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This skill builds on @tanstack/table-core#core and this package's getting-started skill.

State Mental Model

TanStack Table is primarily a state coordinator. Keep state internal unless another system needs to read, persist, or drive it. Without initialState, atoms, state, or on[State]Change, the table owns all registered slices.

  • table.baseAtoms are internal writable atoms initialized from resolved initial state.
  • table.atoms are readonly derived atoms for the active owner of each registered slice.
  • table.store combines those atoms into one readonly flat store.

The Alpine adapter proxies the table and subscribes it to the store. Reads inside x-text, x-for, x-if, bound attributes, x-effect, or Alpine getters are reactive automatically; event handlers read the current value when invoked. State is feature-based, so missing state or methods usually mean the feature was not registered. Keep features, columns, and source data stable; expose changing reactive data through a getter rather than filtering, mapping, or slicing inside table options.

Setup

import Alpine from 'alpinejs'
import {
  createTable,
  rowPaginationFeature,
  tableFeatures,
} from '@tanstack/alpine-table'
import type { PaginationState } from '@tanstack/alpine-table'

const features = tableFeatures({ rowPaginationFeature })

Alpine.data('pagedTable', () => {
  const local = Alpine.reactive<{ pagination: PaginationState }>({
    pagination: { pageIndex: 0, pageSize: 10 },
  })
  const table = createTable({
    features,
    columns: [],
    data: [],
    state: {
      get pagination() {
        return local.pagination
      },
    },
    onPaginationChange: (updater) => {
      local.pagination =
        typeof updater === 'function' ? updater(local.pagination) : updater
    },
  })

  return { table }
})

Core Patterns

Read narrow atoms in bindings

Use table.atoms.pagination.get().pageIndex for a narrow state read. The proxy registers the binding as reactive.

Read the full file on GitHub · 137 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. yesterday First seen · 137 lines · 51 tokens per session scan A d35b93e50d52

Subscribe to this mod's changes

table-state is a skill published in the GitHub repository TanStack/table (28,393 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 1,239 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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