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Agent skill

Getting Started

by octanejs in octanejs/octane

Create and render a TanStack React Table v9 table with useTable, tableFeatures, stable data and columns, row/header models, and table.FlexRender.

MITAuto-check passedDevelopment

Install Getting Started

skills CLI
$ npx skills add octanejs/octane --skill getting-started -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install octanejs/octane getting-started --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/octanejs/octane.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/tanstack-table/upstream/skills/getting-started .claude/skills/getting-started && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
getting-started
GitHub stars
1.4k
Token cost
~1.1k tokens
SKILL.md length
167 words
Files
1
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Create and render a TanStack React Table v9 table with useTable, tableFeatures, stable data and columns, row/header models, and table.FlexRender.

  • Development work in your project
  • SKILL.md covers Setup, Core Patterns, Common Mistakes and API Discovery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Getting Started is an agent skill from octanejs/octane. Create and render a TanStack React Table v9 table with useTable, tableFeatures, stable data and columns, row/header models, and table.FlexRender. Load for a first React table, headless rendering, or when v8 useReactTable examples are producing the wrong setup.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. It works with React and TanStack. The repository describes itself as: React’s programming model, compiled. The successor to Inferno. The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “/getting-started”

What it can do on your machine

Read from SKILL.md and the folder at commit 40fdefd. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Getting Started loads about 1.1k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 167 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from octanejs/octane at commit 40fdefd, republished under its MIT licence (© octanejs). 167 words, ~1,063 tokens.

Download SKILL.mdSave it as .claude/skills/getting-started/SKILL.md (or your agent's skills folder).
name
getting-started
description
Create and render a TanStack React Table v9 table with useTable, tableFeatures, stable data and columns, row/header models, and table.FlexRender. Load for a first React table, headless rendering, or when v8 useReactTable examples are producing the wrong setup.
metadata.type
framework
metadata.library
@tanstack/react-table
metadata.library_version
9.2.4
metadata.framework
react
requires
@tanstack/table-core#core, @tanstack/table-core#table-features
sources
TanStack/table:docs/framework/react/guide/migrating.md, TanStack/table:examples/react/basic-use-table, TanStack/table:packages/react-table/src/index.ts

This skill builds on @tanstack/table-core#core and @tanstack/table-core#table-features. Read them first for the headless model and explicit feature registration.

Setup

tsx
import { useMemo, useState } from 'react'
import {
  createColumnHelper,
  tableFeatures,
  useTable,
} from '@tanstack/react-table'

type Person = { name: string; age: number }
const features = tableFeatures({})
const helper = createColumnHelper<typeof features, Person>()
const columns = helper.columns([
  helper.accessor('name', { header: 'Name' }),
  helper.accessor('age', { header: 'Age' }),
])

export function PeopleTable() {
  const [data] = useState<Person[]>([{ name: 'Ada', age: 36 }])
  const table = useTable({ features, columns, data })

  return (
    <table>
      <thead>
        {table.getHeaderGroups().map((group) => (
          <tr key={group.id}>
            {group.headers.map((header) => (
              <th key={header.id}>
                {header.isPlaceholder ? null : (
                  <table.FlexRender header={header} />
                )}
              </th>
            ))}
          </tr>
        ))}
      </thead>
      <tbody>
        {table.getRowModel().rows.map((row) => (
          <tr key={row.id}>
            {row.getAllCells().map((cell) => (
              <td key={cell.id}>
                <table.FlexRender cell={cell} />
              </td>
            ))}
          </tr>
        ))}
      </tbody>
    </table>
  )
}

Table produces models and state; React owns the semantic markup, styles, event affordances, and accessibility.

Core Patterns

Add only the feature the table uses
tsx
import {
  createSortedRowModel,
  rowSortingFeature,
  tableFeatures,
} from '@tanstack/react-table'

const sortableFeatures = tableFeatures({
  rowSortingFeature,
  sortedRowModel: createSortedRowModel(),
})

Row-model slots belong inside tableFeatures, after their prerequisite feature.

Keep static inputs outside render
tsx
const features = tableFeatures({})
const data: Person[] = [{ name: 'Ada', age: 36 }]

Use state, memoization, or query results for changing data; avoid a new fallback array every render.

Common Mistakes

HIGH Copying the v8 table constructor

Wrong:

tsx
const table = useReactTable({
  data,
  columns,
  getCoreRowModel: getCoreRowModel(),
})

Correct:

tsx
const table = useTable({ data, columns, features })

V9 uses useTable; optional row models are registered as feature slots rather than table options.

Source: docs/framework/react/guide/migrating.md

HIGH Assuming feature APIs are global

Wrong:

tsx
const features = tableFeatures({})

Correct:

tsx
const features = tableFeatures({
  rowSortingFeature,
  sortedRowModel: createSortedRowModel(),
})

Sorting state and methods do not exist until the sorting feature is registered.

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

MEDIUM Recreating fallback data each render

Wrong:

tsx
const table = useTable({ features, columns, data: response.data ?? [] })

Correct:

tsx
// module scope
const EMPTY_DATA: Person[] = []
const table = useTable({ features, columns, data: response.data ?? EMPTY_DATA })

A fresh fallback invalidates data-dependent models on every render.

Source: docs/framework/react/guide/data.md

API Discovery

Inspect node_modules/@tanstack/react-table/dist/index.d.ts first, then the exported useTable.d.ts, FlexRender.d.ts, or core feature source. Use installed declarations so names match the consumer's exact v9 version.

© octanejs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/tanstack-table/upstream/skills/getting-started of octanejs/octane.

Open the folder on GitHubat commit 40fdefd

Compare with similar skills

Getting Started next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Getting Started compared with similar skills
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Getting Started this skilloctanejs/octane1.4k—~1.1kAutomated safety check: PassMIT
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Tanstack Router Best PracticesDeckardGer/tanstack-agent-skills222—~1.1kAutomated safety check: PassMIT
Tanstack Routerbskimball/tanstack-hono119—~4.4kAutomated safety check: PassMIT
New React PlaygroundTanStack/ai3.2k—~266Automated safety check: NotesMIT

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Works with

Categories

Questions about Getting Started

What does Getting Started do?

Create and render a TanStack React Table v9 table with useTable, tableFeatures, stable data and columns, row/header models, and table.FlexRender. Getting Started is an agent skill from octanejs/octane.FlexRender.

When should I use Getting Started?

Getting Started fits situations like: development work in your project.

How do I install Getting Started in Claude Code?

Run `npx skills add octanejs/octane --skill getting-started -a claude-code`. Or copy the skill folder (packages/tanstack-table/upstream/skills/getting-started in octanejs/octane) into .claude/skills/getting-started in your project. Claude Code loads it when a task matches its description.

How do I install Getting Started in Codex?

Run `npx skills add octanejs/octane --skill getting-started -a codex`. Or copy the skill folder (packages/tanstack-table/upstream/skills/getting-started in octanejs/octane) into .agents/skills/getting-started in your project. Codex loads it when a task matches its description.

Can I use Getting Started in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add octanejs/octane --skill getting-started -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/getting-started, .gemini/skills/getting-started, .github/skills/getting-started and .opencode/skills/getting-started in your project.

What does Getting Started need to run?

SKILL.md names no scripts, command-line tools or credentials: Getting Started is instructions for the agent only.

Does Getting Started access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Getting Started safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Getting Started use?

Getting Started is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Getting Started use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Getting Started?

Skills that share tags, products or a category with Getting Started: Wagmi Feature Development (wevm/wagmi, 6.8k stars), Cleanup Specialist (ahaodev/shadmin, 174 stars), Tanstack Router Best Practices (DeckardGer/tanstack-agent-skills, 222 stars) and Tanstack Router (bskimball/tanstack-hono, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Getting Started?

octanejs (a GitHub organization) maintains it in octanejs/octane, which has 1,450 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 8, 2026.

Source: octanejs/octane on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.