Agent skill

With Tanstack Virtual

Virtualize final React Table row or column models with TanStack Virtual.

MITAuto-check passedDevelopment

Install With Tanstack Virtual

skills CLI

$ npx skills add octanejs/octane --skill with-tanstack-virtual -a claude-code

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

GitHub CLI

$ gh skill install octanejs/octane with-tanstack-virtual --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/with-tanstack-virtual .claude/skills/with-tanstack-virtual && 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/

Paste into Claude Code

Install the "with-tanstack-virtual" agent skill from https://github.com/octanejs/octane/tree/main/packages/tanstack-table/upstream/skills/with-tanstack-virtual into .claude/skills/with-tanstack-virtual/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "with-tanstack-virtual", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/octanejs/octane/tree/main/packages/tanstack-table/upstream/skills/with-tanstack-virtual

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add octanejs/octane --skill with-tanstack-virtual -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install octanejs/octane with-tanstack-virtual --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/octanejs/octane.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/tanstack-table/upstream/skills/with-tanstack-virtual .agents/skills/with-tanstack-virtual && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "with-tanstack-virtual" agent skill from https://github.com/octanejs/octane/tree/main/packages/tanstack-table/upstream/skills/with-tanstack-virtual into .agents/skills/with-tanstack-virtual/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "with-tanstack-virtual", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add octanejs/octane --skill with-tanstack-virtual -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install octanejs/octane with-tanstack-virtual --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/octanejs/octane.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/tanstack-table/upstream/skills/with-tanstack-virtual .cursor/skills/with-tanstack-virtual && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "with-tanstack-virtual" agent skill from https://github.com/octanejs/octane/tree/main/packages/tanstack-table/upstream/skills/with-tanstack-virtual into .cursor/skills/with-tanstack-virtual/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "with-tanstack-virtual", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/octanejs/octane.git --path packages/tanstack-table/upstream/skills/with-tanstack-virtual

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add octanejs/octane --skill with-tanstack-virtual -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install octanejs/octane with-tanstack-virtual --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/octanejs/octane.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/tanstack-table/upstream/skills/with-tanstack-virtual .gemini/skills/with-tanstack-virtual && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "with-tanstack-virtual" agent skill from https://github.com/octanejs/octane/tree/main/packages/tanstack-table/upstream/skills/with-tanstack-virtual into .gemini/skills/with-tanstack-virtual/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "with-tanstack-virtual", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install octanejs/octane with-tanstack-virtual

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add octanejs/octane --skill with-tanstack-virtual -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/octanejs/octane.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/tanstack-table/upstream/skills/with-tanstack-virtual .github/skills/with-tanstack-virtual && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "with-tanstack-virtual" agent skill from https://github.com/octanejs/octane/tree/main/packages/tanstack-table/upstream/skills/with-tanstack-virtual into .github/skills/with-tanstack-virtual/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "with-tanstack-virtual", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add octanejs/octane --skill with-tanstack-virtual -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install octanejs/octane with-tanstack-virtual --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/octanejs/octane.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/tanstack-table/upstream/skills/with-tanstack-virtual .opencode/skills/with-tanstack-virtual && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "with-tanstack-virtual" agent skill from https://github.com/octanejs/octane/tree/main/packages/tanstack-table/upstream/skills/with-tanstack-virtual into .opencode/skills/with-tanstack-virtual/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "with-tanstack-virtual", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: with-tanstack-virtual
GitHub stars: 1.4k
Token cost: ~1.3k tokens
SKILL.md length: 188 words
Files: 1
Skills in repo: 18
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Virtualize final React Table row or column models with TanStack Virtual.

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

With Tanstack Virtual is an agent skill from octanejs/octane. Virtualize final React Table row or column models with TanStack Virtual. Load for useVirtualizer counts, scroll elements, stable keys, data-index measurement, dynamic heights, sticky headers/columns, grid/flex geometry, or infinite fetching; Virtual is renderer composition, not a Table feature.

Its SKILL.md is about 1.3k 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 TanStack and React. 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

“/with-tanstack-virtual”

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

With Tanstack Virtual loads about 1.3k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 188 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~79
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

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). 188 words, ~1,250 tokens.

Download SKILL.mdSave it as .claude/skills/with-tanstack-virtual/SKILL.md (or your agent's skills folder).

name: with-tanstack-virtual
description: Virtualize final React Table row or column models with TanStack Virtual. Load for useVirtualizer counts, scroll elements, stable keys, data-index measurement, dynamic heights, sticky headers/columns, grid/flex geometry, or infinite fetching; Virtual is renderer composition, not a Table feature.
metadata.type: composition
metadata.library: @tanstack/react-table
metadata.library_version: 9.2.4
metadata.framework: react
requires: @tanstack/table-core#core, getting-started, table-state
sources: TanStack/table:docs/framework/react/guide/virtualization.md, TanStack/table:examples/react/virtualized-rows…

This skill builds on @tanstack/table-core#core, getting-started, and table-state. Build the Table model first, then virtualize its final rendered rows or visible columns.

Setup

tsx

import { useRef } from 'react'
import { useVirtualizer } from '@tanstack/react-virtual'

function VirtualBody({ table }: { table: any }) {
  const scrollRef = useRef<HTMLDivElement>(null)
  const rows = table.getRowModel().rows
  const virtualizer = useVirtualizer({
    count: rows.length,
    getScrollElement: () => scrollRef.current,
    estimateSize: () => 36,
    getItemKey: (index) => rows[index].id,
    overscan: 5,
  })
  return (
    <div ref={scrollRef} style={{ height: 400, overflow: 'auto' }}>
      <div style={{ height: virtualizer.getTotalSize(), position: 'relative' }}>
        {virtualizer.getVirtualItems().map((item) => (
          <div
            key={rows[item.index].id}
            data-index={item.index}
            ref={virtualizer.measureElement}
            style={{
              position: 'absolute',
              transform: `translateY(${item.start}px)`,
              width: '100%',
            }}
          >
            {rows[item.index].getAllCells().map((cell: any) => (
              <span
                key={cell.id}
                style={{
                  display: 'inline-block',
                  width: cell.column.getSize(),
                }}
              >
                <table.FlexRender cell={cell} />
              </span>
            ))}
          </div>
        ))}
      </div>
    </div>
  )
}

Core Patterns

Keep the virtualizer near its render loop

tsx

const rows = table.getRowModel().rows
const rowVirtualizer = useVirtualizer({
  count: rows.length,
  getScrollElement: () => container.current,
  estimateSize: () => 36,
})

This limits unrelated parent updates and keeps count, measurement, and rendered items together.

Use Table sizes in renderer CSS

tsx

<td style={{ width: cell.column.getSize() }}>
  <table.FlexRender cell={cell} />
</td>

Table calculates size state; the renderer must apply it.

Common Mistakes

HIGH Registering Virtual as a feature

Wrong:

tsx

const features = tableFeatures({ rowVirtualizer: useVirtualizer(options) })

Correct:

tsx

const rows = table.getRowModel().rows
const virtualizer = useVirtualizer({
  count: rows.length,
  getScrollElement: () => scrollRef.current,
  estimateSize: () => 36,
})

Virtual controls rendering geometry and is not a Table feature or row model.

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

HIGH Virtualizing raw input data

Wrong:

tsx

const virtualizer = useVirtualizer({
  count: data.length,
  getScrollElement,
  estimateSize,
})

Correct:

tsx

const rows = table.getRowModel().rows
const virtualizer = useVirtualizer({
  count: rows.length,
  getScrollElement,
  estimateSize,
})

Raw data ignores filtering, sorting, expansion, grouping, and pagination already applied by Table.

Source: examples/react/virtualized-rows

HIGH Measuring against incomplete identity

Wrong:

tsx

<tr ref={virtualizer.measureElement}>{row.id}</tr>

Correct:

tsx

<tr key={row.id} data-index={item.index} ref={virtualizer.measureElement}>
  {row.id}
</tr>

Dynamic measurement needs the virtual index, and stable row identity prevents measurements moving to the wrong row.

Source: examples/react/virtualized-rows

HIGH Omitting positioning geometry

Wrong:

tsx

<tbody>{virtualizer.getVirtualItems().map(renderRow)}</tbody>

Correct:

tsx

<tbody
  style={{
    display: 'grid',
    height: virtualizer.getTotalSize(),
    position: 'relative',
  }}
>
  {virtualizer.getVirtualItems().map(renderRow)}
</tbody>

Virtual only computes positions; the renderer must provide total spacer size and position items using each virtual start.

Source: examples/react/virtualized-rows

API Discovery

Inspect node_modules/@tanstack/react-table/dist/index.d.ts for Table render APIs and installed node_modules/@tanstack/react-virtual/dist/ for the exact virtualizer options. Copy layout contracts from the maintained example matching rows, columns, or infinite loading.

Files

Just SKILL.md in packages/tanstack-table/upstream/skills/with-tanstack-virtual of octanejs/octane.

Open the folder on GitHubat commit 40fdefd

Compare with similar skills

With Tanstack Virtual 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.

With Tanstack Virtual compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
With Tanstack Virtual this skilloctanejs/octane	1.4k	—	~1.3k	Automated safety check: Pass	MIT	today
Wagmi Feature Developmentwevm/wagmi	6.8k	—	~3.8k	Automated safety check: Pass	MIT	7 days ago
Cleanup Specialistahaodev/shadmin	174	—	~1.3k	Automated safety check: Pass	MIT	6 days ago
Tanstack Router Best PracticesDeckardGer/tanstack-agent-skills	222	—	~1.1k	Automated safety check: Pass	MIT	29 days ago
Tanstack Routerbskimball/tanstack-hono	119	—	~4.4k	Automated safety check: Pass	MIT	27 days ago
New React PlaygroundTanStack/ai	3.2k	—	~266	Automated safety check: Notes	MIT	today

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Questions about With Tanstack Virtual

What does With Tanstack Virtual do?

Virtualize final React Table row or column models with TanStack Virtual. With Tanstack Virtual is an agent skill from octanejs/octane. Virtualize final React Table row or column models with TanStack Virtual.

When should I use With Tanstack Virtual?

With Tanstack Virtual fits situations like: development work in your project.

How do I install With Tanstack Virtual in Claude Code?

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

How do I install With Tanstack Virtual in Codex?

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

Can I use With Tanstack Virtual 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 with-tanstack-virtual -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/with-tanstack-virtual, .gemini/skills/with-tanstack-virtual, .github/skills/with-tanstack-virtual and .opencode/skills/with-tanstack-virtual in your project.

What does With Tanstack Virtual need to run?

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

Does With Tanstack Virtual 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 With Tanstack Virtual 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 With Tanstack Virtual use?

With Tanstack Virtual 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 With Tanstack Virtual use?

About 1.3k tokens (SKILL.md is roughly 5k 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 With Tanstack Virtual?

Skills that share tags, products or a category with With Tanstack Virtual: 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 With Tanstack Virtual?

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.

Install With Tanstack Virtual

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Setup

Core Patterns

Keep the virtualizer near its render loop

Use Table sizes in renderer CSS

Common Mistakes

HIGH Registering Virtual as a feature

HIGH Virtualizing raw input data

HIGH Measuring against incomplete identity

HIGH Omitting positioning geometry

API Discovery

Files

Compare with similar skills

Similar skills

More from octanejs/octane

Related

Questions about With Tanstack Virtual