cell-spanning

A guide to merging neighboring table cells across rows or columns. It covers rules for when matching values share one cell and how covered cells are omitted from the rendered row.

In plain words
What is it for?
Use it to merge repeated values vertically, define row-specific horizontal spans, and ensure the rendered table handles cells covered by a span.
Why use it?
It prevents irregular rows and incorrect merged cells when sorting, filtering, paginating, or pinning rows changes which records are next to each other.

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

Made for: Claude Code, Codex.

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,418 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 $0.00081 $0.01418
Opus 5 $0.00041 $0.00709
Sonnet 5 $0.00016 $0.00284
Haiku 4.5 $0.00008 $0.00142

Measured 2d ago against content hash 89c4f3d8f704, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cell-spanning 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/cell-spanning/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 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. Cell spanning is stateless and fully derived: a memoized table-level span index is rebuilt from the rows that are actually rendered, and per-cell reads are O(1) lookups against it. Sorting, filtering, pagination, and row pinning only change adjacency; spans follow automatically and never persist.

Setup

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

export const features = tableFeatures({ cellSpanningFeature })

Core Patterns

Opt columns into value-based row spanning

const columns = [
  { accessorKey: 'region', spanRows: true },
  {
    accessorKey: 'createdAt',
    spanRows: ({
      anchorValue,
      value,
    }: {
      anchorValue: unknown
      value: unknown
    }) => sameMonth(anchorValue as Date, value as Date),
  },
]

spanRows: true merges adjacent rendered rows whose values match under Object.is. Nullish values never merge under the default comparison; a predicate can opt in. Predicates are anchored: every candidate row is tested against the run's first row (anchorRow/anchorValue), which keeps runs transitive.

Declare column spans per row

const columns = [
  {
    accessorKey: 'label',
    spanColumns: ({ row }: { row: { original: { isSummary?: boolean } } }) =>
      row.original.isSummary ? Infinity : 1,
  },
]

spanColumns counts visible columns in render order and clamps to the end of the cell's pinned region, so Infinity means "the rest of my region" and a span never crosses a start/center/end pinning boundary. Cells only join a vertical run when their column spans match, so a full-width summary row never merges into the data run above it.

Render with the skip-covered-cells loop

{
  row.getVisibleCells().map((cell) => {
    const rowSpan = cell.getRowSpan()
    const colSpan = cell.getColSpan()
    if (rowSpan === 0 || colSpan === 0) return null
    return (
      <td key={cell.id} rowSpan={rowSpan} colSpan={colSpan}>
        {flexRender(cell.column.columnDef.cell, cell.getContext())}
      </td>
    )
  })
}

Read the full file on GitHub · 159 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 · 159 lines · 81 tokens per session scan A 89c4f3d8f704

Subscribe to this mod's changes

cell-spanning is a skill published in the GitHub repository TanStack/table (28,393 stars, last pushed 2d ago), licensed MIT. It adds 81 tokens to every session and 1,418 once invoked, about $0.0004 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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