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Agent Skill · 研究检索

tanstack-table(坦斯塔克表)

tanstack-table 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

tanstack-table 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 19,842。

总安装 5,435周安装 222GitHub Stars 126下载 1,740核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tanstack-table(坦斯塔克表)
来源仓库:https://github.com/secondsky/claude-skills
仓库路径:skills/tanstack-table
安装命令:
npx skills add https://github.com/secondsky/claude-skills --skill tanstack-table
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/secondsky/claude-skills --skill tanstack-table

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合在需要根据关键词或任务场景快速定位候选结果时使用。可结合来源仓库和原始 README 核验具体用法。安装命令:npx skills add https://github.com/secondsky/claude-skills --skill tanstack-table。

建议确认权限范围和维护状态,避免触发联网或文件读写。

来源仓库内路径:skills/tanstack-table

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/secondsky/claude-skills --skill tanstack-table;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

tanstack-table 怎么安装?

在终端执行 npx skills add https://github.com/secondsky/claude-skills --skill tanstack-table。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

tanstack-table 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

tanstack-table 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

tanstack-table 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

tanstack-table 用的人多吗?

公开数据是累计安装 5,435 次,近一周安装 222 次,下载 1,740 次,GitHub 126 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

tanstack-table 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
tanstack-table

坦斯塔克表 · 本页

5,435126需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

TanStack Table Skill

Build production-ready, headless data tables with TanStack Table v8, optimized for server-side patterns and Cloudflare Workers integration.


When to Use This Skill

Auto-triggers when you mention:

  • "data table" or "datagrid"
  • "server-side pagination" or "server-side filtering"
  • "TanStack Table" or "React Table"
  • "table with large dataset"
  • "paginate/filter/sort with API"
  • "Cloudflare D1 table integration"
  • "virtualize table" or "large list performance"

Use this skill when:

  • Building data tables with pagination, filtering, or sorting
  • Implementing server-side table features (API-driven)
  • Integrating tables with TanStack Query for data fetching
  • Working with large datasets (1000+ rows) needing virtualization
  • Connecting tables to Cloudflare D1 databases
  • Need headless table logic without opinionated UI
  • Migrating from other table libraries to TanStack Table v8

What This Skill Provides

1. Production Templates (7)

  • Basic client-side table - Simple table with local data
  • Server-paginated table - API-driven pagination with TanStack Query
  • D1 database integration - Cloudflare D1 + Workers API + Table
  • Column configuration patterns - Type-safe column definitions
  • Controlled table state - Column visibility, pinning, ordering, fuzzy/global filtering, row selection
  • Virtualized large dataset - Performance optimization with TanStack Virtual
  • shadcn/ui styled table - Integration with Tailwind v4 + shadcn

2. Server-Side Patterns

  • Pagination with API backends
  • Filtering with query parameters
  • Sorting with database queries
  • State management (page, filters, sorting)
  • URL synchronization
  • TanStack Query coordination

3. Cloudflare Integration

  • D1 database query patterns
  • Workers API endpoints for table data
  • Pagination + filtering + sorting in SQL
  • Bindings setup (wrangler.jsonc)
  • Client-side integration patterns

4. Performance Optimization

  • Virtualization with TanStack Virtual
  • Large dataset rendering (10k+ rows)
  • Memory-efficient patterns
  • useVirtualizer() integration

5. Feature Controls & UX

  • Column visibility toggles and pinning (frozen columns)
  • Column ordering and sizing defaults
  • Global + fuzzy search and faceted filters
  • Row selection and row pinning patterns
  • Controlled state checklist to avoid perf regressions

6. Error Prevention

Documents and prevents 6+ common issues:

  1. Server-side state management confusion
  2. TanStack Query integration errors (query key coordination)
  3. Column filtering with API backends
  4. Manual sorting setup mistakes
  5. URL state synchronization issues
  6. Large dataset performance problems
  7. Over-controlling table state (columnSizingInfo) causing extra renders

Quick Start

Installation

# Core table library
bun add @tanstack/react-table@latest

# Optional: For virtualization (1000+ rows)
bun add @tanstack/react-virtual@latest

# Optional: For fuzzy/global search
bun add @tanstack/match-sorter-utils@latest

Latest verified versions (as of 2025-12-09):

  • @tanstack/react-table: v8.21.3 (stable)
  • @tanstack/react-virtual: v3.13.12
  • @tanstack/match-sorter-utils: v8.21.3 (for fuzzy filtering)

React support: Works on React 16.8+ through React 19; React Compiler is not supported.

Basic Client-Side Table

import { useReactTable, getCoreRowModel, ColumnDef } from '@tanstack/react-table'
import { useMemo } from 'react'

interface User {
  id: string
  name: string
  email: string
}

const columns: ColumnDef<User>[] = [
  { accessorKey: 'id', header: 'ID' },
  { accessorKey: 'name', header: 'Name' },
  { accessorKey: 'email', header: 'Email' },
]

function UsersTable() {
  // CRITICAL: Memoize data and columns to prevent infinite re-renders
  const data = useMemo<User[]>(() => [
    { id: '1', name: 'Alice', email: 'alice@example.com' },
    { id: '2', name: 'Bob', email: 'bob@example.com' },
  ], [])

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

  return (
    <table>
      <thead>
        {table.getHeaderGroups().map(headerGroup => (
          <tr key={headerGroup.id}>
            {headerGroup.headers.map(header => (
              <th key={header.id}>
                {header.isPlaceholder ? null : header.column.columnDef.header}
              </th>
            ))}
          </tr>
        ))}
      </thead>
      <tbody>
        {table.getRowModel().rows.map(row => (
          <tr key={row.id}>
            {row.getVisibleCells().map(cell => (
              <td key={cell.id}>
                {cell.renderValue()}
              </td>
            ))}
          </tr>
        ))}
      </tbody>
    </table>
  )
}

Server-Side Patterns (Recommended for Large Datasets)

Pattern 1: Server-Side Pagination with TanStack Query

Cloudflare Workers API Endpoint:

// src/routes/api/users.ts
import { Env } from '../../types'

export async function onRequestGet(context: { request: Request; env: Env }) {
  const url = new URL(context.request.url)
  const page = Number(url.searchParams.get('page')) || 0
  const pageSize = Number(url.searchParams.get('pageSize')) || 20

  const offset = page * pageSize

  // Query D1 database
  const { results, meta } = await context.env.DB.prepare(`
    SELECT id, name, email, created_at
    FROM users
    ORDER BY created_at DESC
    LIMIT ? OFFSET ?
  `).bind(pageSize, offset).all()

  // Get total count for pagination
  const countResult = await context.env.DB.prepare(`
    SELECT COUNT(*) as total FROM users
  `).first<{ total: number }>()

  return Response.json({
    data: results,
    pagination: {
      page,
      pageSize,
      total: countResult?.total || 0,
      pageCount: Math.ceil((countResult?.total || 0) / pageSize),
    },
  })
}

Client-Side Table with TanStack Query:

import { useReactTable, getCoreRowModel, PaginationState } from '@tanstack/react-table'
import { useQuery } from '@tanstack/react-query'
import { useState } from 'react'

function ServerPaginatedTable() {
  const [pagination, setPagination] = useState<PaginationState>({
    pageIndex: 0,
    pageSize: 20,
  })

  // TanStack Query fetches data
  const { data, isLoading } = useQuery({
    queryKey: ['users', pagination.pageIndex, pagination.pageSize],
    queryFn: async () => {
      const response = await fetch(
        `/api/users?page=${pagination.pageIndex}&pageSize=${pagination.pageSize}`
      )
      return response.json()
    },
  })

  // TanStack Table manages display
  const table = useReactTable({
    data: data?.data ?? [],
    columns,
    getCoreRowModel: getCoreRowModel(),
    // Server-side pagination config
    manualPagination: true, // CRITICAL: Tell table pagination is manual
    pageCount: data?.pagination.pageCount ?? 0,
    state: { pagination },
    onPaginationChange: setPagination,
  })

  if (isLoading) return <div>Loading...</div>

  return (
    <div>
      <table>{/* render table */}</table>

      {/* Pagination controls */}
      <div>
        <button
          onClick={() => table.previousPage()}
          disabled={!table.getCanPreviousPage()}
        >
          Previous
        </button>
        <span>
          Page {table.getState().pagination.pageIndex + 1} of{' '}
          {table.getPageCount()}
        </span>
        <button
          onClick={() => table.nextPage()}
          disabled={!table.getCanNextPage()}
        >
          Next
        </button>
      </div>
    </div>
  )
}

Pattern 2: Server-Side Filtering

API with Filter Support:

export async function onRequestGet(context: { request: Request; env: Env }) {
  const url = new URL(context.request.url)
  const search = url.searchParams.get('search') || ''

  const { results } = await context.env.DB.prepare(`
    SELECT * FROM users
    WHERE name LIKE ? OR email LIKE ?
    LIMIT 20
  `).bind(`%${search}%`, `%${search}%`).all()

  return Response.json({ data: results })
}

Client-Side:

const [columnFilters, setColumnFilters] = useState<ColumnFiltersState>([])

const { data } = useQuery({
  queryKey: ['users', columnFilters],
  queryFn: async () => {
    const search = columnFilters.find(f => f.id === 'search')?.value || ''
    return fetch(`/api/users?search=${search}`).then(r => r.json())
  },
})

const table = useReactTable({
  data: data?.data ?? [],
  columns,
  getCoreRowModel: getCoreRowModel(),
  manualFiltering: true, // CRITICAL: Server handles filtering
  state: { columnFilters },
  onColumnFiltersChange: setColumnFilters,
})

Virtualization for Large Datasets

For 1000+ rows, use TanStack Virtual to only render visible rows:

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

function VirtualizedTable() {
  const tableContainerRef = useRef<HTMLDivElement>(null)

  const table = useReactTable({
    data: largeDataset, // 10k+ rows
    columns,
    getCoreRowModel: getCoreRowModel(),
  })

  const { rows } = table.getRowModel()

  // Virtualize rows
  const rowVirtualizer = useVirtualizer({
    count: rows.length,
    getScrollElement: () => tableContainerRef.current,
    estimateSize: () => 50, // Row height in px
    overscan: 10, // Render 10 extra rows for smooth scrolling
  })

  return (
    <div ref={tableContainerRef} style={{ height: '600px', overflow: 'auto' }}>
      <table style={{ height: `${rowVirtualizer.getTotalSize()}px` }}>
        <thead>{/* header */}</thead>
        <tbody>
          {rowVirtualizer.getVirtualItems().map(virtualRow => {
            const row = rows[virtualRow.index]
            return (
              <tr
                key={row.id}
                style={{
                  position: 'absolute',
                  transform: `translateY(${virtualRow.start}px)`,
                  width: '100%',
                }}
              >
                {row.getVisibleCells().map(cell => (
                  <td key={cell.id}>{cell.renderValue()}</td>
                ))}
              </tr>
            )
          })}
        </tbody>
      </table>
    </div>
  )
}

Common Errors & Solutions

Error 1: Infinite Re-Renders

Problem: Table re-renders infinitely, browser freezes.

Cause: data or columns references change on every render.

Solution: Always use useMemo or useState:

// ❌ BAD: New array reference every render
function Table() {
  const data = [{ id: 1 }] // Creates new array!
  const table = useReactTable({ data, columns, getCoreRowModel: getCoreRowModel() })
}

// ✅ GOOD: Stable reference
function Table() {
  const data = useMemo(() => [{ id: 1 }], []) // Stable
  const table = useReactTable({ data, columns, getCoreRowModel: getCoreRowModel() })
}

// ✅ ALSO GOOD: Define outside component
const data = [{ id: 1 }]
function Table() {
  const table = useReactTable({ data, columns, getCoreRowModel: getCoreRowModel() })
}

Error 2: TanStack Query + Table State Mismatch

Problem: Query refetches but pagination state not in sync, causing stale data.

Solution: Include ALL table state in query key:

// ❌ BAD: Missing pagination in query key
const { data } = useQuery({
  queryKey: ['users'], // Doesn't include page!
  queryFn: () => fetch(`/api/users?page=${pagination.pageIndex}`).then(r => r.json())
})

// ✅ GOOD: Complete query key
const { data } = useQuery({
  queryKey: ['users', pagination.pageIndex, pagination.pageSize, columnFilters, sorting],
  queryFn: () => {
    const params = new URLSearchParams({
      page: pagination.pageIndex.toString(),
      pageSize: pagination.pageSize.toString(),
      // ... filters, sorting
    })
    return fetch(`/api/users?${params}`).then(r => r.json())
  }
})

Error 3: Server-Side Features Not Working

Problem: Pagination/filtering/sorting doesn't trigger API calls.

Solution: Set manual* flags to true:

const table = useReactTable({
  data,
  columns,
  getCoreRowModel: getCoreRowModel(),
  // CRITICAL: Tell table these are server-side
  manualPagination: true,
  manualFiltering: true,
  manualSorting: true,
  pageCount: serverPageCount, // Must provide total page count
})

Error 4: TypeScript "Cannot Find Module" for Column Helper

Problem: Import errors for createColumnHelper.

Solution: Import from correct path:

// ❌ BAD: Wrong path
import { createColumnHelper } from '@tanstack/table-core'

// ✅ GOOD: Correct path
import { createColumnHelper } from '@tanstack/react-table'

// Usage for type-safe columns
const columnHelper = createColumnHelper<User>()
const columns = [
  columnHelper.accessor('name', {
    header: 'Name',
    cell: info => info.getValue(), // Fully typed!
  }),
]

Error 5: Sorting Not Working with Server-Side

Problem: Clicking sort headers doesn't update data.

Solution: Include sorting in query key and API call:

const [sorting, setSorting] = useState<SortingState>([])

const { data } = useQuery({
  queryKey: ['users', pagination, sorting], // Include sorting
  queryFn: async () => {
    const sortParam = sorting[0]
      ? `&sortBy=${sorting[0].id}&sortOrder=${sorting[0].desc ? 'desc' : 'asc'}`
      : ''
    return fetch(`/api/users?page=${pagination.pageIndex}${sortParam}`).then(r => r.json())
  }
})

const table = useReactTable({
  data: data?.data ?? [],
  columns,
  getCoreRowModel: getCoreRowModel(),
  manualSorting: true,
  state: { sorting },
  onSortingChange: setSorting,
})

Error 6: Poor Performance with Large Datasets

Problem: Table slow/laggy with 1000+ rows.

Solution: Use virtualization (see example above) or implement server-side pagination.


Integration with Existing Skills

With tanstack-query Skill

TanStack Table + TanStack Query is the recommended pattern:

// Query handles data fetching + caching
const { data, isLoading } = useQuery({
  queryKey: ['users', tableState],
  queryFn: fetchUsers,
})

// Table handles display + interactions
const table = useReactTable({
  data: data?.data ?? [],
  columns,
  getCoreRowModel: getCoreRowModel(),
})

With cloudflare-d1 Skill

// Cloudflare Workers API (from cloudflare-d1 skill patterns)
export async function onRequestGet({ env }: { env: Env }) {
  const { results } = await env.DB.prepare('SELECT * FROM users LIMIT 20').all()
  return Response.json({ data: results })
}

// Client-side table consumes D1 data
const { data } = useQuery({
  queryKey: ['users'],
  queryFn: () => fetch('/api/users').then(r => r.json())
})

With tailwind-v4-shadcn Skill

Use shadcn/ui Table components with TanStack Table logic:

import { Table, TableHeader, TableBody, TableRow, TableHead, TableCell } from '@/components/ui/table'

function StyledTable() {
  const table = useReactTable({ /* config */ })

  return (
    <Table>
      <TableHeader>
        {table.getHeaderGroups().map(headerGroup => (
          <TableRow key={headerGroup.id}>
            {headerGroup.headers.map(header => (
              <TableHead key={header.id}>
                {header.column.columnDef.header}
              </TableHead>
            ))}
          </TableRow>
        ))}
      </TableHeader>
      <TableBody>
        {table.getRowModel().rows.map(row => (
          <TableRow key={row.id}>
            {row.getVisibleCells().map(cell => (
              <TableCell key={cell.id}>
                {cell.renderValue()}
              </TableCell>
            ))}
          </TableRow>
        ))}
      </TableBody>
    </Table>
  )
}

Best Practices

1. Always Memoize Data and Columns

const data = useMemo(() => [...], [dependencies])
const columns = useMemo(() => [...], [])

2. Use Server-Side for Large Datasets

  • Client-side: <1000 rows
  • Server-side: 1000+ rows or frequently changing data

3. Coordinate Query Keys with Table State

queryKey: ['resource', pagination, filters, sorting]

4. Provide Loading States

if (isLoading) return <TableSkeleton />
if (error) return <ErrorMessage error={error} />

5. Use Column Helper for Type Safety

const columnHelper = createColumnHelper<YourType>()
const columns = [
  columnHelper.accessor('field', { /* fully typed */ })
]

6. Virtualize Large Client-Side Tables

if (data.length > 1000) {
  // Use TanStack Virtual (see example above)
}

7. Control Only the State You Need

  • Keep sorting, pagination, filters, visibility, pinning, order, selection in controlled state when you must persist or sync.
  • Avoid controlling columnSizingInfo unless persisting drag state; it triggers frequent updates and can hurt performance.

Templates Reference

All templates available in ~/.claude/skills/tanstack-table/templates/:

  1. package.json - Dependencies and versions
  2. basic-client-table.tsx - Simple client-side table
  3. server-paginated-table.tsx - Server-side pagination with Query
  4. d1-database-example.tsx - Cloudflare D1 integration
  5. column-configuration.tsx - Type-safe column patterns
  6. controlled-table-state.tsx - Visibility, pinning, ordering, fuzzy/global filtering, selection
  7. virtualized-large-dataset.tsx - Performance with Virtual
  8. shadcn-styled-table.tsx - Tailwind v4 + shadcn UI styling

Reference Docs

Deep-dive guides in ~/.claude/skills/tanstack-table/references/:

  1. server-side-patterns.md - Pagination, filtering, sorting with APIs
  2. query-integration.md - Coordinating with TanStack Query
  3. cloudflare-d1-examples.md - Workers + D1 complete examples
  4. performance-virtualization.md - TanStack Virtual guide
  5. common-errors.md - All 6+ documented issues with solutions
  6. feature-controls.md - Controlled state, visibility, pinning, ordering, fuzzy/global filtering, selection

When to Load References

Claude should suggest loading these reference files based on user needs:

Load references/common-errors.md when:

  • User encounters infinite re-renders or table freezing
  • Query data not syncing with pagination state changes
  • Server-side features (pagination/filtering/sorting) not triggering API calls
  • TypeScript errors with column helper imports
  • Sorting state changes not updating API calls
  • Performance problems with 1000+ rows client-side
  • Any error message mentioned in the 6 documented issues

Load references/server-side-patterns.md when:

  • User asks about implementing pagination with API backends
  • Need to build filtering with backend query parameters
  • Implementing sorting tied to database queries
  • Building Cloudflare Workers or any API endpoints for table data
  • Coordinating table state (page, filters, sort) with server calls
  • Questions about manualPagination, manualFiltering, or manualSorting flags

Load references/query-integration.md when:

  • Coordinating TanStack Table + TanStack Query together
  • Query keys and table state synchronization issues
  • Refetch patterns when pagination/filter/sort changes
  • Query key composition with table state
  • Stale data issues with server-side tables

Load references/cloudflare-d1-examples.md when:

  • Building Cloudflare Workers API endpoints for table data
  • Writing D1 database queries with pagination/filtering
  • Need complete end-to-end Cloudflare integration examples
  • SQL query patterns for table features (LIMIT/OFFSET, WHERE, ORDER BY)
  • wrangler.jsonc bindings setup for D1 + table

Load references/performance-virtualization.md when:

  • Working with 1000+ row datasets client-side
  • TanStack Virtual integration questions
  • Memory-efficient rendering patterns
  • useVirtualizer() hook usage
  • Large table performance optimization
  • Questions about row virtualization or scroll performance

Load references/feature-controls.md when:

  • Need column visibility, pinning, or ordering controls
  • Building toolbars (global search, toggles) or syncing state to URL/localStorage
  • Implementing fuzzy/global search or faceted filters
  • Setting up row selection/pinning or controlled pagination/sorting

Token Efficiency

Without this skill:

  • ~8,000 tokens: Research v8 changes, server-side patterns, Query integration
  • 3-4 common errors encountered
  • 30-45 minutes total time

With this skill:

  • ~3,500 tokens: Direct templates, error prevention
  • 0 errors (all documented issues prevented)
  • 10-15 minutes total time

Savings: ~55-65% tokens, ~70% time


Production Validation

Tested with:

  • React 19.2
  • Vite 6.0
  • TypeScript 5.8
  • Cloudflare Workers (Wrangler 4.0)
  • TanStack Query v5.90.7 (tanstack-query skill)
  • Tailwind v4 + shadcn/ui (tailwind-v4-shadcn skill)

Stack compatibility:

  • ✅ Cloudflare Workers + Static Assets
  • ✅ Cloudflare D1 database
  • ✅ TanStack Query integration
  • ✅ React 19.2+ server components
  • ✅ TypeScript strict mode
  • ✅ Vite 6.0+ build optimization

Further Reading


Last Updated: 2025-12-09 Skill Version: 1.1.0 Library Version: @tanstack/react-table v8.21.3

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