🔍代码审查 / GitHub MCP 推荐

Editable cells for `@tanstack/react-table` v9 via `@tanstack/react-form`. The table is the layout primitive; the form owns editing state. Use `createFormHook` to register reusable field components (`TextField`, `NumberField`, `SelectField`), then in each column's `cell` return `<form.AppField name={`data[${row.index}].field`}>{(field) => <field.TextField />}</form.AppField>`. Critical typing gotcha: if your row has a recursive `subRows`, use `Omit<Row, 'subRows'>` for the form row type — TanStack Form's `DeepKeys` recurses and hits TS2589. Subscribe to `form.state.values.data.length` (not the whole array) for row add/remove re-renders.

Convert a client-side `@tanstack/react-table` v9 table to server-side (manual modes). Pass server-paginated/sorted/filtered rows as `data`, set `manualPagination` / `manualSorting` / `manualFiltering` / `manualGrouping` / `manualExpanding` for whatever the server now owns, supply `rowCount` so `getPageCount()` works, and DROP the matching factory from `tableFeatures()` (no `paginatedRowModel` slot if the server paginates). Own the relevant state slices via external atoms (`useCreateAtom` + `options.atoms`) so a query can key on the slice and refetch automatically — OR via classic `state` + `on*Change` controlled state.

Ship-ready optimizations for `@tanstack/react-table` v9: tree-shake the bundle by registering ONLY the `features` you actually use; memoize `features`, `data`, and `columns` for stable identity; replace `(state) => state` with narrow selectors or per-slice `useSelector(table.atoms.<slice>)` subscriptions; and push state-driven re-renders down the tree with `<table.Subscribe>` / `<Subscribe>` so the expensive table body doesn't re-render every time you toggle a sort indicator. Don't over-optimize small tables — the default selector + inline rendering is fine until measured perf demands more.

Wiring reactivity for `@tanstack/react-table` v9. Covers `useTable` (and its second-argument selector), reading state via `table.state` / `table.store` / `table.atoms.<slice>`, rendering with `table.FlexRender`, opting subtrees into fine-grained reactivity with `<table.Subscribe>` and the standalone `<Subscribe>`, owning slices with external atoms via `useCreateAtom` + `options.atoms`, and packaging shared config into a reusable hook with `createTableHook` (`useAppTable`, `createAppColumnHelper`, `table.AppTable` / `table.AppHeader` / `table.AppCell` / `table.AppFooter`). Routing keywords: useTable, useSelector, useCreateAtom, atoms, react-store, table.Subscribe, FlexRender.

Wire up TanStack Devtools for TanStack Table in React. Mount `TanStackDevtools` with `tableDevtoolsPlugin()` once at the app root and call `useTanStackTableDevtools(table)` after each `useTable` so the table is registered as a devtools target. Live devtools are tree-shaken to no-ops in production unless you import from `@tanstack/react-table-devtools/production`.

Mechanical breaking-change migration from `@tanstack/react-table` v8 to v9. Every v8-shaped option, type, or method an agent will reproduce from muscle memory has a v9 equivalent enumerated below: `useReactTable` → `useTable`, root `get*RowModel` options → row model factories on `tableFeatures({...})` alongside their *Fns registries, `createColumnHelper<TData>` → `createColumnHelper<typeof features, TData>`, `table.getState()` → `table.state` / `table.store.state` / `table.atoms.X.get()`, `sortingFn` → `sortFn`, `enablePinning` → split, `_`-prefixed APIs unprefixed, `ColumnSizing` split into `columnSizingFeature` + `columnResizingFeature`. For incremental migration, `useLegacyTable` from `@tanstack/react-table/legacy` accepts the v8 API on the v9 engine — deprecated, larger bundle, no `table.Subscribe`. Long-term you migrate every table off it.

End-to-end first-table journey for `@tanstack/react-table` v9. Install the React adapter, declare `features` via `tableFeatures()` (row model factories and *Fns registries live on the features object alongside feature flags), create a column helper with both `TFeatures` and `TData` generics, instantiate `useTable`, and render with `<table.FlexRender>`. New users land here, not on `useLegacyTable`.

`@tanstack/react-table` v9 does NOT include virtualization — pair with `@tanstack/react-virtual`. Standard row-virtualization pattern: get the row array from `table.getRowModel().rows`, feed `rows.length` to `useVirtualizer({ count, estimateSize, getScrollElement, ... })` in the DEEPEST possible component (a `TableBody`, NOT `App`), iterate `rowVirtualizer.getVirtualItems()` instead of `rows.map`, absolute-position each row with `transform: translateY(virtualRow.start)px`, and render `<tbody>` as a CSS grid with a fixed total height. Column virtualization uses `horizontal: true` plus padding-left/right placeholder cells. An experimental ref-mutation variant skips React reconciliation for ~10% extra perf but the standard pattern is the default.

`@tanstack/react-table` v9 is built on TanStack Store. Each state slice (sorting, pagination, rowSelection, columnFilters, …) is a separate atom. The table exposes three READ surfaces — `table.atoms.<slice>` (per-slice readonly), `table.store` (flat readonly view), `table.state` (selector output from `useTable`) — and two WRITE paths — internal `table.baseAtoms.<slice>` OR YOUR `options.atoms[slice]` if you opt to own the slice. Use `useCreateAtom` from `@tanstack/react-store` for stable identity, `useSelector` for fine-grained reads, and pass the atom in `options.atoms` so the table writes through it directly — no `on*Change` handler required.

Server-side / async data flow for `@tanstack/react-table` v9 with `@tanstack/react-query`. Canonical pattern: external pagination atom via `useCreateAtom<PaginationState>` + `options.atoms` (NOT `state + on*Change`), pagination object as part of `queryKey`, `manualPagination: true`, `placeholderData: keepPreviousData` to avoid the 0-rows flash, and `defaultData = useMemo(() => [], [])` to keep `data` reference stable between fetches. `rowCount` from the API response so `getPageCount()` works.

Minify CSS files for production deployment

Comprehensive mobile testing for iOS and Android platforms including gestures, sensors, permissions, device fragmentation, and performance. Use when testing native apps, hybrid apps, or mobile web, ensuring quality across 1000+ device variants.

Comprehensive mobile testing for iOS and Android platforms including gestures, sensors, permissions, device fragmentation, and performance. Use when testing native apps, hybrid apps, or mobile web, ensuring quality across 1000+ device variants.

Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database migrations.

Use this skill when the user asks to push a notification, send a message to their mobile phone, or communicate with the Android Yanzi app from the PC.

Use this skill when deploying, installing, launching, or serving mesh-llm on a macOS machine (local or remote over SSH), including installing a release, shipping a dev build bundle, codesign/quarantine fixes, choosing a model, and verifying it serves.

Use this skill when installing, deploying, launching, serving, or troubleshooting mesh-llm on a Windows machine — PowerShell install via install.ps1, flavor selection (CUDA/ROCm/Vulkan/CPU), source builds, the contrib helper scripts, and verifying it serves.

Use this skill when deploying, installing, launching, or serving mesh-llm on a remote Linux GPU node (rented GPUs like Vast.ai or RunPod, or a self-managed CUDA server), including installing the CUDA build, choosing a model, keeping it alive under a supervisor, and verifying it serves.

ClickHouse queries, Goose migrations, chdb test schema, or telemetry storage paths.

后端开发 Agent — API 设计、数据库优化、服务器端逻辑、认证授权、性能优化

Review a change (a PR, the current branch diff, or a set of files) or audit a component or the whole tree for missing or incorrect security hardening. Reasons about trust boundaries from first principles, then checks the code against Symfony's hardening-invariant families and runs the .github/sa-tools gates. Use when the user says "security review", "security audit", "check hardening", "review this PR/branch for security", "audit <component> for <vuln class>", "is any hardening missing", or names a vulnerability class to hunt for.

Migra workflows de n8n/Make al ecosistema Claude Code. Analiza JSONs, mapea nodos, propone implementacion (skills, crons, web apps, dashboards) y detecta mejoras. Usa cuando el usuario pegue un JSON de n8n o mencione migrar automatizaciones.

Crea, valida y despliega workflows de n8n desde Claude Code usando el MCP n8n-mcp. Úsala cuando el usuario diga "crea un workflow en n8n", "monta un n8n que haga X", "convierte esta idea en automatización", "diseña un flujo n8n", o describa una secuencia de pasos automatizables (recibir webhook → procesar → enviar a Slack, scheduler diario que lee de Google Sheets, etc.). Activable también con frases como "auto­matización", "n8n", "workflow", "trigger". NO uses esta skill para migrar workflows existentes de n8n a Claude — para eso usa automation-n8n-to-claude.

Prüft Datensammlungen, Auswahl/Anordnung, factual data, database licensing und EU/US-Missverständnisse im Us Copyright Registrierung Verlag.

Reviews stored memory quality by detecting duplicates, contradictions, and stale entries with actionable recommendations. Use when search results seem conflicting, before running dream consolidation, or for periodic memory hygiene audits.

Safely refactor code with test coverage as a safety net. Use `--diff` to simplify just the current working diff before committing.

Integration testing with real dependencies in throwaway Docker containers using the Testcontainers Node.js API - GenericContainer, exposed ports, wait strategies, module containers, Docker Compose environments, and reliable cleanup.

Browser automation via Chrome/Chromium CDP — open, snapshot, click, screenshot. For testing web apps, mobile layouts, and automated interactions without Playwright/Puppeteer.

Write comprehensive, behaviour-driven unit tests for Gradio frontend Svelte components using Vitest browser mode, Playwright, and the @self/tootils test utilities.

Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so the results will actually be interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls, factorial or fractional-factorial designs, design of experiments (DOE), screening many factors, response-surface optimization, crossover or repeated-measures or split-plot designs, cluster/group randomization, Latin squares, plate layouts, batch/run-order effects, replication vs. pseudoreplication, or sequential/adaptive/group-sequential designs. Trigger this even for informal phrasings like "how should I set up this experiment", "how do I avoid confounding", "what's the best way to test these 6 factors", or "assign these mice to conditions". For computing the sample size or power once the design is chosen, use statistical-power; for analyzing data already collected, use statistica

Check civitai PROD deployment status across the live Tekton -> Flux -> Flagger chain on the DataPacket cluster (kubectl, read-only). Tekton/Flagger cluster state is the primary truth; the GitHub Deployments API is kept as a public cross-check. Use to see where a deploy is in the chain, watch it to completion, or debug a build/canary failure.

Run end-to-end smoke tests for the Mycelium cursor adapter. Verifies cursor-agent prereqs, single-host dispatch, multi-host dispatch through the hub, cross-family negotiation with claude_code/openclaw, workspace asset drift, and auth failures. Use when validating the cursor integration on a fresh install, after touching cursor-family code (`integrations/cursor/**`, `daemon/dispatch.py`, `daemon/runner.py`), or after upgrading `cursor-agent` itself.

Safe multi-file refactoring with automatic rollback. Establishes a type/test baseline, plans all changes, executes file-by-file, and verifies zero regressions. Reverts if verification fails after two fix attempts. Handles renames, extracts, moves, splits, merges, and inlines.

Generate comprehensive eval tests for any MCP server using @mcpjam/sdk. Supports Jest and Vitest with deterministic and LLM-driven test patterns.

Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.

Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team.

Motor de Loop Engineering. Convierte trabajo repetitivo en sistemas: se diseñan UNA vez y se ejecutan N veces con verificación, compuertas humanas y aprendizaje acumulado (REGLAS.md). Tres funciones: (1) INSTALACIÓN — en el primer uso, entrevista de 5 preguntas para personalizar la skill al negocio, herramientas y límites de cada usuario; (2) RADAR — detectar cuándo una tarea se está convirtiendo en loop y preguntar «¿Lo diseñamos o lo disparo?»; (3) FÁBRICA — diseñar el loop (canvas de 9 campos), dispararlo, operarlo y evaluarlo. Usar siempre que el usuario diga "loop", "sistematiza esto", "automatiza este proceso", "línea de producción", "todas las semanas", "para cada cliente", "hazlo en lote", "diseña el sistema", "diseña el loop", "monta el sistema de", "deja de hacerlo a mano", "loop engineering", "convierte esto en un sistema", "configura la skill de loops", o pida repetir una tarea ya hecha 2+ veces en la conversación. Activar proactivamente (modo RADAR) a la 3ª repetición de una misma tarea con estru

Writing or debugging tests, choosing unit vs integration style, Postgres/ClickHouse tests, regenerating ClickHouse test schema, or exporting test helpers from packages without pulling test code into production bundles.

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

Manage SOP templates, scheduled automation tasks, and run history through AI-callable tools.

Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commits and PRs. Use when reviewing code quality, refactoring, checking if AI changes degraded a file, or before commit/PR.

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.

Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.

Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.

Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.

GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.