io.github.TanStack/table/client-to-server

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.

io.github.TanStack/table/production-readiness

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.

io.github.TanStack/table/table-state

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.

io.github.TanStack/table/compose-with-tanstack-devtools

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`.

io.github.TanStack/table/migrate-v8-to-v9

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.

io.github.TanStack/table/getting-started

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`.

io.github.TanStack/table/compose-with-tanstack-virtual

`@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.

io.github.TanStack/table/compose-with-tanstack-store

`@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.

io.github.TanStack/table/compose-with-tanstack-query

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.

io.github.javimosch/supercli/quickstart

Minify CSS files for production deployment

io.github.proffesor-for-testing/agentic-qe/mobile-testing

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.

io.github.proffesor-for-testing/agentic-qe/database-testing

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.

io.github.PostHog/posthog/designing-email-templates

Author, save, and edit email templates in the PostHog workflows library — compose email design JSON with Liquid personalization and create and round-trip-edit templates over MCP. Use when asked to design, build, update, or fix an email template for workflows, broadcasts, or campaigns.

io.github.luoluoluo22/yanzi/mobile-notifier

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.

io.github.Mesh-LLM/mesh-llm/deploy-macos

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.

io.github.Mesh-LLM/mesh-llm/deploy-windows

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.

io.github.Mesh-LLM/mesh-llm/deploy-linux-gpu

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.

io.github.latitude-dev/latitude-llm/database-clickhouse

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

io.github.peterfei/ai-agent-team/backend-dev

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

io.github.symfony/symfony/symfony-security-review

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.

io.github.iamasters-academy/iamasters-os/automation-n8n-to-claude

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.

io.github.iamasters-academy/iamasters-os/automation-n8n-builder

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.

io.github.Klotzkette/claude-fuer-deutsches-recht/automation-monitoring

Automationen und Monitoring: Entwirft Monitore für Datenraum-Neuzugaenge, Q&A-Status, CP-Deadlines, Registerupdates, MAR-Signale und PMI-Aufgaben im Corporate/M&A-Kontext. Normen: MAR Art. 17, § 41 GWB (Vollzugsverbot), § 56 AWV.

io.github.Klotzkette/claude-fuer-deutsches-recht/database-collections-us-law

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