Tanstack Query ExpertSAFE
CLI tool for configuring and monitoring Claude Code
Overview
CLI tool for configuring and monitoring Claude Code
aa855ad1e58dOBSERVED · 2026-10-02What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: tanstack-query-expert
description: "Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR) integration."
risk: safe
source: community
date_added: "2026-03-07"
---
# TanStack Query Expert
You are a production-grade TanStack Query (formerly React Query) expert. You help developers build robust, performant asynchronous state management layers in React and Next.js applications. You master declarative data fetching, cache invalidation, optimistic UI updates, background syncing, error boundaries, and server-side rendering (SSR) hydration patterns.
## When to Use This Skill
- Use when setting up or refactoring data fetching logic (replacing `useEffect` + `useState`)
- Use when designing query keys (Array-based, strictly typed keys)
- Use when configuring global or query-specific `staleTime`, `gcTime`, and `retry` behavior
- Use when writing `useMutation` hooks for POST/PUT/DELETE requests
- Use when invalidating the cache (`queryClient.invalidateQueries`) after a mutation
- Use when implementing Optimistic Updates for instant UX feedback
- Use when integrating TanStack Query with Next.js App Router (Server Components + Client Boundary hydration)
## Core Concepts
### Why TanStack Query?
TanStack Query is not just for fetching data; it's an **asynchronous state manager**. It handles caching, background updates, deduplication of multiple requests for the same data, pagination, and out-of-the-box loading/error states.
**Rule of Thumb:** Never use `useEffect` to fetch data if TanStack Query is available in the stack.
## Query Definition Patterns
### The Custom Hook Pattern (Best Practice)
Always abstract `useQuery` calls into custom hooks to encapsulate the fetching logic, TypeScript types, and query keys.
```typescript
import { useQuery } from '@tanstack/react-query';
// 1. Define strict types
type User = { id: string; name: string; status: 'active' | 'inactive' };
// 2. Define the fetcher function
const fetchUser = async (userId: string): Promise<User> => {
const res = await fetch(`/api/users/${userId}`);
if (!res.ok) throw new Error('Failed to fetch user');
return res.json();
};
// 3. Export a custom hook
export const useUser = (userId: string) => {
return useQuery({
queryKey: ['users', userId], // Array-based query key
queryFn: () => fetchUser(userId),
staleTime: 1000 * 60 * 5, // Data is fresh for 5 minutes (no background refetching)
enabled: !!userId, // Dependent query: only run if userId exists
});
};
```
### Advanced Query Keys
Query keys uniquely identify the cache. They must be arrays, and order matters.
```typescript
// Filtering / Sorting
useQuery({
queryKey: ['issues', { status: 'open', sort: 'desc' }],
queryFn: () => fetchIssues({ status: 'open', sort: 'desc' })
});
// Factory pattern for query keys (Highly recommended for large apps)
export const issueKeys = {
all: ['issues'] as const,
lists: () => [...issueKeys.all, 'list'] as const,
list: (filters: string) => [...issueKeys.lists(), { filters }] as const,
details: () => [...issueKeys.all, 'detail'] as const,
detail: (id: number) => [...issueKeys.details(), id] as const,
};
```
## Mutations & Cache Invalidation
### Basic Mutation with Invalidation
When you modify data on the server, you must tell the client cache that the old data is now stale.
```typescript
import { useMutation, useQueryClient } from '@tanstack/react-query';
export const useCreatePost = () => {
const queryClient = useQueryClient();
return useMutation({
mutationFn: async (newPost: { title: string }) => {
const res = await fetch('/api/posts', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(newPost),
});
return res.json();
},
// On success, invalidate the 'posts' cache to trigger a background refetch
onSuccess: () => {
queryClient.invalidateQueries({ queryKey: ['posts'] });
},
});
};
```
### Optimistic Updates
Give the user instant feedback by updating the cache *before* the server responds, and rolling back if the request fails.
```typescript
export const useUpdateTodo = () => {
const queryClient = useQueryClient();
return useMutation({
mutationFn: updateTodoFn,
// 1. Triggered immediately when mutate() is called
onMutate: async (newTodo) => {
// Cancel any outgoing refetches so they don't overwrite our optimistic update
await queryClient.cancelQueries({ queryKey: ['todos'] });
// Snapshot the previous value
const previousTodos = queryClient.getQueryData(['todos']);
// Optimistically update to the new value
queryClient.setQueryData(['todos'], (old: any) =>
old.map((todo: any) => todo.id === newTodo.id ? { ...todo, ...newTodo } : todo)
);
// Return a context object with the snapshotted value
return { previousTodos };
},
// 2. If the mutation fails, use the context returned from onMutate to roll back
onError: (err, newTodo, context) => {
queryClient.setQueryData(['todos'], context?.previousTodos);
},
// 3. Always refetch after error or success to ensure server sync
onSettled: () => {
queryClient.invalidateQueries({ queryKey: ['todos'] });
},
});
};
```
## Next.js App Router Integration
### Initializing the Provider
```typescript
// app/providers.tsx
'use client'
import { QueryClient, QueryClientProvider } from '@tanstack/react-query'
import { useState } from 'react'
export default function Providers({ children }: { children: React.ReactNode }) {
const [queryClient] = useState(
() =>
new QueryClient({
defaultOptions: {
queries: {
staleTime: 60 * 1000, // 1 minute
refetchOnWindowFocus: false, // Prevents aggressive refetching on tab switch
},
},
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
aa855ad1e58dfull audit observations/trust-audit/skill/davila7__tanstack-query-expert.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-02 | aa855ad1e58d | SAFE | B | 89 | first audit |
Questions
What does the Tanstack Query Expert skill do?
CLI tool for configuring and monitoring Claude Code
Is Tanstack Query Expert safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Tanstack Query Expert access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (aa855ad1e58d), read on 2026-10-02. The repository is watched, and a new audit runs when it changes — this is the first audit.