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PremModhaOfficial
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tanstack-query-patterns

Generate typed TanStack Query v5 hooks and service-layer code for DuckDB data integration.

1|Updated Apr 17, 2026
Search Tags:#caching#frontend#tanstack#hooks#react-query#data-fetching#query-client
One-click install
npx skills add https://github.com/PremModhaOfficial/motadata-ai-pipeline --skill tanstack-query-patterns-premmodhaofficial
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tanstack-query-patterns
Source: https://github.com/PremModhaOfficial/motadata-ai-pipeline/tree/main/.claude/skills/tanstack-query-patterns
Command: npx skills add https://github.com/PremModhaOfficial/motadata-ai-pipeline --skill tanstack-query-patterns-premmodhaofficial

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TanStack Query patterns streamline server-state management in frontend apps by providing a consistent approach to data fetching, caching, and state synchronization across features.

Core Features & Use Cases

  • Patterns for QueryClient configuration, hooks, caching strategies, optimistic updates, and error handling.
  • Use cases include generating API hooks, service files, and server-state management code for DuckDB integration and data layers.
  • Real-world example: Bootstrapping a feature with a dedicated query client and typed hooks to fetch, mutate, and invalidate data.

Quick Start

Use this skill to generate the API hooks and data-layer scaffolding for a new feature.

Frequently Asked Questions about tanstack-query-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure TanStack Query for server state management in React?▼

TanStack Query server state management requires configuring a QueryClient and applying patterns for data fetching, caching, and synchronization across feature API hooks and service layers.

What is the best way to structure TanStack Query hooks and service layers?▼

The best way to structure TanStack Query hooks is to use a pattern-driven approach that generates typed hooks and service files, ensuring consistent query key management and integration with your data layer.

How do I handle cache invalidation and optimistic updates with React Query?▼

Handling cache invalidation and optimistic updates with React Query requires applying structured patterns for query key management and mutation hooks to synchronize server data after modifications.

Does this TanStack Query pattern support integration with a DuckDB data layer?▼

Yes, these TanStack Query patterns support DuckDB data layer integration, providing structured scaffolding to generate server-state management code and data-fetching utilities for your database features.

How do I implement error handling and prefetching in TanStack Query v5?▼

Implementing error handling and prefetching in TanStack Query v5 involves applying specific patterns within your typed hooks and QueryClient configuration to manage data fetching edge cases and load states.

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