lazy-prefetch-pattern

Lazily prefetches and dehydrates pending React Query v5 queries for TSX components.

Updated Oct 18, 2025

Search Tags:#react-query #prefetch #data-fetching #tsx #lazy-prefetch #dehydrate

Ready to run

npx skills add https://github.com/masonjames/sparka --skill lazy-prefetch-pattern-masonjames

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lazy-prefetch-pattern
Source: https://github.com/masonjames/sparka/tree/main/.claude/skills/lazy-prefetch-pattern
Command: npx skills add https://github.com/masonjames/sparka --skill lazy-prefetch-pattern-masonjames

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables React applications to reduce perceived latency by lazily prefetching pending queries with React Query v5 and dehydrating the result for instant reuse on subsequent renders.

Core Features & Use Cases

On-demand prefetching: trigger prefetch for queries when users navigate or interact with TSX components.
Dehydration & rehydration: store prefetched data in a dehydrated state for quick hydration on demand.
Use Case: accelerate initial renders in data-heavy dashboards without waking all queries upfront.

Quick Start

Configure your React Query cache to lazily prefetch pending queries for TSX components and dehydrate the cache for faster subsequent renders.

Frequently Asked Questions about lazy-prefetch-pattern

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

FAQPage Schema

How do I prefetch React Query data on navigation to reduce perceived latency?▼

Prefetching React Query data on navigation involves triggering pending queries lazily during user interaction or render. This warms the cache on-demand, reducing perceived latency by preparing data before it is immediately needed without waking all queries upfront.

What is lazy prefetching and when should I use it in a data-heavy dashboard?▼

Lazy prefetching is an on-demand data fetching technique that triggers queries during navigation or interaction. Use it in data-heavy dashboards to accelerate initial renders without eagerly waking all queries upfront, optimizing resource usage and load times.

Does lazy prefetching work with React Query v5 and TSX components?▼

Yes, lazy prefetching works with React Query v5 and TSX-driven interfaces. It applies prefetching logic directly within TSX components, enabling cache warming on render or navigation specifically for React Query v5 applications.

How do I dehydrate and rehydrate React Query state for instant reuse?▼

Dehydrating React Query state involves storing prefetched data in a dehydrated state for quick hydration on demand. This allows instant reuse of cached data on subsequent renders, accelerating application load times without refetching.