frontend-api-patterns

Implement parallelized data fetching and route-level prefetching for React apps using TanStack Query v5, Suspensive, and TanStack Router.

1|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/p-iknow/fullstack-forge --skill frontend-api-patterns
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Skill: frontend-api-patterns
Source: https://github.com/p-iknow/fullstack-forge/tree/main/.claude/skills/frontend-api-patterns
Command: npx skills add https://github.com/p-iknow/fullstack-forge --skill frontend-api-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Frontend API Patterns provides a concise set of strategies to prevent data fetching waterfalls, centralize prefetching, and maintain predictable data flow in React applications that use TanStack Query and Suspensive, making UIs faster and error handling clearer.

Core Features & Use Cases

  • Route-level prefetching: Use route loaders with ensureQueryData and a router-provided queryClient to block-render essential data before the component mounts.
  • Server-only functions: Encapsulate secret-bearing or backend-only logic using server functions to avoid leaking environment variables into loaders.
  • Suspense and query cohesion: Co-locate query declaration, transformation, and rendering using SuspenseQueries and SuspenseQuery to enable parallel fetching and conditional loading.
  • Mutation patterns: Manage mutations with namespaced hooks or render-prop Mutation components to support conditional and looped mutation flows without breaking Hooks rules.
  • Prefetch and composition: Preload optional data on user intent with prefetch wrappers and compose multiple API calls into a single query function using Promise.all when appropriate.
  • Use case: Convert an orders detail route that currently waterfalls into a route that prefetches order and items in the loader and renders both via SuspenseQueries so the page becomes fast and resilient.

Quick Start

Convert your /orders/$orderId route to use a loader that calls ensureQueryData for order and items, provide queryClient via router context, and read data in the component with SuspenseQueries so both requests load in parallel.

Frequently Asked Questions about frontend-api-patterns

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

FAQPage Schema
How do I prevent data fetching waterfalls in React with TanStack Query?

To prevent data fetching waterfalls in React, use route loaders with ensureQueryData to prefetch essential data before a component mounts, and leverage SuspenseQueries to fetch multiple resources in parallel. This avoids sequential requests and makes UIs faster.

What is the best way to prefetch data at the route level using TanStack Router?

The best way to prefetch data at the route level is using a route loader that calls ensureQueryData with a queryClient provided through the router context. This blocks rendering until essential data is fetched, ensuring predictable data flow.

Can I use SuspenseQueries for conditional loading and parallel fetching in React?

Yes, you can use SuspenseQueries and SuspenseQuery patterns to co-locate query declaration, transformation, and rendering. This enables parallel fetching and conditional loading, allowing you to load multiple API responses cohesively without waterfalls.

How do I manage conditional mutations without breaking React Hooks rules?

Manage conditional mutations by using namespaced hooks or render-prop Mutation components. These patterns support conditional and looped mutation flows effectively, allowing you to execute mutations dynamically without violating React Hooks rules.

Do I need server functions to protect environment variables in route loaders?

Yes, you need server-only createServerFn usage to encapsulate secret-bearing or backend-only logic. This prevents leaking environment variables into client-side loaders while keeping your data fetching logic centralized and secure.

How to compose multiple API calls into a single query function with TanStack Query?

Compose multiple API calls into a single query function using Promise.all to avoid waterfalls. Combine this with prefetch wrappers to preload optional data on user intent, ensuring resilient and fast parallel data fetching in your React application.