Can this skill help debug cache HIT/MISS issues?

Yes, it includes guidance on checking cache status in response headers and configuring development logging to monitor fetch behavior.

What is the benefit of tag-based revalidation over path-based?

Tag-based revalidation allows for more granular control, enabling you to invalidate specific data types across multiple pages without purging entire route segments.

How does this skill help with Next.js 15 features?

It provides specific patterns for Next.js 15 experimental features including dynamicIO, custom cacheLife profiles, and the latest Partial Prerendering (PPR) configurations.

Does it support non-fetch data caching?

Absolutely. It provides implementation details for unstable_cache, which is essential for caching database queries and other non-fetch data sources.

Next.js Cache Patterns

Name: Next.js Cache Patterns
Author: Naw3

byNaw3

API Development

Optimizes Next.js application performance by implementing advanced caching layers, Partial Prerendering (PPR), and granular revalidation strategies.

About

This skill equips Claude with specialized knowledge for mastering the Next.js App Router caching architecture. It provides implementation patterns for Request Memoization, Data Cache, Full Route Cache, and Router Cache. Developers can use this skill to correctly implement modern features like Next.js 15's cacheLife profiles, configure Partial Prerendering (PPR) for hybrid static-dynamic pages, and manage complex revalidation workflows using tags and paths. By following these patterns, users can significantly reduce server load and improve Core Web Vitals while avoiding common pitfalls like over-invalidation or accidental dynamic opt-outs.

Key Features

Route segment configurations for controlling rendering modes and ISR intervals
0 GitHub stars
Granular on-demand revalidation using revalidateTag and revalidatePath
Next.js 15+ cacheLife profiles for custom stale-while-revalidate configurations
Function-level caching for database queries using unstable_cache
Partial Prerendering (PPR) setup for combining static shells with dynamic streaming

Use Cases

Optimizing high-traffic e-commerce sites with a mix of static content and real-time inventory
Reducing database costs by caching expensive server-side queries and API responses
Implementing efficient dashboard rendering using streaming and dynamicIO

About

Key Features

Route segment configurations for controlling rendering modes and ISR intervals
0 GitHub stars
Granular on-demand revalidation using revalidateTag and revalidatePath
Next.js 15+ cacheLife profiles for custom stale-while-revalidate configurations
Function-level caching for database queries using unstable_cache
Partial Prerendering (PPR) setup for combining static shells with dynamic streaming

Use Cases

Optimizing high-traffic e-commerce sites with a mix of static content and real-time inventory
Reducing database costs by caching expensive server-side queries and API responses
Implementing efficient dashboard rendering using streaming and dynamicIO