ecommerce-caching

Implement layered CDN and Redis caching with event-driven invalidation for ecommerce storefronts.

14|3|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/tomtoto757/ecomm-ai-skills-hub --skill ecommerce-caching-tomtoto757
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ecommerce-caching
Source: https://github.com/tomtoto757/ecomm-ai-skills-hub/tree/main/skills/platform-integrations-infrastructure/finsilabs/infrastructure-performance/ecommerce-caching
Command: npx skills add https://github.com/tomtoto757/ecomm-ai-skills-hub --skill ecommerce-caching-tomtoto757

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Slow storefront pages and poor CDN hit rates caused by unoptimized cache headers, personalized content being embedded in cached HTML, and lack of event-driven invalidation for product and price changes. This Skill provides a layered caching strategy that balances CDN edge caching, application-level Redis caching, and targeted cache purges so anonymous users see fast pages while personalized data is hydrated client-side.

Core Features & Use Cases

  • Multi-layer caching guidance covering CDN edge, reverse-proxy (Varnish), and Redis application caches for product, collection, and asset content.
  • Platform-specific recommendations for Shopify, WooCommerce, BigCommerce, and custom/headless storefronts, including what each platform manages and what the developer must control.
  • Concrete HTTP header patterns (Cache-Control with stale-while-revalidate, surrogate-key tagging) and cache-aside Redis patterns with fire-and-forget writes and setex TTLs.
  • Event-driven invalidation workflows that purge related product and collection caches on price changes and only purge on inventory stock-status transitions.
  • Operational best practices: strip marketing query params, avoid Vary: Cookie for cacheable pages, monitor CDN hit rate, and set Redis memory policies to prevent unbounded growth.

Quick Start

Audit my storefront and produce cache-control header rules, surrogate-key tagging strategy, and Redis cache-aside patterns for product, collection, asset, and personalization endpoints.

Frequently Asked Questions about ecommerce-caching

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

FAQPage Schema
How do I implement cache invalidation for ecommerce storefronts without breaking cart personalization?

Layered ecommerce caching combines CDN edge caching with stale-while-revalidate headers, Redis application cache-aside with setex TTLs, and event-driven invalidation using surrogate-key tagging to purge product and collection pages on price or stock changes.

How do I set Cache-Control headers for Shopify or WooCommerce product pages?

Set Cache-Control headers for Shopify or WooCommerce product pages using stale-while-revalidate directives at the CDN edge, combined with surrogate-key tagging to enable targeted purges when prices or inventory change.

Does Redis cache-aside work with Varnish and CDN edge caching for headless storefronts?

Redis cache-aside works with Varnish and CDN edge caching for headless storefronts by storing application-level query results with setex TTLs, while Varnish and the CDN handle HTTP-level edge caching.

What's the best way to purge CDN cache when product prices change?

The best way to purge CDN cache when product prices change is through event-driven invalidation using surrogate-key tagging, which allows you to selectively purge related product and collection caches without clearing the entire cache.

Why does my CDN hit rate drop when using Vary: Cookie on cacheable storefront pages?

Your CDN hit rate drops when using Vary: Cookie on cacheable storefront pages because it fragments the cache across different user sessions, so you should avoid Vary: Cookie and strip marketing query params for cacheable content.

When should I only purge inventory caches instead of all product data?

You should only purge inventory caches when stock-status transitions occur, such as moving from in-stock to out-of-stock, rather than purging on every inventory quantity update, to maintain high cache efficiency.