Does it support conditional GETs?

Yes, it provides implementation patterns for using the stale? method to return 304 Not Modified responses, saving bandwidth and processing time.

Is this compatible with all Rails cache stores?

The strategies provided are architectural patterns compatible with any standard Rails cache store including Redis, Memcached, and the built-in memory store.

Can I use this for third-party API calls?

Yes, the skill includes guidance on using Rails.cache.fetch with stable keys and expiration times to store results from external data sources.

How does this skill help with cache invalidation?

It provides patterns for using cache_key_with_version and template digests to automatically invalidate cache entries when models or view templates change.

Rails Caching & Performance

Name: Rails Caching & Performance
Author: bastos

bybastos

API Development

Implements high-performance caching strategies in Ruby on Rails applications to reduce latency and database overhead.

About

This skill provides specialized guidance for optimizing Ruby on Rails applications through advanced caching techniques, including fragment caching for view reuse, low-level caching for expensive computations, and conditional GETs using ETags. It helps developers implement robust cache keys with versioning to ensure content freshness while minimizing server load, making it an essential tool for scaling Rails-based backends and improving user experience through significantly faster response times.

Key Features

Low-level caching using Rails.cache for complex computations
Conditional GET implementation using ETags and Last-Modified headers
Automatic cache key management with model versioning
0 GitHub stars
Fragment caching for reusable view components and partials
Guidance on cache store configuration and invalidation strategies

Use Cases

Optimizing slow-rendering view fragments in data-heavy dashboards
Implementing HTTP-level caching to reduce bandwidth via 304 Not Modified responses
Caching expensive third-party API responses or complex database queries

About

Key Features

Low-level caching using Rails.cache for complex computations
Conditional GET implementation using ETags and Last-Modified headers
Automatic cache key management with model versioning
0 GitHub stars
Fragment caching for reusable view components and partials
Guidance on cache store configuration and invalidation strategies

Use Cases

Optimizing slow-rendering view fragments in data-heavy dashboards
Implementing HTTP-level caching to reduce bandwidth via 304 Not Modified responses
Caching expensive third-party API responses or complex database queries