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caching-standard

Official

Speed API calls with layered caching.

Software Engineering#performance#redis#backend#cache#invalidation#lru-cache
Authorimaginationeverywhere
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Implement multi-level caching with Redis and in-memory LRU patterns to significantly reduce latency and database load in high-traffic APIs.

Core Features & Use Cases

  • Multi-level caching with L1 in-memory LRU and L2 Redis to provide fast, deterministic lookups with backfill.
  • Tag-based invalidation and TTL-driven expiration to keep data fresh while minimizing recomputation.
  • Use cases include reducing DB reads for user sessions, product catalogs, and frequently accessed configuration data.

Quick Start

Configure and deploy a two-level caching layer (L1 in-memory and L2 Redis) to speed up API responses and reduce database load.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: caching-standard
Download link: https://github.com/imaginationeverywhere/clara-code/archive/main.zip#caching-standard

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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