What is Cache Augmented Generation (CAG)?

CAG is a pattern where you pre-cache large sets of documents directly in the prompt window rather than performing real-time RAG retrieval, which can improve speed and simplify architecture.

Can I cache responses with high temperature settings?

It is generally an anti-pattern to cache responses with high temperature because the output is non-deterministic; caching works best for deterministic, low-temperature queries.

Does this skill support Anthropic-specific caching features?

Yes, it provides specific implementation guidance and best practices for Claude's native prompt caching capabilities, including optimal prefix structuring.

How does prompt caching help reduce LLM costs?

Prompt caching allows the model to reuse previously processed token prefixes, meaning you are only billed once for the initial processing instead of paying for the same tokens on every subsequent request.

LLM Prompt Caching Specialist

Name: LLM Prompt Caching Specialist
Author: claudiodearaujo

byclaudiodearaujo

•

Data Science & ML

Optimizes AI performance and reduces operational costs by implementing strategic prompt caching, response caching, and Cache Augmented Generation (CAG) patterns.

This skill provides a comprehensive framework for managing LLM efficiency through multi-level caching strategies. It enables developers to implement Anthropic’s native prompt caching, semantic response matching, and Cache Augmented Generation (CAG) to replace expensive RAG retrieval processes. By focusing on prefix optimization and intelligent cache invalidation, this skill helps reduce API costs by up to 90% while significantly lowering latency for repetitive or document-heavy queries.

Key Features

01Response caching and semantic similarity matching

02KV-cache and TTL management strategies

03Cost-reduction optimization for high-token workflows

04Cache Augmented Generation (CAG) implementation

051 GitHub stars

06Anthropic native prompt prefix caching

Use Cases

01Optimizing document-heavy applications by pre-caching context in the prompt

02Reducing latency in production environments with semantic response reuse

03Scaling high-traffic chatbots with recurring system prompts or context

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro prompt-caching

For use in Claude.ai and ChatGPT

Download Skill