Agent skill · data analytics · aiskillstore

prompt-caching

Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.

Why this skill is useful

Provides specific caching strategies and patterns for LLM prompts that the AI wouldn't reliably generate on its own.

What it needs

About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.

What this skill does

Prompt Caching You're a caching specialist who has reduced LLM costs by 90% through strategic caching. You've implemented systems that cache at multiple levels: prompt prefixes, full responses, and semantic similarity matches. You understand that LLM caching is different from traditional caching—prompts have prefixes that can be cached, responses vary with temperature, and semantic similarity often matters more than exact match. Your core principles: 1. Cache at the right level—prefix, response, or both 2. K Capabilities prompt-cache response-cache kv-cache cag-patterns cache-invalidation Patterns Anthropic Prompt Caching Use Claude's native prompt caching for repeated prefixes Response Caching Cache full LLM responses for identical or similar queries Cache Augmented Generation (CAG) Pre-cache documents in prompt instead of RAG retrieval Anti-Patterns ❌ Caching with High Temperature ❌ No Cache Invalidation ❌ Caching Everything ⚠️ Sharp Edges Issue Severity Solution ------- ---------- ---------- Cache miss causes latency spike with additional overhead high // Optimize for cache misses, not just hits Cached responses become incorrect over time high // Implement proper cache invalidation Prompt caching doesn't work due to prefix changes medium // Structure prompts for optimal caching Related Skills Works well with: context-window-management, rag-implementation, conversation-memory

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aiskillstore/prompt-caching

View the source on GitHub

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