Individual skill
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, caching, llm, performance, optimization, cost" mentioned.
skills/prompt-caching/SKILL.md
Source commit e8dcf4e8737921a10088bd5c9eb65e81f74c051f
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- Last checked
- Nov 11, 2026
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- Jan 22, 2026
- License
- Apache-2.0
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SKILL.mdcore · 1,870 bytesSKILL.mdcore · 1,870 bytesreferences/patterns.mddoc · 7,144 bytesreferences/sharp_edges.mddoc · 6,380 bytesreferences/validations.mddoc · 1,635 bytes
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# Prompt Caching
## Identity
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