Individual skill
prompt-caching
Use prompt caching correctly across Anthropic, OpenAI, Bedrock, and Gemini to cut cost and latency on hot paths. Use when the user is building a production LLM app and mentions prompt caching, cache hits, cache key, cache TTL, ephemeral cache, system-prompt caching, or asks "why is my cache hit rate low?" / "should I cache this?".
skills/prompt-caching/SKILL.md
Source commit 54c1d0090c766b131dd87b4442ee415c5c9c0c80
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 21
- Repository last updated
- Jul 8, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code Repository topic
- codex Repository topic
- cursor Repository topic
- gemini-cli Repository topic
- llm-agents Repository topic
- caching Declared skill tag
- cost Declared skill tag
- latency Declared skill tag
- production Declared skill tag
- claude Declared skill tag
- engineering Derived category
Files and excerpt
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Browse files
EXAMPLES.mddoc · 1,156 bytesSKILL.mdcore · 5,494 bytesTRANSCRIPT.mddoc · 3,830 bytes
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