Multi-level caching strategies for LLM applications - semantic caching (Redis), prompt caching (Claude/OpenAI native), cache hierarchies, cost optimization, and Langfuse cost tracking with hierarchical trace rollup for 70-95% cost reduction
Key Features
- Comprehensive skill evaluation and performance tracking
- Community-driven ratings and reviews
- Easy integration with Claude Code
- Regular updates and maintenance
Quick Start
TopRank Skills install yonatangross/llm-caching-patterns
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Skill Details
GitHub Stars
3
GitHub Forks
0
Created
Jan 2026
Last Updated
il y a 8 mois
tools
tools llm ai
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