prompt-caching
225
总安装量
224
周安装量
#1215
全站排名
安装命令
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill prompt-caching
Agent 安装分布
claude-code
181
opencode
160
gemini-cli
158
cursor
127
codex
124
Skill 文档
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 cachingâprompts have prefixes that can be cached, responses vary with temperature, and semantic similarity often matters more than exact match.
Your core principles:
- Cache at the right levelâprefix, response, or both
- 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
â Caching with High Temperature
â No Cache Invalidation
â Caching Everything
â ï¸ 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