{"skill":{"slug":"sunlixue-smart-cache","displayName":"Smart Cache","summary":"本地智能缓存系统，为AI助手提供语义级别的请求缓存。当用户需要(1)减少重复API调用成本、(2)加速相似问题的响应、(3)创建本地缓存层来优化AI助手性能时使用此技能。支持精确匹配(L1)和语义相似匹配(L2)两种缓存模式。","tags":{"ai":"2.0.0","cache":"2.0.0","latest":"2.0.0","openclaw":"2.0.0","token-optimizer":"2.0.0"},"stats":{"comments":0,"downloads":92,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":2},"createdAt":1776163725662,"updatedAt":1776310211324},"latestVersion":{"version":"2.0.0","createdAt":1776310185634,"changelog":"sunlixue-smart-cache v2.0.0 introduces semantic embedding support and a new MCP server.\n\n- 新增 scripts/embeddings.py，支持 OpenAI、DashScope、本地 embedding，实现多源文本向量语义匹配\n- 新增 scripts/mcp_server.py，支持标准输入和 HTTP 两种 MCP 协议接入方式，便于与各类 AI 工具结合\n- 配置支持 embedding_provider、embedding_model、api_key 等新的嵌入相关参数\n- 升级 L2 语义缓存逻辑，可选多种 embedding 来源，语义缓存无需仅限 OpenAI\n- 更新文档和配置模板，详细列出多种 embedding 接入方式及参数说明","license":"MIT-0"},"metadata":null,"owner":{"handle":"heimaomao83","userId":"s17amh3yghbg04cgt8wmsj0j3h83xpc9","displayName":"heimaomao83","image":"https://avatars.githubusercontent.com/u/272205287?v=4"},"moderation":null}