Overview
- Skill Key
- aeoleader/memory-on-demand
- Author
- aeoleader
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/aeoleader/memory-on-demand
- Latest Commit SHA
- 5101e79d70e5275352523631562fb35c0b9d10e8
按需记忆检索。当用户询问历史相关问题时,自动搜索 memory 和 QMD 获取相关信息。
Stars
0
Installs
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 memory-on-demand 技能。 若已安装,则直接安装 memory-on-demand 技能。
# Memory On Demand - 按需记忆检索 ## 触发条件 当用户问题包含以下关键词时自动触发: - "之前"、"以前"、"上次" - "历史"、"记录" - "那次"、"那次" - "还记得吗" - "我之前" - "之前我们" - "那时候" ## 执行流程 ### 1. 判断是否需要检索 检查用户问题是否与历史记录相关。 ### 2. 选择检索方式 **首选:QMD 搜索**(更快、更准确) ```bash qmd search "关键词" --limit 5 ``` **备选:Memory 搜索** ```bash # 搜索 memory 文件 grep -r "关键词" ~/.openclaw/workspace/memory/ # 或使用 memory_search ``` ### 3. 返回结果 将搜索结果整理后返回给用户。 ## 使用示例 用户问:"之前那次健身训练的记录是什么?" 自动执行: 1. 检测到"之前"关键词 2. 执行 `qmd search "健身 训练"` 3. 返回相关记录 ## 优势 - **按需加载**:只在需要时搜索,不浪费 context - **自动触发**:无需手动指定 - **多源检索**:QMD + Memory 双保险 ## 配置 - QMD 索引:已配置 workspace + butler + researcher + sessions - Memory 文件:自动读取 memory/*.md --- *自动记忆检索 skill*
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