Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Memory On Demand
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。
skill openclawclawhub Free
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。
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- aeoleader
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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"
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） qmd search "关键词" --limit 5 备选：Memory 搜索 # 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： 检测到"之前"关键词 执行 qmd search "健身 训练" 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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md