thedotmack/claude-mem✦ 精选0°

knowledge-agent

仓库创建 2025年9月1日最近提交 3 天前SkillHot 收录 20 天前

⬈ GitHub 仓库 ⬈ SKILL.md 原文件 ⬇ Raw 原始文件

▸ 精选理由

适合把历史观察抽成专题“脑”并进行持续问答。

▸ 风险提示

会持久化并查询历史记忆，可能泄露敏感信息

这个 Skill 做什么

从 claude-mem 观测构建并查询可对话的知识库。

把 claude-mem 的观察记录整理成可对话的知识库，能把过去的笔记和事件汇总成一个“专用大脑”，方便用自然语言询问历史工作模式或特定主题的知识。适合想从观察历史里抽取经验、追溯行为模式或编制专题知识集时使用。特别之处是把碎片化观察预装进 AI 会话（prime），可以像聊天一样反复查询和更新。

▸ 展开 SKILL.md 英文原文

Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.

数据与抓取知识库聚合检索通用

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帮我安装这个 skill：https://raw.githubusercontent.com/thedotmack/claude-mem/main/plugin/skills/knowledge-agent/SKILL.md

或 curl 直取 SKILL.md

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SKILL.MD 节选查看完整文件 ↗

# Knowledge Agent

Build and query AI-powered knowledge bases from claude-mem observations.

## What Are Knowledge Agents?

Knowledge agents are filtered corpora of observations compiled into a conversational AI session. Build a corpus from your observation history, prime it (loads the knowledge into an AI session), then ask it questions conversationally.

Think of them as custom "brains": "everything about hooks", "all decisions from the last month", "all bugfixes for the worker service".

## Workflow

### Step 1: Build a corpus

```text
build_corpus name="hooks-expertise" description="Everything about the hooks lifecycle" project="claude-mem" concepts="hooks" limit=500
```

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