alphalab-ustc/autowiki-skill

自动维基

你的LLM会汇编一个知识库。你只需要阅读并提出问题。 实现Karpathy的LLM知识库愿景——原始源代码入，Obsidian维基出。 作者：AlphaLab-USTC

英语 ·中文

---

理念

好的综述论文不仅仅是列出参考文献——它们识别里程碑，追踪思想的发展过程，并将领域组织成连贯的结构。AutoWiki 自动做到同样的事。

提交论文。LLM识别**里程碑节点*（概念突破），围绕它们聚集论文，构建一个与该领域结构相符的层级文件树，并通过源之间的时间链接进行深入分析。你会得到Obsidian中维护的调查级知识图谱——而不是一个零散笔记的文件夹。

---

🚀 快速启动

1.克隆与安装

2.添加技能

在Claude代码或OpenClaw中，只需询问：

3.初始化你的维基

4.开始使用

将项目根打开为Obsidian vault，然后在Claude Code / OpenClaw中：

前提条件： Claude Code 或 OpenClaw + Obsidian + Python 3.12+

---

工作原理

AutoWiki

Your LLM Compiles a Knowledge Base. You Just Read and Ask. Implementing Karpathy’s LLM Knowledge Base vision — raw sources in, Obsidian wiki out. By AlphaLab-USTC

English · 中文

---

The Idea

Good survey papers don’t just list references — they identify milestones, trace how ideas evolved, and organize the field into a coherent structure. AutoWiki does the same thing, automatically.

Drop papers in. The LLM identifies milestone nodes (conceptual breakthroughs), clusters papers around them, builds a hierarchical file tree that mirrors the field’s structure, and writes deep analysis with temporal links between sources. You get a survey-quality knowledge graph maintained in Obsidian — not a folder of disconnected notes.

 You drop PDFs            LLM compiles                    You browse in Obsidian
─────────────    ──────────────────────────    ──────────────────────────────────
 raw/new/    →    Identify milestones          kb/topics/  (milestone nodes)
                  Cluster papers               kb/sources/ (deep analysis pages)
                  Trace temporal evolution      kb/journal/ (cognitive timeline)
                  Write cross-linked wiki       index.md    (survey-style tree)

---

🚀 Quick Start

1. Clone & Install

git clone https://github.com/AlphaLab-USTC/AutoWiki-skill.git
pip install PyMuPDF

2. Add as Skill

In Claude Code or OpenClaw, just ask:

> "Add /absolute/path/to/AutoWiki-skill/skills to my global skillSources"

3. Initialize Your Wiki

cd your-wiki-project
mkdir -p raw/new raw/compiled kb/{sources,topics,journal} output
touch kb/index.md kb/log.md

4. Start Using