lewislulu/llm-wiki-skill

Registry 信息

项目简介

一个基于Karpathy风格的LLM知识库Agent技能，适用于OpenClaw/Codex，旨在提供实验性、迭代优化的类维基知识检索系统。

要点

• 受Karpathy启发的知识库设计
• 集成OpenClaw/Codex的Agent技能
• 实验性功能，持续迭代优化
• 面向LLM的维基式检索
• TypeScript实现

使用场景

• 构建基于LLM的维基代理
• AI助手的实验性知识检索
• 快速原型开发知识库技能
• 学习Karpathy风格的AI架构

README 摘要

# llm-wiki **An OpenClaw / Codex Agent Skill for building Karpathy-style LLM knowledge bases.** > Experimental skill — will iterate over time. > Please send your feedbacks in github issues. Inspired by [Andrej Karpathy's llm-wiki Gist](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f) and the community's work building on it. ## What this is Instead of RAG (re-retrieving raw docs on every query), this pattern has the LLM **compile** raw sources into a persistent, cross-linked Markdown wiki. Every `compile`, `ingest`, `query`, `lint`, and `audit` pass makes the wiki richer. Knowledge compounds over time. - You own: sourcing raw material, asking good questions, steering direction, filing feedback on things the AI got wrong. - LLM owns: all writing, cross-referencing, filing, bookkeeping, and acting on your feedback. The skill comes with two companion tools in this repo: - **`plugins/obsidian-audit/`** — an Obsidian plugin: select text in any page, leave a comment with severity, the comment is written into `audit/` as an anchored markdown file. - **`web/`** — a local Node.js preview server: renders the wiki with mermaid, KaTeX, and wikilinks, lets you select + file feedback from the browser, and shows open audits per page. Both tools share a single TypeScript library (`audit-shared/`) so audit files written from Obsidian and the web viewer are byte-identical in shape. ## Install ```bash # Copy the skill into your agent's skills directory cp -r llm-wiki/ ~/.claude/skills/llm-wiki/ # or for Codex cp -r llm-wiki/ ~/.codex/skills/llm-wiki/ ``` Then reference it in your agent config, or simply paste `llm-wiki/SKILL.md` into your agent context. ## Quick start ```bash # 1. Scaffold a new wiki python3 llm-wiki/scripts/scaffold.py ~/my-wiki "My Researc

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