llm-wiki-skill — Codex Skill by lewislulu

by lewislulu · Codex Skill · ★ 282

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About llm-wiki-skill

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 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 , , , , and 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: — an Obsidian plugin: select text in any page, leave a comment with severity, the comment is written into as an anchored markdown file. — 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.

Quick Facts

Stars282
Forks54
LanguageTypeScript
CategoryCodex Skill
Quality Score68.3143240918206/100
Open Issues1
Last Updated2026-04-16
Created2026-04-05
Platformscodex, node
Est. Tokens~8k

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Frequently Asked Questions

What is llm-wiki-skill?

llm-wiki-skill is Karpathy-style LLM knowledge base Agent Skill for OpenClaw/Codex. Experimental — will iterate over time.. It is categorized as a Codex Skill with 282 GitHub stars.

What programming language is llm-wiki-skill written in?

llm-wiki-skill is primarily written in TypeScript.

How do I install or use llm-wiki-skill?

You can find installation instructions and usage details in the llm-wiki-skill GitHub repository at github.com/lewislulu/llm-wiki-skill. The project has 282 stars and 54 forks, indicating an active community.

What are the best alternatives to llm-wiki-skill?

The top alternatives to llm-wiki-skill on Agent Skills Hub include skillkit, ai-maestro, upskill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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