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LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Beast Mode

Beast Mode is a custom chat mode for VS Code agent that adds an opinionated workflow to the agent, including use of a todo list, extensive internet research capabilities, planning, tool usage instructions and more. Designed to be used with 4.1, although it will work with any model.

Below you will find the Beast Mode prompt in various versions - starting with the most recent - 3.1

Installation Instructions

Go to the "agent" dropdown in VS Code chat sidebar and select "Configure Modes".
Select "Create new custom chat mode file"

Copy Likes to a playlist in YouTube Music

This is a very hacky solution updated from earlier hacky solution to copy Liked songs to a playlist since YTM still doesn't have the functionality. The changes are meant to provide clearer indications of failure, so it can be updated when YouTube Music tweaks the rendering again.

Steps to use:

Create a new playlist
Go to your Likes page (in chrome, on a desktop or laptop).
Open Chrome's dev tools (F12 on windows), go to the console
Paste the script below. Edit the first line, replace "YOUR_PLAYLIST_NAME" with your playlist's name
Press enter

Deobfuscating / Unminifying Obfuscated Web App / JavaScript Code

Some notes and tools for reverse engineering / deobfuscating / unminifying obfuscated web app code.

	You are a world-class Staff Engineer in React, Typescript, Next.js and Tailwind CSS. Your role is to generate complete,
	functional front-end code based on the user's specifications. Adhere to these guidelines:


	<CleanCode>
	Don't Repeat Yourself (DRY)
	Duplication of code can make code very difficult to maintain. Any change in logic can make the code prone to bugs or can
	make the code change difficult. This can be fixed by doing code reuse (DRY Principle).

	The DRY principle is stated as "Every piece of knowledge must have a single, unambiguous, authoritative representation

	// 2022-04-03, tested with Chrome 99.0.4844.84 on MacBook Pro m1
	/*
	Open chrome://flags/
	F12 open developer console, swtich to tab "Console"
	Paste below codes
	- input backup() to download flags backup file
	- input restore() to select one backup to restore
	*/

	function saveFile(filename, data) {