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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.

#!/usr/bin/env bash
set -euo pipefail
# patch-claude-code.sh — Rebalance Claude Code prompts to fix corner-cutting behavior
#
# What this does:
# Patches the npm-installed @anthropic-ai/claude-code cli.js to rebalance
# system prompt instructions that cause the model to cut corners, simplify
# excessively, and defer complicated work.
#
@johnlindquist
johnlindquist / context-optimization-writeup.md
Created December 8, 2025 17:30
Claude Code Context Optimization: 54% reduction in initial tokens while maintaining full tool access

Claude Code Context Optimization: A Complete Guide

Date: December 8, 2025 Goal: Reduce initial context consumption while maintaining full tool access and consistent Claude behavior


Executive Summary

This project achieved a 54% reduction in initial context (7,584 → 3,434 tokens) while improving tool discovery and enforcement. The key insight: Claude doesn't need verbose documentation upfront—it needs triggers to know when to load detailed context.

//@version=4
'''
Quick explanation from "Market Cipher - what is just a closed source of this script with alerts. (DO NOT PAY 1.500$ JUST FOR ALERT FUNCTION!)"
Market Cipher B is an all-in-one oscillator allowing for more quality indications than ever before.
It combines five algorithms (some well-known, some custom) that have all been fine-tuned and smoothed for optimal analysis and trading results.
When all of the algorithms converge, Market Cipher B will project a “Green Dot” which will aid you in longing the dips in bull markets as well as temporarily exiting shorts in bear markets.
The Green Dot is often accompanied by extreme sellers’ momentum and will warn you of potential market bottoms, giving you strong hands even when the night is at its darkest.
Market Cipher B certainly excels on the small time frames, but is a particularly deadly tool for isolating large swings in the market.

Disable Device Enrollment Notification on MacOS Catalina

Restart the Mac in Recovery Mode by holding Command-R during restart

Open Terminal in the recovery screen and type:

csrutil disable

Restart Computer Normally

<!doctype html>
<html lang="en">
<head>
<!-- Required meta tags -->
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<!-- Bootstrap CSS -->
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">
<title>Comments</title>
import fs from 'fs'
import path from 'path'
import { createClient } from 'contentful'
const SPACE = process.env.CONTENTFUL_SPACE
const TOKEN = process.env.CONTENTFUL_TOKEN
const client = createClient({
space: SPACE,
accessToken: TOKEN

Disable Device Enrollment Notification on Mac.md

Restart the Mac in Recovery Mode by holding Comment-R during restart

Open Terminal in the recovery screen and type

csrutil disable

⚠️ this is now stupidly out of date

Computers

  • 13" Macbook Pro 3.3 GHz i7 (late 2016)
  • Microsoft Surface Book (2016)

Peripherals