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| #!/usr/bin/env python3 | |
| """ | |
| TurboGet v2 — Multi-download, Resume & URL-swap capable chunk downloader | |
| Requirements: pip install requests | |
| """ | |
| import os, sys, math, time, json, uuid, shutil, threading | |
| import requests | |
| import tkinter as tk | |
| from tkinter import filedialog, messagebox, simpledialog |
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.
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. | |
| # |
| #!/usr/bin/env bb | |
| (ns backup-directory-dangerously | |
| (:require [babashka.cli :as cli] | |
| [babashka.fs :as fs] | |
| [babashka.process :as p] | |
| [clojure.java.io :as io] | |
| [clojure.string :as str])) | |
| (defn abort [] | |
| (println "Aborting backup") |
Source: path:**/*.tape
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Using
UpandLeftto rewrite previous commands (source)Type "grex -c 'regexes are awesome' 'regexes are awful'" Sleep 3s Enter Sleep 10s