| Description | Command |
|---|---|
| Start a new session with session name | screen -S <session_name> |
| List running sessions / screens | screen -ls |
| Attach to a running session | screen -x |
| Attach to a running session with name | screen -r |
Wait a minute, why would anyone use 'screen', and what is it anyway?
Well, because it's both AWESOME and FUN!!
It lets you keep your own session running on all the servers you already use, and chances are, it's probably already installed and waiting for you! (since 1987!)
| Description | Command |
| /* | |
| * Global Media Controls Panel | |
| * Written by Tam710562 | |
| */ | |
| (() => { | |
| 'use strict'; | |
| const gnoh = { | |
| i18n: { |
| git_protocol: ssh | |
| aliases: | |
| personal: '!cp ~/.config/gh/hosts.yml.personal ~/.config/gh/hosts.yml && gh auth status' | |
| work: '!cp ~/.config/gh/hosts.yml.work ~/.config/gh/hosts.yml && gh auth status' |
| # Source: https://gist.github.com/vfarcic/8ebbf4943c5c012c8c98e1967fa7f33b | |
| ##################################################################### | |
| # Say Goodbye to Containers - Ephemeral Environments with Nix Shell # | |
| ##################################################################### | |
| # Additional Info: | |
| # - Nix: https://nixos.org | |
| # - Dagger: The Missing Ingredient for Your Disastrous CI/CD Pipeline: https://youtu.be/oosQ3z_9UEM |
| ############################################################### | |
| # Nix for Everyone: Unleash Devbox for Simplified Development # | |
| ############################################################### | |
| # Additional Info: | |
| # - Devbox: https://www.jetpack.io/devbox | |
| # - Say Goodbye to Containers - Ephemeral Environments with Nix Shell: https://youtu.be/0ulldVwZiKA | |
| # - Say Goodbye to Makefile - Use Taskfile to Manage Tasks in CI/CD Pipelines and Locally: https://youtu.be/Z7EnwBaJzCk | |
| ######### |
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.