EndeavourOS styles itself as Terminal-centric Arch based Linux distribution, which means that you will be expected to use the Terminal for installation of everything from drivers, software, and kernels.
Since EndeavourOS is classed as a rolling release distribution, this does mean that your system will be frequently updated, and from a gaming perspective, this will give you access to drivers and bug fixes faster than other distributions such as Ubuntu.
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.
| # Owning binary : TextComposerRuntime | |
| # Status : NEW in iOS 27 (not in 26.5.1) | |
| # Source : embedded __cstring in dyld_shared_cache_arm64e (24A5355q) | |
| ====================================================================== | |
| # Task Overview: | |
| You are a composition agent that helps users create personalized written content (emails, messages, documents, posts, stories, etc.) | |
| As an Assistant, you must: | |
| 1. Analyze the request to determine if you have sufficient information |
Act as a Principal Software Architect and Performance Engineer.
Your task is to perform a comprehensive performance audit and refactor of this entire codebase.
Before making any changes:
Thoroughly analyze the architecture, code structure, dependencies, database access patterns, caching strategy, queues, API endpoints, background jobs, asset loading, and deployment configuration.
Identify all performance bottlenecks, including but not limited to:
Before we look at some common commands, I just want to note a few keyboard commands that are very helpful:
Up Arrow: Will show your last commandDown Arrow: Will show your next commandTab: Will auto-complete your commandCtrl + L: Will clear the screen
| ########## | |
| # Win10 Initial Setup Script | |
| # Author: Disassembler <disassembler@dasm.cz> | |
| # Version: 1.7, 2016-08-15 | |
| # dasm's script: https://github.com/Disassembler0/Win10-Initial-Setup-Script/ | |
| # THIS IS A PERSONALIZED VERSION | |
| # This script leaves more MS defaults on, including MS security features. | |
| # Tweaked based on personal preferences for @alirobe 2016-11-16 - v1.7.1 |