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## clean-up-arch-linux.md

      
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                rumansaleem
                / clean-up-arch-linux.md
            
            
              Created
              May 28, 2019 08:51
            
              
                Instructions to clean up Arch Linux (Manjaro)
              
          
    Contents


Clean pkg cache
Remove unused packages (orphans)
Clean cache in /home
remove old config files
Find and Remove

duplicates
empty files
empty directories


broken symlinks


## +Windows 10 Add Copy-Paste as Symbolic Link or Junction.md

      
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                ipcjs
                / +Windows 10 Add Copy-Paste as Symbolic Link or Junction.md
            
            
              Last active
              September 5, 2026 11:52
                — forked from ndunks/paste-symlink.ps1
            
              
                Windows 10 Add Copy-Paste as Symbolic Link or Junction
              
          
    Windows 10 Add Copy-Paste as Symbolic Link or Junction

English: Add a menu item of Paste Symlink to the Windows right-click menu
中文：给Windows的右键菜单添加粘贴成符号链接的菜单项

  
## ArchOracleCloud.md

      
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                amishmm
                / ArchOracleCloud.md
            
            
              Last active
              September 5, 2026 11:52
            
              
                Install Arch Linux on Oracle Cloud (Free Tier)
              
          
    Requirement


Console / Cloud Shell access (via https://cloud.oracle.com)
Go to the instance page and under Resources -> Console connection -> Launch Cloud Shell connection

Steps


In Ubuntu OR any other Free tier Linux OS

# Download Alpine Linux and install it on disk
cd /
wget https://dl-cdn.alpinelinux.org/alpine/v3.16/releases/x86_64/alpine-virt-3.16.2-x86_64.iso

  
## VolumetricFogTutorial.shader
Shader "Tutorial/VolumetricFog"
{
    Properties
    {
        _Color("Color", Color) = (1, 1, 1, 1)
        _MaxDistance("Max distance", float) = 100
        _StepSize("Step size", Range(0.1, 20)) = 1
        _DensityMultiplier("Density multiplier", Range(0, 10)) = 1
        _NoiseOffset("Noise offset", float) = 0


## 4.1.chatmode.md

      
              1 file
            
          
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                burkeholland
                / 4.1.chatmode.md
            
            
              Last active
              September 5, 2026 11:51
            
              
                4.1 Beast Mode v2
              
          
    description
    4.1 Beast Mode
  
  
    tools
    
  
  changes
  codebase
  editFiles
  extensions
  fetch
  findTestFiles
  githubRepo
  new
  openSimpleBrowser
  problems
  readCellOutput
  runCommands
  runNotebooks
  runTasks
  runTests
  search
  searchResults
  terminalLastCommand
  terminalSelection
  testFailure
  updateUserPreferences
  usages
  vscodeAPI
  
  
Beast Mode v3 is out now: 👉 https://gist.github.com/burkeholland/88af0249c4b6aff3820bf37898c8bacf


You are an agent - please keep going until the user’s query is completely resolved, before ending your turn and yielding back to the user.

  
## index.html
<!DOCTYPE html>
<html>
<head>
    <title></title>
	<meta charset="utf-8" />
    <script src="Scripts/jquery-1.9.1.min.js"></script>
    <link href="Content/bootstrap.min.css" rel="stylesheet" />
    <script src="Scripts/isRockFx.js"></script>
    <script>
        $(function () {

## README.md

      
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                andrewgazelka
                / README.md
            
            
              Created
              September 5, 2026 00:10
            
              
                Rust Cranelift JIT demo: source-to-result benchmark against LLVM and Cranelift AOT, with raw measurements
              
          
    Run ordinary Rust through a JIT

A small demo of rustc's experimental Cranelift JIT mode, plus the benchmark
behind the graphic. It runs a normal .rs file: rustc parses and checks it,
then Cranelift generates native machine code in memory and executes it.
No standalone executable is emitted in JIT mode.
This reproduction targets Apple Silicon macOS. It was measured on an
Apple M5 Max. The benchmark uses macOS library paths and system tools; it is
not a cross-platform harness.

  
## SKILL.md

      
              1 file
            
          
              65 forks
            
          
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                k16shikano
                / SKILL.md
            
            
              Last active
              September 5, 2026 11:42
            
              
                cognitive-rhythm-writing/SKILL.md
              
          
    name
    cognitive-rhythm-writing
  
  
    description
    説明的な文章に緩急を設計するための規範。緩急を装飾ではなく認知モードの切替（観察→逡巡→断定→再観察）と未回収の緊張の管理として扱い、文の拍、段落の密度波形、節の入り方、緩みと駄文の判別、執筆後の機械的な点検手順を定める。読み物として読ませたい章・記事・解説文を生成するとき、または「密度はあるが平坦でおもしろくない」文章を診断・修正するときに使用する。
  
  
認知リズムを生むための日本語ライティング規範

密度の高い文章が退屈になるのは、情報が多いからではなく、全文が同じ認知モードで書かれているからである。
この規範は、読者の認知モード（観察する、迷う、確信する、確かめ直す）を意図的に切り替え、常に「続きを読む理由」を維持することで、読み進める推進力を作る。

  
## llm-wiki.md

      
              1 file
            
          
              9722 forks
            
          
                1094 comments
              
            
              47315 stars
            
          
                karpathy
                / llm-wiki.md
            
            
              Created
              April 4, 2026 16:25
            
              
                llm-wiki
              
          
    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.

  
## distrobox-macos-setup.sh
#!/bin/bash

# Strict mode: exit on error, exit on unset variable, pipefail
set -euo pipefail

echo "🚀 Installing Distrobox on macOS with full Podman support..."

# 1. Check for Homebrew
if ! command -v brew >/dev/null 2>&1; then
  echo "❌ Homebrew is not installed. Please install it first: https://brew.sh"
	Shader "Tutorial/VolumetricFog"
	{
	Properties
	{
	_Color("Color", Color) = (1, 1, 1, 1)
	_MaxDistance("Max distance", float) = 100
	_StepSize("Step size", Range(0.1, 20)) = 1
	_DensityMultiplier("Density multiplier", Range(0, 10)) = 1
	_NoiseOffset("Noise offset", float) = 0
	<!DOCTYPE html>
	<html>
	<head>
	<title></title>
	<meta charset="utf-8" />
	<script src="Scripts/jquery-1.9.1.min.js"></script>
	<link href="Content/bootstrap.min.css" rel="stylesheet" />
	<script src="Scripts/isRockFx.js"></script>
	<script>
	$(function () {
	#!/bin/bash

	# Strict mode: exit on error, exit on unset variable, pipefail
	set -euo pipefail

	echo "🚀 Installing Distrobox on macOS with full Podman support..."

	# 1. Check for Homebrew
	if ! command -v brew >/dev/null 2>&1; then
	echo "❌ Homebrew is not installed. Please install it first: https://brew.sh"