raphaelsaunier

geoffreylitt

name	explain-diff-html
description	Use when the user asks for a rich explanation of a code change, diff, branch, or PR. Produces HTML output.

Explain Diff

Please make me a rich, interactive explanation of the specified code change.

It should have these sections:

youssf2005

#!/usr/bin/env bash

SDK_LINUX=https://dl.google.com/android/repository/sdk-tools-linux-4333796.zip
SDK_MAC=https://dl.google.com/android/repository/sdk-tools-darwin-4333796.zip

if [ -z ${JAVA_HOME+x} ]; then
	echo "\$JAVA_HOME environmental variable is not set."
	echo "Find the location of your Java directory, and then put it in your"
	echo "~/.bash_profile (or any other shell equivalent)"
	exit 0

Samarth0211

Claude Secret Codes — 100 Prompt Shortcuts

100 prompt shortcuts that change how Claude responds. Type any code at the start of your message.

Interactive searchable version with copy-to-clipboard: clskills.in/prompts

Writing & Style

Code	What it does

urakozz

Intel Arc B70: High-Performance vLLM (oneAPI 2026.1 + Triton XPU)

This repository contains the necessary setup instructions, docker configuration, and patch modifications to run highly optimized LLM inference on Intel XPU architectures using vLLM.

Everyone is buzzing that only NVIDIA RTX or AMD hardware can achieve elite inference speeds is outdated and Intel's software is not good enough (only if you use in 2026 software from 2025)

By leveraging the oneAPI 2026.1 toolchain, Triton XPU, and direct Intel XMX hardware acceleration, Intel GPUs deliver exceptional token-per-second throughput numbers on modern hybrid architectures.

---

karpathy

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.

lynsei

[Submit product or tutorial] or make it thru PR.

🙊 Deploy your own VPN

• OpenVPN — full-featured open source VPN solution. (Digital Ocean tutorial)
• dockovpn.io — stateless OpenVPN dockerized server which doesn't require persistent storage.
• WireGuard — faster, simpler, leaner, and more useful than IPsec. It intends to be considerably more performant than OpenVPN. (Digital Ocean tutorial)
• Algo VPN — set of Ansible scripts that simplify the setup of a personal Wireguard and IPsec VPN.

ryanflorence

Everything I Know About UI Routing

Definitions

1. Location - The location of the application. Usually just a URL, but the location can contain multiple pieces of information that can be used by an app
   1. pathname - The "file/directory" portion of the URL, like invoices/123
   2. search - The stuff after ? in a URL like /assignments?showGrades=1.
   3. query - A parsed version of search, usually an object but not a standard browser feature.
   4. hash - The # portion of the URL. This is not available to servers in request.url so its client only. By default it means which part of the page the user should be scrolled to, but developers use it for various things.
   5. state - Object associated with a location. Think of it like a hidden URL query. It's state you want to keep with a specific location, but you don't want it to be visible in the URL.

Jabarabo

Awesome Piracy

A curated list of arrrrrrrrr!

Contents

• Preamble
• Mirrors
• How to use this list
• Emoji
• Background Information

erikig