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@moraqmen
moraqmen / prompt.md
Created June 13, 2026 05:55 — forked from amElnagdy/prompt.md
Visual QA Assistance

I need you to perform a comprehensive visual and functional quality assurance check of this website using Playwright MCP tools. URL: INSERT_URL

🚨 CRITICAL RULE: ALL TESTING MUST BE DONE ON THE PROVIDED URL ONLY 🚨

Navigation Protocol:

  • If any click navigates you to a different page/URL, immediately navigate BACK to the provided URL
  • Continue all testing from the original URL
  • Do NOT test functionality on external pages - only test that links work from the main page
  • Your goal is to test the provided URL thoroughly, not to explore the entire website
@amElnagdy
amElnagdy / prompt.md
Created August 31, 2025 12:32
Visual QA Assistance

I need you to perform a comprehensive visual and functional quality assurance check of this website using Playwright MCP tools. URL: INSERT_URL

🚨 CRITICAL RULE: ALL TESTING MUST BE DONE ON THE PROVIDED URL ONLY 🚨

Navigation Protocol:

  • If any click navigates you to a different page/URL, immediately navigate BACK to the provided URL
  • Continue all testing from the original URL
  • Do NOT test functionality on external pages - only test that links work from the main page
  • Your goal is to test the provided URL thoroughly, not to explore the entire website
/*
* Kevin Powell
* https://youtu.be/cCAtD_BAHNw
*/
*, *::before, *::after {
box-sizing: border-box;
}
* {

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.

@joelonsql
joelonsql / PostgreSQL-EXTENSIONs.md
Last active June 13, 2026 05:45
1000+ PostgreSQL EXTENSIONs

🗺🐘 1000+ PostgreSQL EXTENSIONs

This is a list of URLs to PostgreSQL EXTENSION repos, listed in alphabetical order of parent repo, with active forks listed under each parent.

⭐️ >= 10 stars
⭐️⭐️ >= 100 stars
⭐️⭐️⭐️ >= 1000 stars
Numbers of stars might not be up-to-date.

<!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 () {
@TameemS
TameemS / debloatMEmu.md
Last active June 13, 2026 05:39
Debloating & Optimizing MEmu

Inspired by this

More of my guides: Debloating LDPlayer - Debloating Nox (Updated)

Edit 22/8/2021: I have updated MEmu and it seems like it reinstalls the apps and re-enables the services. Repeat steps 5, 7, 8, and 9 if you update MEmu.

Debloating MEmu

In my experience, Nox can be quite slow and choppy, and looks like I'm not the only person with this problem. A lot of people say that MEmu performs better than Nox, and I could agree with that. I have no chopping issues with it so far. But like Nox, there are kinda shady stuff going on.

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.
@karpathy
"""
import os # os.path.exists
import math # math.log, math.exp