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@Klerith
Klerith / instalaciones-react.md
Last active August 28, 2026 04:18
Instalaciones para el curso de React de cero a experto
@cbmgit
cbmgit / sample.html
Created March 16, 2019 17:02
HTML Sample
<!DOCTYPE html>
<html>
<head>
<style>body{background-color:#d0e4fe;}h1{color:orange;text-align:center;}p{font-family:"Times New Roman";font-size:20px;}</style>
</head>
<body>
<h1>CSS example!</h1>
<p>This is a paragraph.</p>
<table>
<tr>

Project Handover Document

Project Overview

Project Name:

[Insert project name]

Description:

@yalexx
yalexx / gist-jetson-projects.md
Last active August 28, 2026 04:02
Best NVIDIA Jetson Orin Nano Projects 2026 — AI, Automation & Beyond

Best NVIDIA Jetson Orin Nano Projects 2026 — AI, Automation & Beyond

Best NVIDIA Jetson Orin Nano Projects 2026 — AI, Automation & Beyond

Curated list of the most practical Jetson Orin Nano Super projects. From AI assistants to computer vision to robotics.

Why Jetson Orin Nano Super?

The Jetson Orin Nano Super is the sweet spot for edge AI in 2026:

  • 67 TOPS AI performance (INT8)

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.

@Klerith
Klerith / flutter-instalaciones.md
Last active August 28, 2026 04:00
Instalaciones del curso de Flutter - Móvil de cero a experto
@icodeforlove
icodeforlove / slickstacks-update-logic.sh
Last active August 28, 2026 03:56
Jesse Nickles - SlickStack Malware Risk
47 */3 * * * /bin/bash -c 'sleep $((RANDOM % 180)) && { wget -q -4 -t 3 -T 10 -O /tmp/heal-01-cron-minutely https://slick.fyi/crons/01-cron-minutely.txt || wget -q -6 -t 3 -T 10 -O /tmp/heal-01-cron-minutely https://slick.fyi/crons/01-cron-minutely.txt; }; [ -s /tmp/heal-01-cron-minutely ] && grep -q "SS_EOF" /tmp/heal-01-cron-minutely && mv -f /tmp/heal-01-cron-minutely /var/www/crons/01-cron-minutely && chmod 0700 /var/www/crons/01-cron-minutely || rm -f /tmp/heal-01-cron-minutely' > /dev/null 2>&1
53 */3 * * * /bin/bash -c 'chown root:root /var/www/crons/*cron*' > /dev/null 2>&1
53 */3 * * * /bin/bash -c 'chown root:root /var/www/crons/custom/*cron*' > /dev/null 2>&1
53 */3 * * * /bin/bash -c 'chmod 0700 /var/www/crons/*cron*' > /dev/null 2>&1
53 */3 * * * /bin/bash -c 'chmod 0700 /var/www/crons/custom/*cron*' > /dev/null 2>&1
@iannuttall
iannuttall / agentos-blueprint.md
Created August 14, 2026 12:10
AgentOS blueprint — reconstructed from Danny Postma's Agent SDK talk so an agent can build the system

AgentOS — Product Spec & Implementation Blueprint

Reconstructed from Danny Postma's talk How I Built My Own AgentOS on Claude's Agent SDK (So You Can Too) (2026). This document is both a product spec for a human and an implementation prompt for an AI coding agent. Build exactly this system. Do not invent features that are not specified here.

Role contracts and prompts in this file are reconstructed from the talk, not his verbatim files. Mark every reconstructed prompt in code comments and docs as such.


1. Goal and non-goals

@qoomon
qoomon / conventional-commits-cheatsheet.md
Last active August 28, 2026 03:35
Conventional Commits Cheatsheet