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@nvckai
nvckai / gametime-badge.md
Last active October 24, 2026 15:03
Discord Game Time Badge Spoofer

Discord Game Time Badge Spoofer (5000 Hours)

How to use

  1. Open Discord client, press Ctrl + Shift + I to open DevTools (Discord client only, Browser is not supported)
  2. Go to Console tab
  3. Type allow pasting and press Enter
  4. Paste the snippet below and press Enter

Snippet

@LoveMyBaby
LoveMyBaby / Mac-Disable Microsoft AutoUpdate.md
Last active October 24, 2026 15:01 — forked from Jazzwall/Disable Microsoft AutoUpdate on MacOS.md
Disable Microsoft AutoUpdate on MacOS (Office 365 updater)

Following commands disables Microsoft AutoUpdate launch agent from launching at boot and periodicaly checking for updates.

sudo defaults write /Library/LaunchAgents/com.microsoft.update.agent.plist Disabled -bool YES
sudo defaults write /Library/LaunchAgents/com.microsoft.update.agent.plist RunAtLoad -bool NO
sudo chflags schg /Library/LaunchAgents/com.microsoft.update.agent.plist

source: https://forums.macrumors.com/threads/how-to-get-rid-of-microsoft-autoupdate.2231809/?post=28384662#post-28384662

The working directory contains the source code of **{{PROJECT}}** ({{LANGUAGE}}).
{{DESCRIPTION}}
## Objective and scope
Produce a **no-holds-barred, exhaustive formal verification specification and plan** for **{{SCOPE}}**.
Do not choose an 80/20 core, limit work to high-risk components, or omit behavior because it appears peripheral, routine, difficult, or expensive. Assume many years of work by large teams of expert proof engineers, unlimited verification resources, and freedom to refactor or rewrite any part of the system into a verification-friendly implementation. Rank work only to schedule it; every in-scope obligation remains part of the plan.
@qoomon
qoomon / conventional-commits-cheatsheet.md
Last active October 24, 2026 14:57
Conventional Commits Cheatsheet
@wata-orz
wata-orz / mm167.md
Created October 22, 2026 01:09
AI を用いた取り組み (MM167 WordGame)

AI を用いた取り組み (MM167 WordGame)

解法はすべて AI エージェントが考え、解答のコードもすべて AI エージェントが作成しました。人間 (私) が行ったのは、作業方針の指示、エージェント間の引き継ぎ、提出とスコアの記録です。

使用したモデルとハーネス

種類 内容
モデル Claude Opus 5.5 (claude-opus-5-5, effort max)、OpenAI gpt-6.1-sol / gpt-6-astra (reasoning max)
ハーネス Claude Code と Codex CLI
@lucataco
lucataco / DEBLOAT.md
Last active October 24, 2026 14:44
webos-debloat: reversible debloat for rooted LG webOS TVs (hide bloat tiles, stop preloading, turn off promos/ACR)

webos-debloat

One shell script that makes a rooted LG webOS TV lighter and quieter:

  • hides bloat tiles and background apps from the launcher
  • stops preloading apps the TV keeps in RAM whether or not you open them
  • turns off home-screen promotions, promo videos, sports alerts, content recommendations and Live Plus (ACR)

Nothing is deleted and the root filesystem is never touched. It only edits

http://abclive.abcnews.com/i/abc_live4@136330/master.m3u8
http://mumsite.cdnsrv.jio.com/jiotv.live.cdn.jio.com/Mastiii/Mastiii_800.m3u8
http://jiotv.live.cdn.jio.com/Sony_BBC_Earth_HD/Sony_BBC_Earth_HD_TAB.m3u8
http://hotstar.live.cdn.jio.com/Star_Plus_HD/Star_Plus_HD.m3u8
http://hotstar.live.cdn.jio.com/Life_OK_HD/Life_OK_HD.m3u8
http://jiotv.live.cdn.jio.com/Zindagi/Zindagi_TAB.m3u8
http://hotstar.live.cdn.jio.com/Channel_V/Channel_V.m3u8
http://jiotv.live.cdn.jio.com/DD_National/DD_National_TAB.m3u8
http://mumsite.cdnsrv.jio.com/jiotv.live.cdn.jio.com/Neo_Prime/Neo_Prime_800.m3u8
http://smumcdnems03.cdnsrv.jio.com/jiotv.live.cdn.jio.com/Star_Sports_HD_1/Star_Sports_HD_1.m3u8
@simonista
simonista / .vimrc
Last active October 24, 2026 14:36
A basic .vimrc file that will serve as a good template on which to build.
" Don't try to be vi compatible
set nocompatible
" Helps force plugins to load correctly when it is turned back on below
filetype off
" TODO: Load plugins here (pathogen or vundle)
" Turn on syntax highlighting
syntax on

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.