Richard-Barrett

Open WebUI + Ollama + Hugging Face on macOS and Windows

A practical setup guide for running a local AI troubleshooting and support environment on either macOS or Windows using:

• Open WebUI for the browser-based chat interface
• Ollama as the local model runtime
• Hugging Face as an optional source for GGUF models
• Docker Compose for running Open WebUI
• Apple Silicon / Metal acceleration through native Ollama

gulbaki

# AGENTS.md

- Do not preserve backward compatibility. Remove obsolete paths instead of adding compatibility layers, fallbacks, or migrations.
- Choose the simplest implementation that fully meets the current requirements. Avoid speculative abstractions, configuration, and indirection.
- Grow the system in layers. Start from the smallest version that works end to end, and add each new capability on top of a product that already works. Never trade a working product for unfinished complexity.
- Keep components modular and concerns clearly separated.
- Prefer established, well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear reason.
- Lean on the dependencies already in the project before writing your own implementation or adding packages. Do not assume a library lacks a capability without checking its documentation and types.
- Make architectural decisions for the long term. Do not accept a stopgap that only works for now an

Hona

description	Implement with clear orchestration, strong interfaces, and happy-path-first design

Code like Luke.

Implement the requested change, but optimize the design for the normal user flow. If the happy path is 95% of runtime behavior, it should be approximately 95% of the code readers see.

Start with context:

• inspect the existing code, callsites, data flow, and nearby conventions

AlexAfonin66

#EXTM3U

##### === Федеральные каналы (основной пакет) === #####

#EXTINF:-1 tvg-id="Perviy" tvg-name="Первый канал" group-title="Федеральные",Первый канал
https://edge1.1tv.ru/live/livestream_hd.m3u8

#EXTINF:-1 tvg-id="Rossiya1" tvg-name="Россия 1" group-title="Федеральные",Россия 1
https://vgtrkregion.cdnvideo.ru/rr/region_1080/playlist.m3u8

jnorthrup

#!/usr/bin/env bash

# Proxy Bridge - Improved Version with SSH and auto-discovery
# Core functionality: litebike server + client auto-discovery + SSH remote start

set -e

# Colors
RED='\033[0;31m'
GREEN='\033[0;32m'

subfuzion

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

Coderad32

#!/bin/bash

# ==============================================================================
# Matrix Sigil Rain - Slow & Human-Readable Version
# ==============================================================================
# This script creates a falling matrix-style digital rain effect using custom 
# sigils. It has been slowed down for a more cinematic pace and refactored with 
# clear variable names and comments so it's easy to read and modify.
# ==============================================================================

fomvasss

Шпаргалка по Markdown

(https://github.com/sandino/Markdown-Cheatsheet) (перевод, оригинал)

Поиграть с разметкой Markdown можно на демо-странице.

Содержание

Заголовки
Выделение

HarmJ0y

# PowerView's last major overhaul is detailed here: http://www.harmj0y.net/blog/powershell/make-powerview-great-again/
#   tricks for the 'old' PowerView are at https://gist.github.com/HarmJ0y/3328d954607d71362e3c

# the most up-to-date version of PowerView will always be in the dev branch of PowerSploit:
#   https://github.com/PowerShellMafia/PowerSploit/blob/dev/Recon/PowerView.ps1

# New function naming schema:
#   Verbs:
#       Get : retrieve full raw data sets
#       Find : ‘find’ specific data entries in a data set

RaijuMounun

(function () {
  'use strict';

  const BATCH_SIZE = 24;
  const SCROLL_DELAY_MS = 5000;
  const MAX_SCROLLS = 64;

  const wait = (ms) => new Promise(resolve => setTimeout(resolve, ms));

  function getCSRFToken() {