joshbuchea

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

voidus

{
  description = "A nixos cloudinit base image without nixos-infect";

  inputs = {
    nixpkgs.url = "github:nixos/nixpkgs";
  };

  outputs = { self, nixpkgs }:
  let
    system = "x86_64-linux";

LessUp

// ==UserScript==
// @name         GLM Coding Rush - 智谱编程助手抢购脚本
// @namespace    https://gist.github.com/LessUp
// @version      1.1.0
// @description  智谱 GLM Coding 一键抢购脚本 — 自动解锁售罄按钮 / 高速重试引擎 / bizId 双重校验 / 错误弹窗自动恢复 / 支付弹窗保护 / 秒级定时触发 / 可拖拽浮动面板
// @author       LessUp
// @match        *://www.bigmodel.cn/*
// @match        https://bigmodel.cn/glm-coding*
// @run-at       document-start
// @grant        none

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.

burkeholland

Ultralight Orchestration

A minimal multi-agent system with an orchestrator, a planner, a coder, and a designer working together providing orchestration between Claude, Codex and Gemini.

Instructions

Install all agents listed below into VS Code Insiders...

Title	Type	Description

retlehs

#!/usr/bin/env bash
set -euo pipefail

DOMAIN="${1:-example.com}"
RELEASE="${CC_RELEASE:-cc-main-2026-jan-feb-mar}"
CACHE="${HOME}/.cache/cc-backlinks/${RELEASE}"
BASE="https://data.commoncrawl.org/projects/hyperlinkgraph/${RELEASE}/domain"

VERTICES="${CACHE}/domain-vertices.txt.gz"
EDGES="${CACHE}/domain-edges.txt.gz"

devinschumacher

How to Download TokyoMotion Videos: Technical Analysis of Stream Patterns, CDNs, and Download Methods

A comprehensive research document analyzing TokyoMotion's video infrastructure, embed patterns, stream formats, and optimal download strategies using modern tools

--

Get the Tokyomotion Video Downloader

👉 Get the Tokyomotion Video Downloader Here: https://serp.ly/tokyomotion-downloader