RickMcKay777

#!/bin/bash
# Claude Code custom status line — two lines:
#   Line 1: folder + full path + git branch (if in a repo) + [model ctx:%]  (left)
#   Line 2: 5-hour and 7-day usage with color-coded bars + reset countdowns (right-aligned)
#
# Reads the JSON Claude Code pipes to it on stdin. Requires: jq, GNU sed, wc, date.
# Right-alignment uses the COLUMNS env var (Claude Code sets it on v2.1.153+).
#
# Install:
#   1. Save this file (e.g. ~/.claude/statusline.sh)

JonasGroeger

Storing your GIT credentials in libsecret

# Install dependencies
$ sudo apt install make gcc git libsecret-1-0 libsecret-1-dev libglib2.0-dev

# Compile binary
$ sudo make --directory=/usr/share/doc/git/contrib/credential/libsecret

# Configure git to use binary as credential storage

vahidk

// This code is based on https://en.wikipedia.org/wiki/HSL_and_HSV
// Free to use for any purpose. No attribution needed.

function rgbToHsl(r, g, b) {
  r /= 255; g /= 255; b /= 255;
  let max = Math.max(r, g, b);
  let min = Math.min(r, g, b);
  let d = max - min;
  let h;
  if (d === 0) h = 0;

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.

Saksham-Goel1107

[
  {
    "title": "Why do freelancers ghost projects after partial payments without accountability systems?",
    "description": "Businesses hiring ad-hoc freelancers through informal channels experience high churn rates when workers disappear mid-project after receiving partial payments, leaving companies with incomplete deliverables and no legal framework to recover damages or enforce completion.",
    "severity": "8",
    "tam": "7",
    "whitespace": "7.5",
    "frequency": "7",
    "itch": "76"
  },

k16shikano

name	japanese-tech-writing
description	日本語の技術文書・書籍原稿の文章規範。整形（一文一行、引用ブロック、脚注、コラム記法）、段落と論証の構成（パラグラフライティング）、論証の厳密さ（ツッコミどころの除去）、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。

日本語技術文書の文章規範

日本語で技術的な原稿（書籍の章、記事、解説文）を書く・推敲するときは、以下の規範に従う。

整形

dannydenenberg

Docker

A CONTAINER is a running environment for an IMAGE. CONTAINER has a port which makes it possible to talk to it. A CONTAINER has a virtual file system.

Everything in Docker Hub are IMAGES.

Containers have names (easy to remember) and ID’s. Both can be used to reference it.

When you don’t specify a version of an image, you get the latest one.

GulgDev

const signal = F=>(f,G=F)=>F=f?_=>f(G?.()):F?.(); // 33 bytes

// Usage
const foo = signal();

// subscribe (callback must return a nullish value)
foo(() => console.log("subscriber #1"));
foo(() => console.log("subscriber #2"));

// fire and reset

jetfir3

#!/usr/bin/env bash

# Download VMware Fusion for macOS without a Broadcom account.
#
# This script allows you to download various versions of VMware Fusion
# from Broadcom's Cloudflare CDN (versions 8.0.0 to 13.6.3)
# or from the archive.org VMware Workstation archive (versions 8.x.x+).
#
# Options:
#   -k: Keep the downloaded file compressed (Cloudflare only; ignored for archive.org).