Bohonyi Balazs - Zsolt balazsbohonyi

I need to geotag every photo from trip to .gpx track, but GPX Logger accidentaly stopped. Luckly, i has turned on Google location history.

Takeout location history from google.
Extract .json file
trigger the following commands

git clone https://github.com/Scarygami/location-history-json-converter.git

py location-history-json-converter-master/location_history_json_converter.py -f gpx -s 2017-05-06 -e 2017-05-07 "Takeout/Location History/Records.json" "Takeout/Location History/Records.gpx"

Create a redirect server in Node.js

'use strict'

var http = require('http');

var mappings = {
 g: 'http://www.google.com'

From an elevated (Run as Administrator) PowerShell prompt:

iwr -useb https://christitus.com/win | iex

Add an alias for more in .bashrc:

alias more=/proc/cygdrive/c/Windows/System32/more.com

...and then you can use it like this in Git Bash:

cat large_file | more

To increase less's screen width in Git Bash, try this: git config --global core.pager "env -u COLUMNS less"

Source: Reddit Pastebin

How to add rules in Antigravity

Open any Antigravity agent chat, click the three-dot menu in the top‑right.
Choose Customizations → in the Rules tab click [+ Workflow].
Specify as rule name: opus_permission_gated_v1
Antigravity will create the .agent/rules/opus_permission_gated_v1 markdown file in the project's root..

1. Wrapper Script: `~/.claude/claude-zai.sh`

#!/bin/bash
export ANTHROPIC_BASE_URL="https://api.z.ai/api/anthropic"
export ANTHROPIC_AUTH_TOKEN="$ZAI_API_KEY"
export API_TIMEOUT_MS="3000000"
export ANTHROPIC_DEFAULT_HAIKU_MODEL="glm-4.7-flash"
export ANTHROPIC_DEFAULT_SONNET_MODEL="glm-4.7"
export ANTHROPIC_DEFAULT_OPUS_MODEL="glm-4.7"
exec claude "$@"

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.

	Number.prototype.mod = function(n) {
	return ((this%n)+n)%n;
	}

	// support for adding/subtracting business days for Javascript dates
	Date.prototype.addBusinessDays = function(days) {
	days = parseInt(days);
	var wks = Math.floor(days/5);
	var dys = days.mod(5);
	var dy = this.getDay();

	#!/usr/bin/env python3
	"""
	JetBrains Trial Reset Tool
	A Python implementation that resets trial periods for JetBrains IDEs
	"""

	import os
	import platform
	import subprocess
	import shutil