Requirements:
-
Device should be a rooted (simulator’s are rooted by default)
-
adbd should be started as root. (Rub command:
adb root
)
Now, send local push message using command:
// UTF8 Module | |
// | |
// Cleaner and modularized utf-8 encoding and decoding library for javascript. | |
// | |
// copyright: MIT | |
// author: Nijiko Yonskai, @nijikokun, [email protected] | |
(function (name, definition, context, dependencies) { | |
if (typeof context['module'] !== 'undefined' && context['module']['exports']) { if (dependencies && context['require']) { for (var i = 0; i < dependencies.length; i++) context[dependencies[i]] = context['require'](dependencies[i]); } context['module']['exports'] = definition.apply(context); } | |
else if (typeof context['define'] !== 'undefined' && context['define'] === 'function' && context['define']['amd']) { define(name, (dependencies || []), definition); } | |
else { context[name] = definition.apply(context); } |
#!/usr/bin/env zsh | |
sudo rm -f /usr/bin/node | |
sudo rm -f /usr/bin/npm | |
sudo ln -s $(which node) /usr/bin/ | |
sudo ln -s $(which npm) /usr/bin/ |
import subprocess, sys | |
applescript=''' | |
tell application "System Events" | |
set processName to name of processes whose frontmost is true | |
do shell script "echo " & processName | |
end tell | |
''' | |
args = [item for x in [("-e",l.strip()) for l in applescript.split('\n') if l.strip() != ''] for item in x] | |
proc = subprocess.Popen(["osascript"] + args ,stdout=subprocess.PIPE ) | |
progname = proc.stdout.read().strip() |
Requirements:
Device should be a rooted (simulator’s are rooted by default)
adbd should be started as root. (Rub command: adb root
)
Now, send local push message using command:
Insight Partners is a VC which has companies like Twitter, Docker, BlaBlaCar, HelloFresh and bmc in their portfolio. They developed the periodic table of software development KPIs to steer their portfolio.
The KPIs used by Insight Partners are a good starter for companies who like to transform their business as they are
This guide shows you how to apply the three structured prompt templates—core.md, refresh.md, and request.md—to get consistently reliable, autonomous, and high-quality assistance from Cursor AI.
Purpose:
Defines the AI’s always-on operating principles: when to proceed autonomously, how to research with tools, when to ask for confirmation, and how to self-validate.