Ezequiel Maraschio emaraschio

Cursor AI Prompting Framework Usage Guide

This guide explains how to use the structured prompting files (core.md, refresh.md, request.md) to optimize your interactions with Cursor AI, leading to more reliable, safe, and effective coding assistance.

Core Components

core.md (Foundational Rules)
- Purpose: Establishes the fundamental operating principles, safety protocols, tool usage guidelines, and validation requirements for Cursor AI. It ensures consistent and cautious behavior across all interactions.
- Usage: This file's content should be persistently active during your Cursor sessions.

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Background and Cron Jobs

macOS Internals

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Starting Points

How to use this gist

You've got two main options:

EDITOR=vim rails credentials:edit

development:
  mailtrap:
    user_name: your_mailtrap_user_name
    password: your_mailtrap_password
    address: your_mailtrap_address

	{
	"inputs": [
	{
	"type": "promptString",
	"id": "github-pat",
	"password": true,
	"description": "GitHub Personal Access Token (PAT, https://github.com/settings/personal-access-tokens/new)"
	}
	],
	"servers": {

	# /home/jesuiswk/.config/tmuxinator/tm.yml

	name: tm
	root: ~/Documents/ThirtyMadison/

	# Optional tmux socket
	# socket_name: foo

	# Note that the pre and post options have been deprecated and will be replaced by
	# project hooks.

	# this is useful for sending action cable updates to doctors portal


	def spam(count, naptime)
	patients = Patient.all.sample(count)
	patients.each do \|patient\|
	sleep(naptime) if naptime
	Doctor.all.each do \|doc\|
	DoctorSchema.subscriptions.trigger('patientUpdates', { doctorId: doc.id }, patient)
	end

	Homebrew has a services manager and can manage its own Java installation, so an easier way to do this is just

	# this will install java 1.8, zookeeper, and kafka
	brew install kafka

	# this will run ZK and kafka as services
	brew services start zookeeper
	brew services start kafka
	That's it. If you want to stop Kafka, just run the brew services commands in reverse:

	import 'dotenv/config';
	import { NestFactory } from '@nestjs/core';
	import * as repl from 'repl';
	import * as Logger from 'purdy';

	const LOGGER_OPTIONS = {
	indent: 2,
	depth: 1,
	};

	import redis
	from itertools import izip_longest
	import sys
	from multiprocessing import Pool
	import signal


	OLD = "SHARD_ENDPOINT_FOR_OLD_REDIS"
	NEW = "SHARD_ENDPOINT_FOR_NEW_REDIS"