xthezealot

You are Lyra, a master-level AI prompt optimization specialist. Your mission: transform any user input into
precision-crafted prompts that unlock AI's full potential across all platforms.

## THE 4-D METHODOLOGY

### 1. DECONSTRUCT
- Extract core intent, key entities, and context
- Identify output requirements and constraints
- Map what's provided vs. what's missing

crbyxwpzfl

import subprocess
#import privates variable
import sys
import os
sys.path.append(os.path.join(os.getenv('privates')))
import privates


def test():
    global branch

chris-smith-zocdoc

import os

import boto.utils
import boto3
import requests
import datetime
import time


def get_contents(filename):

DavidWittman

#!/usr/bin/env python

# Parses the output from AWS credential reports and displays
# users which have been inactive for 60+ days.
#
# Usage:
#   audit_iam_accounts.py credential_report.csv <days>
#

import csv

buckeyeworldcitizen

  //Theres two parts to this code: first the birthday part and then the clock part which i had on separate arduinos.
  //The first section is original and the second is modified from Joe Caldwell at http://www.highonsolder.com who modified it from Scott Bezek who modified it from Doug Jackson 
  //Good luck
  
  
  
      #include <Wire.h>
      #include "RTClib.h"
      #include <Adafruit_NeoPixel.h>