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Claude AI Assistant Workflow Guide

This guide outlines the optimal workflow for leveraging Claude AI across your development, documentation, and problem-solving tasks.

Preparation Phase

1. Define Context
   • Provide relevant code snippets, files, or project structure
   • Share error messages or logs when troubleshooting

• Include any constraints (performance, memory, compatibility)

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#!/bin/bash
# Universal WebDAV Server Setup Script for Debian 12
# Works on both standard Debian 12 and WSL environments

# Exit on any error
set -e

# Configuration variables
WEBDAV_DIR="/var/www/webdav"
WEBDAV_CONF="/etc/apache2/sites-available/webdav.conf"

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# pip install --upgrade google-cloud-discoveryengine humanize
## Install this before running

import humanize
import time
import re
from typing import List, Optional

from google.api_core.client_options import ClientOptions
from google.cloud import discoveryengine_v1beta as discoveryengine

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import pyodbc
import json

# Connect to your database - don't hardcode the creds!
conn = pydobc.connect(database="your_database", user="your_username", password="your_password", host="your_host", port="your_port")
cur = conn.cursor()

# List of your tables
tables = ["table1", "table2", "table3", "table4", "table5", "table6", "table7", "table8", "table9"]

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DECLARE @TableName nvarchar(128);
DECLARE @Command nvarchar(500);

DECLARE TableCursor CURSOR FOR 
SELECT table_name FROM information_schema.tables
WHERE table_schema = 'myschema';

OPEN TableCursor;

FETCH NEXT FROM TableCursor INTO @TableName;

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#!/usr/bin/env python
# encoding: utf-8

import tweepy #https://github.com/tweepy/tweepy
import csv

#Twitter API credentials
consumer_key = ""
consumer_secret = ""
access_key = ""