Automating Small Scripts And Formulas

What it does

The user leverages the chat agent to rapidly generate small code snippets, automation scripts, and spreadsheet formulas that would otherwise take too long to build manually. This allows them to solve minor inefficiencies in their daily routine by delegating the implementation details to the AI.

Example output

import pandas as pd

def calculate_monthly_sales_and_flag(csv_filepath: str) -> pd.DataFrame:
    """
    Calculate average monthly sales from a CSV file and flag months where revenue dropped below $5000.

    Parameters:
        csv_filepath (str): Path to the input CSV file. Expected columns include at least 'date' or 'month'
                            and 'revenue' or 'sales'. The function will attempt to auto-detect column names.

    Returns:
        pd.DataFrame: A DataFrame with monthly aggregated sales, average monthly sales per month,
                      and a flag indicating if revenue dropped below $5000 for that month.
    """
    # Read the CSV file efficiently
    df = pd.read_csv(csv_filepath)

    # Auto-detect relevant columns by checking common column name patterns
    date_columns = [col for col in df.columns if 'date' in col.lower() or 'month' in col.lower()]
    revenue_columns = [col for col in df.columns if 'revenue' in col.lower() or 'sales' in col.lower()]

    if not date_columns:
        raise ValueError("No date-related column found. Expected a column with 'date' or 'month' in its name.")
    if not revenue_columns:
        raise ValueError("No revenue/sales column found. Expected a column with 'revenue' or 'sales' in its name.")

    # Use the first detected column for each category
    date_col = date_columns[0]
    revenue_col = revenue_columns[0]
[... truncated, full run would continue]

## Example prompt

Act as an expert developer and data analyst. I need you to write a [language, e.g., Python/Excel] script or formula to solve the following problem: [describe the specific task or inefficiency]. The solution should handle [specific edge cases or constraints] and be optimized for readability. Please provide the complete code/formula along with brief instructions on how to implement it in my current workflow.

## How to build it

Open your chat agent (ChatGPT, Claude, or Copilot) and paste the example prompt. Adjust the inputs in the curly braces and run.