bkit-claude-code

## PDCA Analysis for [SPECIFIC TASK] Automation

### Plan
- **Current Process**: [DESCRIBE PROCESS]
- **Pain Points**: [IDENTIFIED ISSUES]
- **Goals**: [DESIRED OUTCOMES]

### Do
- **Claude Code Suggestion**: Implement a Python script using the following libraries: `pandas`, `numpy`, and `automate`
- **Script Outline**:
  ```python
  import pandas as pd
  import numpy as np
  from automate import *
  
  def automate_task(data):
      # Load data
      df = pd.read_csv(data)
      # Process data
      df['processed'] = df['raw_data'].apply(process_function)
      # Save results
      df.to_csv('processed_data.csv', index=False)
      return df
  
  def process_function(x):
      # Add processing logic here
      return x * 2  # Example operation
  
  if __name__ == '__main__':
      data = 'input_data.csv'
      automate_task(data)
  ```

### Check
- **Verification Steps**:
  1. Validate data integrity post-processing
  2. Compare output with manual process results
  3. Measure time saved

### Act
- **Implementation Plan**:
  1. Integrate script into existing workflow
  2. Train team on new process
  3. Monitor performance and iterate