skill-mcp

```python
# Skill-MCP Automated Task Manager
# Task: Automate customer feedback analysis for TechSolutions Inc. in the IT sector
# Data: Customer feedback CSV files
# Tools: Python, Pandas, NLP libraries

import pandas as pd
from textblob import TextBlob

def analyze_feedback(file_path):
    # Load data
    df = pd.read_csv(file_path)
    
    # Analyze sentiment
    df['sentiment'] = df['feedback'].apply(lambda x: TextBlob(x).sentiment.polarity)
    
    # Categorize feedback
    df['category'] = df['feedback'].apply(lambda x: 'positive' if TextBlob(x).sentiment.polarity > 0 else 'negative' if TextBlob(x).sentiment.polarity < 0 else 'neutral')
    
    return df

# Usage
feedback_data = analyze_feedback('customer_feedback.csv')
print(feedback_data.head())
```

This skill automates the analysis of customer feedback for TechSolutions Inc. It uses Pandas to load and manipulate the data, and TextBlob for sentiment analysis. The skill categorizes feedback as positive, negative, or neutral based on sentiment polarity.