agent-skill-creator

# Agent: Market Research Analyst

## Purpose
This agent is designed to assist marketing teams in gathering and analyzing market research data to inform strategic decisions.

## Skills Required
- Data Collection
- Data Analysis
- Report Generation
- Presentation Creation

## Tasks
1. Gather market research data from specified sources.
2. Analyze the data to identify trends and insights.
3. Generate a comprehensive report summarizing the findings.
4. Create a presentation to visually represent the data and insights.

## Implementation
```python
# Import necessary libraries
import requests
import pandas as pd
import matplotlib.pyplot as plt

# Define the agent class
class MarketResearchAgent:
    def __init__(self, data_sources, analysis_parameters):
        self.data_sources = data_sources
        self.analysis_parameters = analysis_parameters

    def collect_data(self):
        # Code to collect data from specified sources
        data = []
        for source in self.data_sources:
            response = requests.get(source)
            data.append(response.json())
        return data

    def analyze_data(self, data):
        # Code to analyze the collected data
        df = pd.DataFrame(data)
        # Perform analysis based on parameters
        trends = df.groupby('category').mean()
        return trends

    def generate_report(self, trends):
        # Code to generate a report
        report = f"Market Research Report\n\nTrends:\n{trends.to_string()}"
        return report

    def create_presentation(self, report):
        # Code to create a presentation
        plt.figure(figsize=(10, 6))
        plt.plot(trends)
        plt.title('Market Trends')
        plt.xlabel('Categories')
        plt.ylabel('Values')
        plt.savefig('market_trends.png')
        return 'market_trends.png'

# Example usage
if __name__ == "__main__":
    data_sources = ["https://api.example.com/data1", "https://api.example.com/data2"]
    analysis_parameters = {"group_by": "category", "metrics": ["mean", "median"]}
    agent = MarketResearchAgent(data_sources, analysis_parameters)
    data = agent.collect_data()
    trends = agent.analyze_data(data)
    report = agent.generate_report(trends)
    presentation = agent.create_presentation(report)
    print(report)
```