claude-code-plugins-plus-skills

To build a Claude Code plugin that integrates with Productiv for expense tracking, follow these steps:

1. **Set Up the Development Environment**:
   - Install the necessary libraries: `pip install requests pandas jupyter`
   - Ensure you have access to Productiv's API credentials.

2. **Create the Plugin Structure**:
   - Create a new directory for your plugin and navigate into it.
   - Initialize a new Jupyter notebook for development.

3. **Fetch Expense Data**:
   - Use the following Python code to fetch expense data from Productiv's API:
     ```python
     import requests
     import pandas as pd
     
     # Replace with your Productiv API credentials
     API_KEY = 'your_api_key'
     TEAM_ID = 'your_team_id'
     
     # API endpoint to fetch expense data
     url = f'https://api.productiv.com/teams/{TEAM_ID}/expenses'
     headers = {'Authorization': f'Bearer {API_KEY}'}
     response = requests.get(url, headers=headers)
     data = response.json()
     
     # Convert the data to a pandas DataFrame
     df = pd.DataFrame(data['expenses'])
     ```

4. **Generate the Summary Report**:
   - Use the following code to generate a summary report:
     ```python
     # Group expenses by category and calculate the total amount
     summary = df.groupby('category')['amount'].sum().reset_index()
     
     # Save the summary to a CSV file
     summary.to_csv('expense_summary.csv', index=False)
     print('Expense summary report generated successfully.')
     ```

5. **Deploy the Plugin**:
   - Follow the Claude Code plugin deployment guidelines to package and deploy your plugin.

This plugin will automate the process of fetching and summarizing expense data from Productiv, making it easier for teams to track their expenses efficiently.