daily-opencode-workspace/.opencode/skills/csv-data-summarizer/resources/README.md

CSV Data Summarizer - Resources

---

🌟 Connect & Learn More

🚀 Join Our Community

🔗 All My Links

🛠️ Become a Builder

🐦 Follow on Twitter

---

Sample Data

The sample.csv file contains example sales data with the following columns:

• date: Transaction date
• product: Product name (Widget A, B, or C)
• quantity: Number of items sold
• revenue: Total revenue from the transaction
• customer_id: Unique customer identifier
• region: Geographic region (North, South, East, West)

Usage Examples

Basic Summary

Analyze sample.csv

With Custom CSV

Here's my sales_data.csv file. Can you summarize it?

Focus on Specific Insights

What are the revenue trends in this dataset?

Testing the Skill

You can test the skill locally before uploading to Claude:

# Install dependencies
pip install -r ../requirements.txt

# Run the analysis
python ../analyze.py sample.csv

Expected Output

The analysis will provide:

1. Dataset dimensions - Row and column counts
2. Column information - Names and data types
3. Summary statistics - Mean, median, std dev, min/max for numeric columns
4. Data quality - Missing value detection and counts
5. Visualizations - Time-series plots when date columns are present

Customization

To adapt this skill for your specific use case:

1. Modify analyze.py to include domain-specific calculations
2. Add custom visualization types in the plotting section
3. Include validation rules specific to your data
4. Add more sample datasets to test different scenarios