Score
9.0
/ 10
Installs
—
Repo Stars
561
Last Updated
0d ago
Quality Ratio
95%
Description
Verified
Language
Python
First Published
Feb 2026
Platforms
1
Summary
The Data Analysis agent skill helps users explore spreadsheet and CSV data, performing statistical analysis to uncover insights, generate visualizations, and structure comprehensive reports. This skill is invaluable for data analysts, business intelligence professionals, and developers who need to quickly derive actionable intelligence from tabular data without extensive manual processing. It is a skill with 7K installs, indicating its broad utility within the registry. It guides the AI agent to conduct exploratory analysis, answer specific questions like "What patterns do you see in this data?", and fulfill visualization requests such as "Create a chart showing sales trends." The skill also generates detailed data overviews, statistical summaries, insight reports, and Excel/Google Sheets formulas. It defines common analysis workflows for sales, customer, and financial data, while also providing best practices for data cleaning and effective visualizations. However, this agent skill cannot directly execute code on your data, process real-time connections, or guarantee 100% accuracy on OCR'd data.
Skill Definition
Data Analysis Mission
Analyze the provided data files using pandas, numpy, and matplotlib.
Guidelines
- Load input files from /home/user/input/ using pandas (CSV, Excel, JSON supported)
- Perform statistical analysis: descriptive stats, correlations, distributions
- Generate clear visualizations (charts, plots) saved as PNG/PDF to /home/user/output/
- Export processed data or summaries to /home/user/output/
- Pre-installed: pandas, numpy, matplotlib, scipy, scikit-learn
- Handle missing data gracefully (fillna, dropna as appropriate)
- Print a JSON summary at the end with key findings