Score
9.0
/ 10
Installs
—
Repo Stars
240
Last Updated
0d ago
Quality Ratio
95%
Description
Verified
Language
Python
First Published
Feb 2026
Platforms
1
Summary
The Data Analysis agent skill enables agents to analyze spreadsheet data, generate deep insights, create various visualizations, and build comprehensive reports from Excel or CSV files. This is particularly valuable for data analysts, business intelligence professionals, and developers working with structured data who need quick insights and ready-to-use visualizations without manual manipulation. It is a popular skill in the registry, falling into the category of a skill with 4K installs. The skill guides the AI to perform exploratory analysis with prompts like "What patterns do you see?" or "Give me an overview of this dataset," and supports specific inquiries such as "What was the total revenue by region?" It can also generate tailored formulas or recommend appropriate chart types for visualization requests. This agent skill provides structured output formats for data overviews, statistical summaries, and full insight reports, ensuring consistent and clear communication of findings. While highly capable, it does not directly execute code on your data and may require sampling for very large datasets.
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