data-analysis
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Data Analysis & Visualization Skill
This skill empowers the agent to perform data analysis and generate visualizations using Python libraries. It is designed to be used in conjunction with a sandbox environment.
Capabilities
1. Data Processing
- Pandas: Clean, filter, and aggregate data.
- NumPy: Numerical computations.
2. Visualization
- Matplotlib/Seaborn: Generate high-quality charts (bar, line, scatter, pie, heatmap).
- Theme Matching: Apply color palettes consistent with the document theme.
Usage
The skill provides utility functions to generate Python code that can be executed in the sandbox.
Scripts
-
code_generator.py: Generates Python scripts for analysis and plotting. -
visualizer.py: Helper library (injected into sandbox) to ensure consistent styling.
Dependencies (Sandbox Environment)
- pandas
- numpy
- matplotlib
- seaborn
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-28
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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