Data Analysis

Analyze tabular data from CSV, Excel, or other structured formats. Generate summary statistics, discover patterns, answer specific questions, and produce visualizations. Uses Python with pandas for data manipulation and matplotlib/seaborn for charts.

Overview

The Data Analysis skill, hosted in the TerminalSkills/skills repository, provides AI agents with the capability to process and interpret structured information from formats such as CSV and Excel. By utilizing the Python pandas library, the skill performs data manipulation to extract summary statistics, identify underlying patterns, and address specific analytical queries. For visual representation, it integrates matplotlib and seaborn to generate charts and graphs. This tool is compatible with several AI platforms, including Claude, Gemini, and Cursor. As part of a repository with 72 stars, it offers a standardized approach for agents to handle tabular data programmatically, allowing users to automate routine data processing tasks within their agent-driven workflows.

Use Cases

Generating descriptive statistics and summary reports from uploaded CSV datasets.
Creating visual trend charts and distributions using matplotlib and seaborn libraries.
Identifying specific data patterns or answering complex queries within Excel spreadsheets.

Install Notes

# Review source first
open https://github.com/TerminalSkills/skills/blob/main/skills/data-analysis/SKILL.md

Copy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.

Security Notes

This skill executes Python code to perform data processing and visualization. Users should ensure the execution environment contains the required dependencies and that the AI agent possesses the necessary permissions to access local data files and write output files.

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