data-analysis

Analyze structured data from files or databases to generate statistical summaries and visualizations.

1|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/smukerji/openTorriAI --skill data-analysis-smukerji
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/smukerji/openTorriAI/tree/main/apps/api/skills/bundled/data-analysis
Command: npx skills add https://github.com/smukerji/openTorriAI --skill data-analysis-smukerji

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users analyze structured data, generate statistical summaries, create visualizations, and extract actionable insights from various data sources like CSV, Excel, and JSON files, or even SQL databases.

Core Features & Use Cases

  • Data Ingestion & Cleaning: Loads and prepares data by handling missing values, outliers, and standardizing formats.
  • Exploratory Data Analysis: Performs univariate, bivariate, and temporal analyses to understand data distributions and relationships.
  • Visualization: Creates clear, well-labeled charts (bar, line, scatter, histogram) using matplotlib/seaborn or plotly.
  • Insight Generation: Provides a structured summary of findings, key metrics, actionable insights, and recommendations.
  • Use Case: Analyze a sales CSV file to identify top-performing products, understand sales trends over time, and recommend strategies for increasing revenue.

Quick Start

Use the data-analysis skill to analyze the attached file 'sales_data.csv' and identify the top 3 performing products.

Frequently Asked Questions about data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a CSV file to generate statistical summaries and visualizations?

To analyze a CSV file for statistical summaries and visualizations, you can use this Skill to load structured data, handle missing values, perform exploratory data analysis, and generate charts like histograms and scatter plots.

Can I use SQL to extract data from databases for exploratory data analysis?

Yes, you can use SQL to query databases for exploratory data analysis. This Skill supports database access to extract structured data, perform temporal and bivariate analyses, and generate actionable business intelligence insights.

Does this data analysis tool support cleaning messy Excel and JSON files?

Yes, this data analysis tool supports cleaning messy Excel and JSON files by handling missing values, managing outliers, and standardizing data formats before generating statistical summaries and visualizations.

What is the best way to identify top-performing products from sales data?

The best way to identify top-performing products from sales data is using exploratory data analysis to aggregate metrics, visualize sales trends over time, and generate structured summaries of actionable insights and recommendations.

Do I need code execution to create charts and reports from structured data?

Yes, you need code execution to create charts and reports from structured data. This Skill requires a code execution environment to process files or database inputs and generate visualizations using libraries like matplotlib or plotly.