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data-analyst

Execute SQL queries and analyze spreadsheet data with Python.

Updated Feb 17, 2026
Search Tags:#data visualization#report generation#data analysis#spreadsheet automation#SQL queries
One-click install
npx skills add https://github.com/Qcasares/saas-app --skill data-analyst-qcasares
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analyst
Source: https://github.com/Qcasares/saas-app/tree/main/skills/data-analyst
Command: npx skills add https://github.com/Qcasares/saas-app --skill data-analyst-qcasares

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, sqlalchemy, matplotlib, seaborn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill turns your AI agent into a powerful data analyst, solving the challenge of interpreting and acting on complex data.

Core Features & Use Cases

  • Data Analysis: Execute SQL queries, analyze spreadsheets, and generate reports.
  • Data Visualization: Create charts, graphs, and dashboards for insightful visualizations.
  • Spreadsheet Automation: Process CSV, Excel, and Google Sheets data.
  • Use Case: Automate the analysis of sales data to identify trends and make informed decisions.

Quick Start

Start the skill and execute a SQL query to extract insights from your data.

Frequently Asked Questions about data-analyst

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

FAQPage Schema
How do I automate data analysis and generate reports from spreadsheets?▼

Automating data analysis and report generation is achieved by executing SQL queries and spreadsheet automation on CSV, Excel, and Google Sheets data. This allows you to process datasets and identify trends to generate actionable insights automatically.

Can I execute SQL queries directly on my spreadsheet data?▼

Executing SQL queries directly on spreadsheet data is supported using SQLAlchemy. You can extract insights from your CSV, Excel, and Google Sheets files by running standard SQL queries against them through your AI agent.

What is the best way to create charts and dashboards for data visualization?▼

Creating charts and dashboards for data visualization is handled through Matplotlib and Seaborn libraries. The skill generates visual representations from your analyzed data, allowing you to view trends and make informed decisions.

Do I need Python and specific libraries to use this data analysis skill?▼

You need Python and specific libraries including Pandas, SQLAlchemy, Matplotlib, and Seaborn to use this data analysis skill. These dependencies are required to execute queries, process spreadsheets, and render visualizations.

How does spreadsheet automation work for identifying sales trends?▼

Spreadsheet automation for identifying sales trends works by processing your CSV and Excel files with Pandas. It analyzes the data to find patterns and generates reports, empowering you to make informed decisions based on the extracted insights.

Are there limitations when processing Google Sheets data for visualization?▼

Limitations when processing Google Sheets data for visualization depend on the integration capabilities of Pandas and SQLAlchemy. While the skill supports Google Sheets data, complex visualizations using Seaborn and Matplotlib require properly structured data formats.

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