data-analysis-agent-business-intelligence

Convert natural language data questions into executable SQL and BI insights.

2|1|Updated May 16, 2026

Search Tags:#visualization #nlp #data-analysis #business-intelligence #sql-generation #excel-csv

Ready to run

npx skills add https://github.com/Aradotso/ai-agent-skills --skill data-analysis-agent-business-intelligence

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-analysis-agent-business-intelligence
Source: https://github.com/Aradotso/ai-agent-skills/tree/main/skills/data-analysis-agent-business-intelligence
Command: npx skills add https://github.com/Aradotso/ai-agent-skills --skill data-analysis-agent-business-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data analysis can be a barrier for non-technical users. This Skill enables natural-language business analytics by letting users upload Excel/CSV files or connect to databases, automatically generate SQL, execute queries, and deliver charts and insights with real-time streaming.

Core Features & Use Cases

Natural Language Queries: ask questions in plain language and receive SQL-backed results and visual recommendations.
Auto SQL Generation & Visualization: converts natural-language questions into optimized SQL and suggests charts.
Multi-Source Data & Reporting: works with Excel, CSV, SQLite, MySQL, PostgreSQL, and Google Sheets; exportable reports and dashboards.
Streaming Insights: provides real-time SSE output as analysis progresses and results update.
Knowledge Base & Collaboration: integrates documents to improve domain understanding and supports stakeholder-friendly outputs.

Quick Start

Ask a plain-language question about your data and connect Excel/CSV or a database to begin generating SQL, charts, and insights immediately.

Frequently Asked Questions about data-analysis-agent-business-intelligence

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

FAQPage Schema

How do I generate SQL from natural language for business intelligence?▼

You can generate SQL from natural language by uploading Excel or CSV files, or connecting a database directly. The Skill automatically translates plain language data questions into optimized SQL queries and returns actionable BI insights.

Can I analyze Excel and CSV files without writing SQL?▼

Yes, you can analyze Excel and CSV files without writing SQL by uploading them directly. The system automatically translates your plain language questions into executable SQL queries and returns visual chart recommendations.

Does this natural language data analysis tool support MySQL and PostgreSQL?▼

Yes, this natural language data analysis tool supports MySQL and PostgreSQL, alongside SQLite and Google Sheets. You can connect these database sources directly to generate SQL and extract business intelligence insights.

What is the best way to build operational dashboards from plain language questions?▼

The best way to build operational dashboards from plain language questions is to connect your data source and ask queries directly. The system generates SQL, suggests charts, and streams real-time SSE feedback to update results instantly.

Do I need a Python Flask server to run streaming insights and SQL generation?▼

Yes, you need a server environment capable of running a Python Flask application to execute SQL generation and receive real-time SSE streaming insights as the data analysis progresses.

How does streaming insights work for real-time business analytics?▼

Streaming insights for real-time business analytics works by using SSE streaming to provide progressive output. As the system generates SQL and executes queries, it updates charts and insights continuously, ensuring immediate feedback during analysis.