data-analyst

Discover tables, run SQL queries, and export results to CSV.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/abhiroopb/synthetic-mind --skill data-analyst-abhiroopb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-analyst
Source: https://github.com/abhiroopb/synthetic-mind/tree/main/skills/data-analyst
Command: npx skills add https://github.com/abhiroopb/synthetic-mind --skill data-analyst-abhiroopb

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of analyzing business data, answering data-driven questions, and creating insightful visualizations, overcoming the common challenges of discovering the right tables, writing correct SQL, and building meaningful charts.

Core Features & Use Cases

  • Data Discovery: Utilizes a Query Expert to find relevant tables and understand query patterns.
  • Exploratory Analysis: Allows for incremental data exploration and query execution.
  • Reproducible Outputs: Exports query results to CSV and creates comprehensive visual analyses in notebooks, all anchored to feature directories.
  • Use Case: Analyze daily transaction volume by country for the last 3 months and create a notebook with charts showing customer churn by segment.

Quick Start

Analyze the transaction data for the last 3 months.

Frequently Asked Questions about data-analyst

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

FAQPage Schema
How do I analyze business data and create visualizations from SQL queries?

To analyze business data and create visualizations, you can use a structured workflow to discover relevant tables, execute SQL queries, export results to CSV, and build visual analyses in notebooks for reproducible insights.

What is the best way to discover relevant tables for exploratory data analysis?

Discovering relevant tables for exploratory data analysis is handled by a Query Expert component that identifies applicable database tables and understands query patterns to streamline your data discovery process.

Can I export SQL query results to CSV for reproducible data analysis?

Yes, you can export SQL query results to CSV. The workflow anchors exported data and visual notebooks to a specific feature directory to ensure your data analysis outputs remain fully reproducible.

How do I build comprehensive visual analyses in notebooks from database tables?

Building comprehensive visual analyses in notebooks involves writing SQL queries against discovered tables, exporting the results, and applying various supported visualization styles to create charts within the notebook environment.

Does this data analysis workflow support incremental data exploration?

Yes, the data analysis workflow supports incremental data exploration, allowing you to progressively query and explore your dataset before exporting results or generating final visualizations in a notebook.

What types of charts can I create when I analyze data with this workflow?

When you analyze data, you can create various visualization styles in notebooks, such as charts showing customer churn by segment or daily transaction volume, tailored to your specific business data queries.