data-analyst-pro

Write optimized SQL queries and dashboard specifications across multiple database engines.

14|6|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/aiunlocked1412/claude-skill-unlock --skill data-analyst-pro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-analyst-pro
Source: https://github.com/aiunlocked1412/claude-skill-unlock/tree/main/skills/03-tech/data-analyst-pro
Command: npx skills add https://github.com/aiunlocked1412/claude-skill-unlock --skill data-analyst-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data-Analyst Pro helps you write production-ready SQL, derive actionable insights, and design dashboard specifications from data, turning numbers into decisions.

Core Features & Use Cases

  • Write optimized SQL across engines (PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, SQLite).
  • Analyze data to extract findings, generate actionable recommendations, and chart dashboards.
  • Use cases include revenue trend analysis, funnel analysis, cohort retention, and dashboard spec design for stakeholders.

Quick Start

Simply provide business questions or a database schema and let the skill return a ready-to-run SQL query plus insights and a dashboard spec.

Frequently Asked Questions about data-analyst-pro

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

FAQPage Schema
How do I write optimized SQL for cohort retention analysis?

To write production-ready SQL for cohort retention, provide your business questions and database schema. The system generates optimized, auditable queries alongside actionable insights and dashboard specifications.

Does this approach support BigQuery and Snowflake for funnel analysis?

Yes, this approach supports BigQuery and Snowflake for funnel analysis. It handles PostgreSQL, MySQL, Redshift, and SQLite, writing optimized SQL to generate actionable insights across these specific database engines.

What is the best way to turn data queries into dashboard specifications?

The best way to turn data queries into dashboard specifications is by running production-ready SQL against your schema. This yields actionable insights paired with specific dashboard requirements for stakeholders.

How do I generate actionable insights from a database schema?

Actionable insights are generated from a database schema by translating business questions into optimized SQL queries. This extracts findings and produces recommendations with reproducible, auditable dashboard designs.

Can I use this for revenue trend analysis in PostgreSQL?

Yes, you can use this for revenue trend analysis in PostgreSQL. By supplying your schema and time range selections, it writes production-ready SQL that ensures clarity, reproducibility, and auditability for your analysis.