sql-queries-plain-english-queries-expert

Translate plain-English data questions into production-ready SQL queries across multiple dialects.

75|8|Updated Dec 20, 2023
One-click install
npx skills add https://github.com/flowkraft/reportburster --skill sql-queries-plain-english-queries-expert
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sql-queries-plain-english-queries-expert
Source: https://github.com/flowkraft/reportburster/tree/main/asbl/src/main/external-resources/db-template/_apps/flowkraft/_ai-hub/.skills/sql-queries-plain-english-queries-expert
Command: npx skills add https://github.com/flowkraft/reportburster --skill sql-queries-plain-english-queries-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill translates natural language data questions into correct, optimized SQL across multiple vendors, reducing back-and-forth and accelerating data-driven decision making.

Core Features & Use Cases

  • Plain-English to SQL translation across dialects (PostgreSQL, MySQL, SQL Server, Oracle, etc.)
  • Query optimization, refactoring, and syntax debugging for production-ready queries
  • Use Case: Imagine asking "Show me top customers by revenue last quarter" and receiving a complete SQL query ready to run

Quick Start

Example: generate a SQL query to list total sales by month for the last year from the invoices table.

Frequently Asked Questions about sql-queries-plain-english-queries-expert

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

FAQPage Schema
How do I generate SQL queries from plain English questions across different dialects?

You can generate SQL queries from plain English by translating natural language data questions into production-ready code across multiple dialects like PostgreSQL, MySQL, SQL Server, and Oracle, receiving final SQL with explanations and optimization guidance.

What is the best way to optimize and refactor SQL queries for production?

The best way to optimize SQL queries for production is by translating plain-English requirements into refactored, syntax-debugged queries that include built-in optimization guidance tailored to your specific database dialect and schema design.

Can I use plain English to write SQL for PostgreSQL and MySQL?

Yes, you can use plain English to write SQL for PostgreSQL and MySQL. The translation process adapts to varying schema designs across multiple vendors, ensuring the generated queries are syntactically correct for your specific database environment.

How do I debug SQL syntax errors when translating natural language queries?

To debug SQL syntax errors during natural language translation, the process automatically refactors and checks the plain-English input against the target dialect's rules, returning corrected, production-ready SQL along with detailed explanations.

Does plain-English SQL generation adapt to different database schema designs?

Yes, plain-English SQL generation adapts to different database schema designs. It translates natural language questions into optimized queries by understanding the underlying schema structure across various SQL dialects like Oracle and SQL Server.