sql-queries

Generate SQL queries from natural language across BigQuery, PostgreSQL, and MySQL.

Updated Feb 6, 2026

Search Tags:#database #postgresql #data analysis #sql #mysql #bigquery #query generation

Ready to run

npx skills add https://github.com/spandios/vibe-utils --skill sql-queries-spandios

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sql-queries
Source: https://github.com/spandios/vibe-utils/tree/main/skills/sql-queries
Command: npx skills add https://github.com/spandios/vibe-utils --skill sql-queries-spandios

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill bridges the gap between natural language requests and complex SQL queries, enabling users to retrieve data without deep SQL expertise.

Core Features & Use Cases

Natural Language to SQL: Converts plain English descriptions into executable SQL queries.
Multi-Dialect Support: Generates queries for BigQuery, PostgreSQL, MySQL, Snowflake, and more.
Schema Awareness: Understands database structures from provided schemas or documentation.
Use Case: A product manager needs to analyze user sign-up trends. They can describe the required data in English, and the Skill will generate the precise SQL query to fetch it from the database.

Quick Start

Upload your database_schema.sql file and say: "Generate a query to find users who signed up in the last 30 days and had at least 5 active sessions".

Frequently Asked Questions about sql-queries

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

FAQPage Schema

How do I generate SQL queries from natural language?▼

To generate SQL queries from natural language, provide a plain English description of your data request and upload your database schema file. The system translates this text into executable SQL for your specific database dialect.

Does this natural language SQL generator support PostgreSQL and BigQuery?▼

Yes, this natural language SQL generator supports multiple database dialects including PostgreSQL, BigQuery, MySQL, and Snowflake. It adapts the query syntax to match your specific database platform requirements.

How do I use a database schema file to build accurate SQL queries?▼

To build accurate SQL queries, upload your database_schema.sql file or documentation. The system reads the schema structure to understand table relationships and column names, ensuring the generated SQL matches your database accurately.

Can I translate business questions into SQL for data analysis?▼

Yes, you can translate business questions into SQL for data analysis by typing a plain English request. It converts product or business logic descriptions into precise queries to fetch the required data for reporting.

Do I need to manually write SQL to explore database tables?▼

No, you do not need to manually write SQL to explore database tables. You can describe the data you want to retrieve in natural language, and the system generates the exact query needed to explore your database.