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sql-gen

Convert natural language requests into executable SQL queries.

1|Updated Jan 30, 2026
Search Tags:#database#queries#sql#generate#ai-assisted#natural-language
One-click install
npx skills add https://github.com/jieni777/opencode-config-backup --skill sql-gen-jieni777
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sql-gen
Source: https://github.com/jieni777/opencode-config-backup/tree/main/skills/ai-sql
Command: npx skills add https://github.com/jieni777/opencode-config-backup --skill sql-gen-jieni777

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill translates natural language requests into accurate SQL queries to speed up data retrieval and reduce manual coding.

Core Features & Use Cases

  • Converts English descriptions into SQL statements across multiple dialects.
  • Supports complex joins, filtering, grouping, and aggregation with validation.
  • Use Case: A product manager can ask for "top 5 products by revenue last quarter" and receive a ready-to-run SQL query.

Quick Start

Describe your data requirement in plain English and receive a ready-to-run SQL query.

Frequently Asked Questions about sql-gen

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

FAQPage Schema
How do I generate SQL queries from natural language requests?▼

Yes, you can convert English descriptions into dialect-aware SQL statements across multiple database dialects. It supports complex joins, filtering, grouping, and aggregation with validation for accurate data analysis.

Do I need an OpenAI API key to turn text into SQL?▼

As a product manager or data analyst, you can request metrics like top 5 products by revenue last quarter and receive a ready-to-run SQL query. This accelerates data analysis without manual coding.

What is the best way to write complex SQL joins and aggregations from plain English?▼

It transforms natural language requests into accurate SQL queries to speed up data retrieval. By automating query generation, it reduces manual coding errors for data analysts and product teams.

How does natural language to SQL conversion work for different database schemas?▼

It applies to data analysts, engineers, and product teams who need quick, correct SQL across multiple databases and schemas. It helps users retrieve data accurately without deep SQL expertise.

Are there limitations when generating SQL from text for large databases?▼

Before using this tool, install Node.js 18+ and obtain an OpenAI API key. You also need to understand your target database schemas to formulate accurate natural language requests for SQL generation.

Can I use AI to write SQL queries for multiple database dialects?▼

After generating SQL queries, execute them in your database environment to retrieve data. You can then use the results for downstream data analysis, reporting, or visualization tasks.

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