sql-queries

Generates optimized SQL queries from natural language descriptions across multiple database dialects.

Updated Aug 10, 2026
One-click install
npx skills add https://github.com/Choi-Keith/skill-arsenal-ultra --skill sql-queries-choi-keith
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sql-queries
Source: https://github.com/Choi-Keith/skill-arsenal-ultra/tree/main/plugins/pm-skills/pm-data-analytics/skills/sql-queries
Command: npx skills add https://github.com/Choi-Keith/skill-arsenal-ultra --skill sql-queries-choi-keith

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Writing SQL by hand is slow and error-prone, especially when you are not deeply familiar with a database's schema or dialect-specific syntax. This Skill converts plain-language business questions into ready-to-run SQL queries, so product managers, analysts, and engineers can get answers from data without memorizing syntax. ## Core Features & Use Cases - Natural Language to SQL: Describe the data you need in plain language and receive a commented, production-usable query. - Multi-Dialect Support: Generates queries for BigQuery, PostgreSQL, MySQL, Snowflake, and SQL Server, adapting syntax to your platform. - Schema-Aware Generation: Reads uploaded schema files, SQL dumps, or table descriptions to produce queries that match your actual tables, columns, keys, and relationships. - Optimization & Explanation: Includes performance suggestions (indexes, partitioning) and plain-language explanations of query logic, plus optional test scripts and sample data. - Use Case: Upload your database_schema.sql and ask for a query that finds users who registered in the last 30 days with at least 5 active sessions — you get the SQL, an explanation, and testing guidance. ## Quick Start Ask the agent to generate a BigQuery query that calculates average session duration per user for January 2026 based on your Users and Sessions tables.

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?

Describe the data you need in plain language, including filters, aggregations, and sorting, and the Skill produces a commented SQL query. Providing your database schema or table structure improves accuracy significantly.

How to write SQL queries without knowing the database schema?

Upload a schema file, SQL dump, or a simple text description of your tables and columns. The Skill analyzes table names, data types, primary keys, and foreign keys before generating the query so it matches your actual structure.

Which SQL dialects are supported for query generation?

The Skill supports BigQuery, PostgreSQL, MySQL, Snowflake, and SQL Server. State your target database when making the request so the generated syntax, functions, and date handling match that dialect.

Can generated SQL queries be optimized for large datasets?

Yes. The Skill provides performance considerations such as indexing, partitioning, and query structure suggestions for large tables. Mention your data volume and performance constraints when submitting the request.

What are the limitations of natural language to SQL generation?

Ambiguous business questions or missing schema details can produce incorrect joins or filters. Always review the explanation, validate results against known values, and test with sample data before running queries in production.