write-query

Translate natural-language data requests into dialect-aware SQL queries.

46|11|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/clawpod-app/awesome-openclaw-agent-packs --skill write-query-clawpod-app
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: write-query
Source: https://github.com/clawpod-app/awesome-openclaw-agent-packs/tree/main/packs/data/skills/write-query
Command: npx skills add https://github.com/clawpod-app/awesome-openclaw-agent-packs --skill write-query-clawpod-app

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translates natural-language data requests into efficient, dialect-aware SQL queries that handle complex joins, aggregations, and performance considerations across multiple database platforms.

Core Features & Use Cases

  • Dialect-aware translation: Converts natural language descriptions into SQL tailored for PostgreSQL, Snowflake, BigQuery, Redshift, and others.
  • Readable, maintainable queries: Produces well-structured SQL with clear CTEs, descriptive aliases, and clean formatting.
  • Use Case: Example: convert a request like "show total sales by month for last quarter" into a query with date filtering, grouping, and ordered results.

Quick Start

Describe your data need and specify your SQL dialect.

Frequently Asked Questions about write-query

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

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

To generate optimized SQL from natural language, you describe your data need and specify your SQL dialect. The tool translates plain English into efficient, dialect-aware queries with proper CTEs and descriptive aliases.

Does this SQL query generator work with Snowflake, BigQuery, PostgreSQL, and Redshift?

Yes, the SQL query generator works with PostgreSQL, Snowflake, BigQuery, and Redshift. It produces dialect-aware SQL tailored to your specific database platform, ensuring the generated syntax matches your environment.

Can I write complex SQL queries with multiple joins and aggregations using natural language?

You can write complex SQL with multiple joins and aggregations using natural language. The tool supports advanced operations including partitioning and grouping, translating them into readable, maintainable queries ready for execution.

What is the best way to automate SQL query writing for data analysis?

The best way to automate SQL query writing for data analysis is using a dialect-aware translation tool. It converts natural language data needs into structured SQL with clean formatting, clear CTEs, and descriptive aliases, ready for immediate execution.

How do I ensure my generated SQL is readable and maintainable?

To ensure generated SQL is readable and maintainable, the tool automatically structures queries with clear Common Table Expressions (CTEs), descriptive table aliases, and clean formatting standards for consistent output.