sql-research

Produces research on SQL dialect nuances for accurate Dubugging and translation of Dart code.

514|191|Updated Mar 28, 2017
One-click install
npx skills add https://github.com/tidyverse/dbplyr --skill sql-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sql-research
Source: https://github.com/tidyverse/dbplyr/tree/main/.claude/skills/sql-research
Command: npx skills add https://github.com/tidyverse/dbplyr --skill sql-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the critical need for accurate and reliable SQL syntax and behavior knowledge across various database dialects. It prevents errors and ensures robust database interactions by guiding thorough research before any SQL-related implementation.

Core Features & Use Cases

  • Structured Research Workflow: Guides you through a systematic process to find, document, and verify SQL specifics from official database documentation.
  • Database-Specific Insights: Focuses on crucial nuances like NULL handling, type coercion, version differences, and edge cases that are vital for accurate R-to-SQL translation.
  • Use Case: Before implementing a new date function translation for PostgreSQL in dbplyr, use this skill to thoroughly research DATE_TRUNC's syntax, arguments, return types, and behavior in PostgreSQL's official documentation.

Quick Start

Research the STRING_AGG function in SQL Server, including its syntax, key behaviors, and limitations, and document your findings.

Frequently Asked Questions about sql-research

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

FAQPage Schema
How do I research SQL syntax differences across database backends?

SQL syntax varies significantly across database backends like PostgreSQL, SQL Server, and MySQL. This Skill guides you through structured research of official documentation to identify dialect-specific syntax, NULL handling, type coercion, and edge cases before implementing SQL translations, ensuring accurate cross-database support.

What should I document when researching a SQL function for dbplyr translation?

Document the function's syntax, arguments, return types, NULL behavior, type coercion rules, version differences, and known limitations. Include citations from official database documentation and edge cases specific to each SQL dialect to support accurate translation and comprehensive testing in dbplyr.

Why is researching SQL behavior important before implementing database translations?

Database dialects handle operations differently—PostgreSQL's DATE_TRUNC behaves differently than SQL Server's equivalent. Thorough research prevents runtime errors, ensures correct NULL handling, and captures version-specific behavior, making translations robust and reliable across environments.

Can I use this Skill to verify if a SQL function works the same across different databases?

Yes. This Skill provides a systematic workflow to research how a function operates across multiple database backends, documenting syntax variations, behavioral differences, and limitations. You'll identify where functions diverge and capture the specifics needed for accurate implementation decisions.

What database backends does this research process cover?

This Skill applies to any SQL database backend with official documentation—PostgreSQL, SQL Server, MySQL, SQLite, and others. The structured research methodology works across dialects to uncover syntax, type handling, NULL behavior, and version-specific differences that affect R-to-SQL translation.

How do I handle edge cases and version differences when researching SQL syntax?

Document edge cases and version-specific behavior by consulting official database release notes and documentation. This Skill guides you to record which versions support specific syntax, how NULL handling changed across releases, and when functions were introduced or deprecated—critical for supporting multiple database versions.