Why is this skill useful for dbplyr developers?

It provides a specific framework for mapping R functions to SQL equivalents, ensuring that edge cases like NULL handling and indexing are handled correctly across different dialects.

Does this skill automate the documentation process?

It provides the structure, templates, and search methodology for Claude to follow, ensuring that the resulting documentation is consistent, minimal, and focused on implementation needs.

What is the main goal of the SQL Research skill?

The primary goal is to ensure SQL correctness by enforcing a workflow where developers must research and document specific database behaviors before implementing any SQL-generating code.

Which databases does this skill support?

This skill is dialect-agnostic and is designed to work with any SQL backend, including PostgreSQL, SQL Server, MySQL, BigQuery, Oracle, and SQLite.

SQL Research Guide

Name: SQL Research Guide
Author: Microck

byMicrock

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Database Management

Conducts systematic research into database-specific SQL syntax and behaviors to ensure accurate implementation of database translations.

About

The SQL Research skill provides a rigorous, documentation-first workflow for developers building database-specific features or translations, particularly within the dbplyr ecosystem. It enforces a systematic approach to investigating official database documentation, identifying version-specific quirks, and documenting NULL handling, type coercion, and syntax edge cases before implementation begins. By prioritizing research correctness and structured documentation, it minimizes bugs in SQL-generating code and ensures reliable performance across diverse database dialects like PostgreSQL, SQL Server, and BigQuery.

Key Features

Focus on translation-critical behaviors like NULL handling and type coercion
Rigorous verification process requiring multiple authoritative sources and citations
Structured workflow for investigating SQL dialects and version-specific syntax
81 GitHub stars
Enforced documentation-first principle to prevent implementation errors
Standardized research templates for documenting function signatures and edge cases

Use Cases

Creating standardized internal documentation for database-specific SQL features
Implementing R-to-SQL translations for new database backends in dbplyr
Researching complex window functions or aggregate behaviors across SQL versions

About

Key Features

Focus on translation-critical behaviors like NULL handling and type coercion
Rigorous verification process requiring multiple authoritative sources and citations
Structured workflow for investigating SQL dialects and version-specific syntax
81 GitHub stars
Enforced documentation-first principle to prevent implementation errors
Standardized research templates for documenting function signatures and edge cases

Use Cases

Creating standardized internal documentation for database-specific SQL features
Implementing R-to-SQL translations for new database backends in dbplyr
Researching complex window functions or aggregate behaviors across SQL versions