Why does the skill require a separate research file?

Creating a dedicated research file in markdown ensures that there is a verifiable, scannable reference that justifies the implementation logic and assists in future maintenance.

What is the primary goal of the SQL Research skill?

The primary goal is to ensure SQL correctness by requiring thorough research and documentation of database-specific syntax and behaviors before any code is implemented.

Is this skill only for dbplyr developers?

While it is optimized for dbplyr's translation requirements, the structured research workflow is valuable for any developer building cross-database applications.

How does the skill handle different database versions?

The workflow specifically instructs the AI to search for and document version-specific differences and compatibility requirements for every function researched.

SQL Research & Documentation

Name: SQL Research & Documentation
Author: Microck

byMicrock

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Database Management

Conducts deep research into database-specific SQL syntax and behaviors to ensure accurate implementation and translation.

About

The SQL Research skill provides a structured framework for investigating the nuances of various SQL dialects before implementing translations, particularly for tools like dbplyr. It guides Claude through a rigorous process of searching official documentation, identifying version-specific behaviors, and documenting findings in a standardized format. This skill is essential for developers who need to ensure SQL correctness across multiple database backends by verifying function signatures, return types, NULL handling, and implementation limitations.

Key Features

Multi-source verification process for edge cases
Structured documentation templates for database functions
81 GitHub stars
Standardized research workflow for diverse SQL dialects
Version-specific syntax and limitation tracking
Tailored for R-to-SQL (dbplyr) translation requirements

Use Cases

Documenting edge cases for complex window functions and aggregate behaviors
Researching SQL function differences across PostgreSQL, SQL Server, and BigQuery
Preparing implementation specifications for cross-database translations

About

Key Features

Multi-source verification process for edge cases
Structured documentation templates for database functions
81 GitHub stars
Standardized research workflow for diverse SQL dialects
Version-specific syntax and limitation tracking
Tailored for R-to-SQL (dbplyr) translation requirements

Use Cases

Documenting edge cases for complex window functions and aggregate behaviors
Researching SQL function differences across PostgreSQL, SQL Server, and BigQuery
Preparing implementation specifications for cross-database translations