The SQL Research skill provides a rigorous, standardized workflow for investigating SQL dialects and features before implementation. It guides the AI through searching official documentation, identifying critical edge cases like NULL handling and 0-vs-1 indexing, and creating structured research files. By enforcing a 'documentation-first' principle, it ensures that SQL-generating code, particularly for tools like dbplyr, is built on a foundation of verified technical facts across diverse backends such as PostgreSQL, SQL Server, and BigQuery.
主な機能
01Standardized research templates for SQL functions and commands
02Comprehensive checklists for SQL correctness and reliability
030 GitHub stars
04Focus on R-to-SQL translation nuances like type coercion
05Multi-source verification workflow for database edge cases
06Version-specific feature tracking and documentation