Skill UI

This skill acts as a critical bridge between the conceptual idea phase and the automated execution phase. It ingests structured experiment plans (e.g., EXPERIMENT_PLAN.md), parses objectives, metrics, and methodology. It then implements the necessary code (training, evaluation), performs internal code reviews, and deploys the experiments to collect initial results, advancing the research workflow.

This guide identifies and provides solutions for common anti-patterns and mistakes when working with Snowflake. It covers best practices in SQL writing, warehouse resource management, data loading strategies (e.g., using MERGE), and access control setup. It is essential for auditing existing deployments, onboarding new users, or performing code reviews to ensure cost efficiency and data integrity.