Skill UI

This comprehensive guide provides structured steps and code examples for upgrading Databricks Runtime versions and performing critical data migrations. It covers best practices for version compatibility checking, transitioning from Hive Metastore to Unity Catalog using methods like SYNC and CTAS, and updating deprecated API endpoints, ensuring a smooth platform evolution for data pipelines.

This skill manages the complexities of Clari API version changes, ensuring smooth transitions (e.g., v3 to v4). It guides developers through detecting schema drift, performing data field compatibility checks, and executing necessary database migrations (SQL/Python), ensuring reliable data pipelines after platform updates.

A comprehensive guide for creating self-contained, accessible, and budget-compliant scientific exhibits (figures, tables, and maps) for manuscripts, particularly in conservation biology. It covers best practices for data visualization, adhering to journal standards, ensuring accessibility (e.g., grayscale compatibility), and masking sensitive geographical data.

A comprehensive methodological guide for auditing experimental economic designs. Use this when the causal claim hinges on strict experimental control, addressing issues like incentive compatibility, randomization robustness, and adherence to the no-deception norm. It stress-tests the underlying methodology, verifying identification through rigorous design checks.

This router guides researchers through the systematic process of preparing a manuscript for Experimental Economics (ExpEcon), the ESA's flagship journal. It identifies the correct specialized skills (e.g., theory modeling, robustness checks, referee strategy, rebuttal) needed at each stage, ensuring adherence to methodological rigor, including incentive compatibility and the no-deception norm. It is designed to help teams structure their research from initial design to final submission.

This tool guides authors through the rigorous standards required for publishing in top experimental economics journals. It serves as a comprehensive checklist, evaluating a manuscript's fit, methodological strength, design transparency, and structural requirements (e.g., pre-registration, incentive-compatibility) against best practices in behavioral and experimental economics.