refresh-databricks-skills

To update Databricks skills, this process clones the upstream ai-dev-kit repository and selectively replaces existing skills. It ensures your local project has the most current Databricks functionalities without manual file copying.

Refreshing Databricks skills preserves your project-specific and non-Databricks skills during the update. The selective replacement mechanism targets only the Databricks skill directories, leaving your custom configurations intact.

Syncing Databricks skills requires Git for cloning the upstream repository and standard file system operations for copying and removing directories. Ensure Git is installed and accessible in your environment before execution.

You should use an automated skill sync when new Databricks features are released and integrated into the ai-dev-kit. It seamlessly updates your local skill set without manual intervention, keeping your agent current.

A limitation of selectively updating skills is that it relies entirely on the upstream ai-dev-kit repository state. It cannot merge custom modifications if they conflict with upstream changes, requiring manual resolution.

The best way to keep Databricks agent skills current is running an automated sync that pulls the latest versions from the ai-dev-kit. This selectively updates Databricks components while preserving your other project tools.