refresh-databricks-skills

Syncing Databricks skills from the upstream ai-dev-kit repository preserves custom skills by shallow cloning the repo, filtering out non-Databricks skills, replacing outdated Databricks sets, and cleaning up temporary files automatically.

The best way to sync ai-dev-kit skills is using an automated workflow that performs shallow cloning of the upstream repository, copies new Databricks skill sets to your local project directory, and cleans up temporary files without manual intervention.

Syncing upstream Databricks skills does not overwrite project-specific tools. The process automatically identifies and retains non-Databricks skills, including superpowers workflow skills, while replacing only outdated Databricks skill sets.

You need to sync Databricks skills when the upstream ai-dev-kit repository adds new Databricks skills or updates existing functionality, ensuring your Databricks Apps maintain the latest features without risking manual update errors.

This skill sync workflow is specifically designed for Databricks development projects. It filters out non-Databricks skills during synchronization, making it unsuitable for managing or updating custom non-Databricks skill sets in other environments.