Developing Datacloud Code Extension

This handles the full lifecycle of building Python transformations for Salesforce Data Cloud, from scaffolding a project with the SF CLI plugin through local testing to Docker-based deployment. The workflow is pretty specific: init creates the project structure, scan detects what DLOs and DMOs you're touching to generate permissions, run tests against your actual Data Cloud org, and deploy packages it up. The skill emphasizes a critical gotcha that the deploy command needs to point at the payload subdirectory, not the project root, which will save you from a common mistake. It also bakes in schema validation steps before testing, which is smart since field mismatches are apparently a frequent pain point.