Developing Datacloud Code Extension

This walks you through the full lifecycle of building Python transformations for Salesforce Data Cloud, from scaffolding a project with `sf data-code-extension init` through local testing and deployment. The workflow is pretty prescriptive, which is helpful since the deploy command has a gotcha: you must point `--package-dir` at the `payload` subdirectory, not the project root. The skill emphasizes validating your DLO schemas before testing, which will save you from cryptic field mismatch errors. It covers both script-based batch transformations and real-time functions. If you're writing custom Python to read from or write to Data Lake Objects or Data Model Objects, this gives you the guardrails and command sequences you need.