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.

Install to Claude Code

npx -y skills add forcedotcom/sf-skills --skill developing-datacloud-code-extension --agent claude-code