data360-code-extension-generate

What problem does it solve?

This Skill removes the complexity of creating, validating, testing, and deploying Salesforce Data Cloud code extensions so teams can turn Python transformation logic into working Data Cloud jobs with fewer setup mistakes.

Core Features & Use Cases

• Project Initialization: Scaffold script-based or function-based code extension projects with the correct payload structure.
• Development and Testing: Write Python transformations, scan for permissions, and run the entrypoint locally against an authenticated org.
• Deployment Guardrails: Validate DLO and DMO usage, confirm schema compatibility, and deploy with the required payload directory and versioning.
• Use Case: A data engineer can create a transformation that reads employee DLO data, enriches it, scans permissions automatically, tests it locally, and deploys it to Data Cloud for scheduled execution.

Quick Start

Ask me to create, scan, test, and deploy a Salesforce Data Cloud code extension for your target org, and I will guide the full workflow from project setup to payload deployment.