This handles the full lifecycle of Salesforce Data Cloud code extensions, from scaffolding a Python project to deploying containerized transformations. You'd reach for it when you need to build custom data transformations that read from and write to Data Lake Objects or Data Model Objects. The workflow is straightforward: init creates the project structure, scan detects permissions from your code, run tests locally against your org, and deploy ships it to Data Cloud via Docker. One heads up: the deploy command requires pointing to the payload directory specifically, not the project root, which trips people up. It wraps the SF CLI plugin and enforces Python 3.11, so you'll want those dependencies sorted first.
npx -y skills add forcedotcom/sf-skills --skill data360-code-extension-generate --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills