Data360 Code Extension Generate

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.

skills.sh installs: 5K
GitHub stars: 1.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add forcedotcom/sf-skills --skill data360-code-extension-generate --agent claude-code

Installs into .claude/skills of the current project.

Files

data360-code-extension-generate

Overview

A Data 360 code extension is customer-owned Python (PySpark) that runs inside Data 360:

Type	Purpose	Local test
script	Batch transformation deployed as a data transform. Reads and writes DLOs or DMOs.	`script run` against real org data
function	Custom node for Search Index Chunking (`--use-in-feature SearchIndexChunking`).	`function run --test-with test.json`

Workflow: environment check → init → discover schemas → develop → scan → run locally → deploy → run the deployed transform. The skill needs only a shell, file editing, and the ability to ask the user questions. It works with a project venv or with a single system Python 3.11 (cloud workspaces, containers).

Use it to set up a code extension environment, create a script or function package, change payload/entrypoint.py, scan, run locally, deploy, redeploy, or clean up.