skills.rest
angryracoon
angryracoonCOMMUNITY
Explore all skills by this author →
GitHub

data360-code-extension-generate

Develop and deploy Salesforce Data Cloud code extensions from Python transformation entrypoints.

Updated Jun 17, 2026
Search Tags:#deployment#python#transformation#schema validation#salesforce#data cloud#code extension
One-click install
npx skills add https://github.com/angryracoon/ARIEF-VISEO-DEV-ORG --skill data360-code-extension-generate
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data360-code-extension-generate
Source: https://github.com/angryracoon/ARIEF-VISEO-DEV-ORG/tree/main/.agents/skills/data360-code-extension-generate
Command: npx skills add https://github.com/angryracoon/ARIEF-VISEO-DEV-ORG --skill data360-code-extension-generate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

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.

Frequently Asked Questions about data360-code-extension-generate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy Python transformations to Salesforce Data Cloud?▼

To deploy Python transformations to Salesforce Data Cloud, you initialize a code extension project, write entrypoint logic, validate schemas, and deploy using the required payload directory structure.

What do I need to set up before building Data Cloud code extensions?▼

Building Data Cloud code extensions requires Salesforce CLI plugin setup, Python 3.11, and Docker to handle local execution, schema validation, and deployment for batch and real-time workflows.

How do I validate DLO and DMO schemas for a Data Cloud code extension?▼

You validate DLO and DMO schemas by scanning permissions and running schema validation checks locally against an authenticated org to confirm compatibility before deploying the Data Cloud payload.

Why does my Data Cloud code extension deployment fail during payload validation?▼

Data Cloud code extension deployment fails when the payload directory structure and versioning requirements are incorrect, preventing the Data Cloud package from passing validation checks.

Can I test Salesforce Data Cloud Python entrypoints locally before deployment?▼

You can test Salesforce Data Cloud Python entrypoints locally by running the transformation against an authenticated org, allowing you to verify logic and scan permissions before deploying.

Related Skills

Explore More Software Engineering Skills→
bhanu91221bhanu91221
2

salesforce-dx-project

Configure Salesforce DX projects by managing sfdx-project.json and package directories.

Community
Intermediate
forcedotcomforcedotcom
803

getting-datacloud-schema

Retrieve Salesforce Data Cloud DLO and DMO schema metadata via SSOT REST APIs.

Official
Intermediate
algusaemalgusaem

senior-frontend

Automate React/Next.js component generation, bundle analysis, and scaffolding with Python scripts.

Community
Basic
chicanoandres702chicanoandres702

data-engineering-data-pipeline

Design and orchestrate scalable batch and streaming data pipelines.

Community
Advanced