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data360-code-extension-generate

Automate development, testing, and deployment of Python code extensions for Salesforce Data Cloud.

Updated Jul 2, 2026
Search Tags:#automation#Python#Salesforce#code extension#Data Cloud
One-click install
npx skills add https://github.com/padjei/SF_Agents --skill data360-code-extension-generate-padjei
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data360-code-extension-generate
Source: https://github.com/padjei/SF_Agents/tree/main/.claude/skills/data360-code-extension-generate
Command: npx skills add https://github.com/padjei/SF_Agents --skill data360-code-extension-generate-padjei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @salesforce/plugin-data-codeextension, salesforce-data-customcode, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the development, testing, and deployment of custom Python code extensions for Salesforce Data Cloud, streamlining the process of creating and deploying Python transformations.

Core Features & Use Cases

  • Project Initialization: Create new code extension projects with scaffolding.
  • Development: Write Python transformation logic and test locally.
  • Deployment: Package and deploy to Data Cloud for execution.
  • Use Case: For a user looking to automate data transformations in Salesforce Data Cloud, this Skill can help them develop, test, and deploy Python code extensions efficiently.

Quick Start

Use the data360-code-extension-generate skill to initialize a new code extension project for transforming employee data.

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 automate Python code extension development for Salesforce Data Cloud?▼

This Skill automates Python code extension development for Salesforce Data Cloud by scaffolding projects, writing transformation logic, executing local tests, and packaging deployments.

What do I need to deploy custom Python transformations to Data Cloud?▼

Deploying custom Python transformations to Data Cloud requires the SF CLI plugin, Python SDK, and Docker to package and execute the code extensions.

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

Yes, you can test Salesforce Data Cloud Python code extensions locally before deployment to validate transformation logic and scan for required permissions.

How do I initialize a Data Cloud code extension project for transforming data?▼

Initializing a Data Cloud code extension project generates the required Python scaffolding, creating the foundational structure needed to start writing data transformation logic immediately.

Does this automation Skill handle permission scanning for Data Cloud code extensions?▼

Yes, this automation Skill handles permission scanning for Data Cloud code extensions, verifying custom Python logic for required access permissions before deployment.

What is the best way to package and deploy Python transformations to Salesforce Data Cloud?▼

The best way to package and deploy Python transformations to Salesforce Data Cloud is using an automation workflow that handles local testing and Docker packaging for seamless execution.

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