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data360-orchestrate

Orchestrate Salesforce Data Cloud workflows across multiple phases using the sf data360 CLI.

Updated Jul 2, 2026
Search Tags:#orchestration#data management#data cloud#data workflows#sf data360
One-click install
npx skills add https://github.com/padjei/SF_Agents --skill data360-orchestrate-padjei
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data360-orchestrate
Source: https://github.com/padjei/SF_Agents/tree/main/.claude/skills/data360-orchestrate
Command: npx skills add https://github.com/padjei/SF_Agents --skill data360-orchestrate-padjei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sf data360, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill serves as a comprehensive orchestrator for Salesforce Data Cloud workflows, guiding users through multi-step processes, troubleshooting, and management of data spaces and data kits.

Core Features & Use Cases

  • Cross-Phase Workflow Management: Facilitates workflows that span multiple Data Cloud phases, from connection and ingestion to harmonization, segmentation, and activation.
  • Orchestrator for Data Cloud Skills: Acts as a hub for other Data Cloud-specific skills, providing a structured approach to managing complex data workflows.
  • Readiness Classification: Diagnoses org readiness by phase before performing modifications, ensuring that the environment is suitable for the intended work.
  • Read-only Inspection: Offers a way to inspect the current state of Data Cloud without making changes, suitable for discovery and understanding the existing setup.

Quick Start

Run the data360-orchestrate skill to verify the runtime and diagnose the org readiness for Data Cloud workflows.

Frequently Asked Questions about data360-orchestrate

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

FAQPage Schema
How do I orchestrate Salesforce Data Cloud workflows across multiple phases?▼

You orchestrate Data Cloud workflows by using a centralized hub to coordinate cross-phase tasks spanning connection, ingestion, harmonization, segmentation, and activation. It integrates directly with the sf data360 CLI to manage complex data workflows.

Can I inspect my Salesforce Data Cloud setup without making changes?▼

Yes, you can inspect your Salesforce Data Cloud setup without making changes. The read-only inspection capability allows you to safely discover and understand the existing state of your data spaces and data kits before modifying anything.

What do I need to manage data workflows with Salesforce Data Cloud?▼

To manage Salesforce Data Cloud workflows, you need the sf data360 CLI installed and a Data Cloud-enabled org. These prerequisites allow the orchestrator to integrate properly and manage cross-phase data workflows effectively.

How do I check if my org is ready for Data Cloud workflow modifications?▼

You check org readiness by running a diagnostic process that classifies your environment by phase before performing modifications. This ensures your Salesforce Data Cloud environment is fully suitable for the intended cross-phase data workflow tasks.

What is the best way to coordinate complex data workflows in Salesforce Data Cloud?▼

The best way to coordinate complex Salesforce Data Cloud workflows is using a structured orchestrator that acts as a hub for Data Cloud-specific skills. It guides you through multi-step processes, troubleshooting, and management of data spaces and data kits.

Why orchestrate data kits and data spaces across Data Cloud phases?▼

Orchestrating data kits and data spaces across Data Cloud phases is necessary when workflows span multiple steps from ingestion to activation. It ensures structured management, cross-phase task coordination, and proper troubleshooting for complex data workflows.

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