data360-prepare

Prepare Salesforce Data Cloud ingestion assets for raw source data.

Updated Jun 17, 2026
One-click install
npx skills add https://github.com/angryracoon/ARIEF-VISEO-DEV-ORG --skill data360-prepare
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data360-prepare
Source: https://github.com/angryracoon/ARIEF-VISEO-DEV-ORG/tree/main/.agents/skills/data360-prepare
Command: npx skills add https://github.com/angryracoon/ARIEF-VISEO-DEV-ORG --skill data360-prepare

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you turn raw sources into ready-to-use Salesforce Data Cloud ingestion assets, reducing uncertainty around streams, DLOs, transforms, and document ingestion setup.

Core Features & Use Cases

  • Data stream creation and inspection: Create, list, get, and run Data Cloud streams from CRM objects or custom sources.
  • DLO and transform workflows: Inspect downstream lake objects, shape ingested data, and prepare it for later harmonization.
  • Document AI and unstructured ingestion: Re-scan file-based sources, handle SharePoint-style setups, and decide when UI setup is required.
  • Ingestion API guidance: Support connector setup, schema upload, and record submission for external systems sending data into Data Cloud.

Quick Start

Ask for help preparing a Salesforce Data Cloud source by providing the org alias, source type, desired stream outcome, and whether you need stream, DLO, transform, or Document AI guidance.

Frequently Asked Questions about data360-prepare

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

FAQPage Schema
How do I prepare Salesforce Data Cloud ingestion assets from raw source data?

To prepare Salesforce Data Cloud ingestion assets, you create data streams from CRM objects or custom sources, inspect downstream lake objects, shape ingested data through transforms, and configure document ingestion or Ingestion API workflows.

What do I need to set up Data Cloud data streams and DLOs?

Setting up Data Cloud data streams and DLOs requires an external data360 CLI plugin, Data Cloud org access, and readiness validation. You define the org alias, source type, and desired stream outcome to prepare these ingestion assets correctly.

Can I use Document AI to re-scan file-based sources for Data Cloud ingestion?

Yes, Document AI supports re-scanning file-based sources for Data Cloud ingestion. It handles unstructured data and SharePoint-style setups, evaluating when manual UI setup is required for proper document ingestion.

How do I send data into Salesforce Data Cloud using the Ingestion API?

Sending data into Salesforce Data Cloud using the Ingestion API involves setting up connectors, uploading schemas, and submitting records. This workflow supports external systems sending data directly into Data Cloud.

Does preparing Data Cloud transforms require readiness validation before mutating assets?

Yes, preparing Data Cloud transforms requires readiness validation before mutating prepare-phase assets. This ensures your data streams and DLOs are correctly configured before applying any changes to downstream lake objects.