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preparing-datacloud

Create and inspect Salesforce Data Cloud streams, DLOs, transforms, and Document AI configurations.

803|289|Updated Nov 7, 2025
Search Tags:#transforms#data streams#data cloud#dlo#sf data360#document ai#unstructured ingestion
One-click install
npx skills add https://github.com/forcedotcom/sf-skills --skill preparing-datacloud
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: preparing-datacloud
Source: https://github.com/forcedotcom/sf-skills/tree/main/skills/preparing-datacloud
Command: npx skills add https://github.com/forcedotcom/sf-skills --skill preparing-datacloud

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill removes friction when you need to get Salesforce Data Cloud ingestion working by creating, inspecting, and preparing streams, Data Lake Objects (DLOs), transforms, and Document AI configurations for successful downstream use.

Core Features & Use Cases

  • Ingestion asset orchestration: Manage Data Cloud data streams and DLOs via the Data Cloud CLI workflow (including creation, inspection, and reruns).
  • Transform and Document AI preparation: Set up and iterate on transforms and Document AI ingestion inputs so data is ready for later harmonization and querying.
  • Unstructured ingestion workflows: Drive rescans/re-ingestion for unstructured document sources (e.g., SharePoint-style sources) and validate that ingestion assets are healthy before moving on.
  • Category-driven stream decisions: Help classify datasets as Profile, Engagement, or Other to ensure the right ingestion/stream setup.

Quick Start

Ask the agent to prepare Data Cloud ingestion by creating a Data Cloud stream and DLO for Contact, then run the stream to process newly available source data in my org alias.

Frequently Asked Questions about preparing-datacloud

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

FAQPage Schema
How do I create a Data Cloud data stream and DLO for ingestion?▼

You create and manage Data Cloud data streams and Data Lake Objects (DLOs) by using the sf data360 CLI workflow to build ingestion assets, preparing them for successful downstream processing and harmonization.

How do I re-scan unstructured document sources in Salesforce Data Cloud?▼

You re-scan unstructured document sources in Data Cloud by driving rescans and re-ingestion workflows using the ingestion asset orchestration process to validate and process newly available source data.

Do I need an external CLI plugin to prepare Data Cloud transforms?▼

Yes, preparing Data Cloud transforms and ingestion assets requires an external sf data360 CLI plugin and a Data Cloud-enabled org to execute the necessary creation and inspection workflows.

What is the best way to classify datasets for Data Cloud stream setup?▼

The best way to classify datasets for Data Cloud stream setup is to categorize them as Profile, Engagement, or Other, ensuring the correct ingestion and stream configuration for downstream use.

How do I set up Document AI configurations for unstructured ingestion in Data Cloud?▼

You set up Document AI configurations for unstructured ingestion in Data Cloud by preparing and iterating on the ingestion inputs, ensuring the extracted data is ready for later harmonization and querying.

Why does preparing Data Cloud ingestion delegate connection setup to another skill?▼

Preparing Data Cloud ingestion delegates connection setup to another skill because it specifically handles ingestion asset orchestration like streams and DLOs, while following orchestrating-datacloud phase readiness checks.

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