Preparing Datacloud

forcedotcom/sf-skills

This handles the ingestion layer of Salesforce Data Cloud: creating data streams, managing Data Lake Objects, configuring transforms, and setting up Document AI for unstructured content. You'll reach for it when moving data from connectors into queryable lake storage, not when setting up the connectors themselves or mapping to Data Model Objects later. The skill wraps the sf data360 CLI and includes practical guardrails like distinguishing Profile from Engagement streams, knowing when stream-level refresh differs from connection-level reruns, and understanding that some unstructured pipelines still need UI setup to provision the full asset chain. It also includes a working Ingestion API example with the staged auth flow external systems actually need.

skills.sh installs

2.5K

GitHub stars

1.2K

last updated

Aug 21, 2026

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