This handles the schema harmonization and unification layer of Salesforce Data Cloud: building Data Model Objects, mapping fields from Data Lake Objects to canonical models, configuring identity resolution rulesets, and defining data graphs for unified profiles. It's the middle phase between ingestion and segmentation. The skill knows to run readiness checks before mutations, inspect schemas before creating mappings, and treat identity resolution as async. One thing worth noting is it explicitly routes you elsewhere if you're still working on streams or already building segments, which keeps the workflow boundaries clean. Built around the community sf data360 CLI plugin, so you'll need that installed and a Data Cloud enabled org.
npx skills add https://github.com/jaganpro/sf-skills --skill sf-datacloud-harmonize