Harmonizing Datacloud

This handles the harmonization layer of Salesforce Data Cloud: mapping source data lake objects to data model objects, setting up identity resolution rulesets, building unified profiles, and managing data graphs. It wraps the sf data360 CLI and knows when to inspect schema before creating mappings, when to delegate back to preparing-datacloud for ingestion work, and when to hand off to segmenting-datacloud for audience builds. The workflow is cautious: it runs a readiness classifier before mutations, uses query describe to validate DMO structure, and treats identity resolution runs as async. If you're stitching customer records together or building a 360-degree view, this is the skill that does the plumbing between raw streams and usable unified entities.