This handles the second phase of Salesforce Data Cloud work: mapping ingested data objects to Data Model Objects, setting up identity resolution rulesets, building unified profiles, and wiring up data graphs. It wraps the sf data360 CLI commands for DMO inspection, field mapping, relationship creation, and IR execution. The skill runs a shared readiness classifier before mutations and enforces the right sequence, because running identity resolution before your mappings are solid wastes time and makes debugging harder. Use it when you're past the ingestion phase and need to turn raw DLOs into unified customer profiles or entity graphs. It stays out of segmentation and retrieval work, which live in separate skills.
npx skills add https://github.com/forcedotcom/afv-library --skill harmonizing-datacloud