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Harmonizing Datacloud

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.

skills.sh installs
520
GitHub stars
705
last updated
Jul 14, 2026

Install

$ npx -y skills add forcedotcom/afv-library --skill harmonizing-datacloud --agent claude-code

Installs into .claude/skills of the current project.

Files

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.

Browse the repository on GitHub

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Details

Repository
github.com/forcedotcom/afv-library
First seen
Jun 3, 2026

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