sf-datacloud

Orchestrates multi-phase Salesforce Data Cloud workflows using the sf data360 CLI runtime.

1|Updated May 7, 2026
One-click install
npx skills add https://github.com/amanpraaj/sf-skill-hub --skill sf-datacloud-amanpraaj
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sf-datacloud
Source: https://github.com/amanpraaj/sf-skill-hub/tree/main/skills/salesforce/sf-datacloud
Command: npx skills add https://github.com/amanpraaj/sf-skill-hub --skill sf-datacloud-amanpraaj

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve? Setting up or troubleshooting Salesforce Data Cloud pipelines spans many phases—connections, ingestion, harmonization, segmentation, activation, and retrieval—and it is hard to know which command family or readiness check applies. This Skill routes cross-phase Data Cloud work, classifies org readiness before mutation, and delegates to the right phase-specific skill. ## Core Features & Use Cases - Cross-Phase Orchestration: Coordinates connect, prepare, harmonize, segment, act, and retrieve workflows through the external community sf data360 CLI plugin, delegating to specialized sf-datacloud-* skills when a task is localized. - Readiness Classification: The diagnose-org.mjs script distinguishes feature-gated modules, empty-but-enabled modules, query-plane issues, and runtime/auth failures before any mutation. - Deterministic Templates & Scripts: Ships JSON definition templates for data streams, DMOs, mappings, identity resolution, segments, activations, and search indexes, plus bootstrap and verification scripts for the plugin runtime. - Use Case: When unified profile counts stop growing, run the readiness classifier to determine whether the root cause sits in mappings, identity resolution, or segment SQL, then hand off to the matching phase skill. ## Quick Start Ask the agent to diagnose Data Cloud readiness for your org alias and recommend which phase-specific skill to use for your pipeline task.

Frequently Asked Questions about sf-datacloud

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a Salesforce Data Cloud pipeline from the CLI?▼

Use the community sf data360 plugin with Salesforce CLI to run connection, data stream, DMO, identity resolution, segment, and activation commands. This orchestrator skill sequences those phases and provides JSON definition templates for repeatable setup.

How do I troubleshoot Data Cloud identity resolution or unified profiles?▼

Run the diagnose-org.mjs classifier against your org alias to check whether identity resolution is feature-gated, empty, or failing. It distinguishes query-plane issues from provisioning gaps and points you to the harmonize phase skill for mapping and ruleset work.

Does sf data360 doctor check all Data Cloud features?▼

No. The doctor command only checks the search-index endpoint, so it can fail on partially provisioned orgs while other read-only commands still work. Treat it as advisory and confirm readiness with data-space, DMO, and segment list probes.

What are the requirements for using the sf data360 plugin?▼

You need Node.js 18+, yarn, Salesforce CLI, git, and an authenticated Data Cloud-enabled org. The bootstrap-plugin.sh script clones, compiles, and links the community plugin into your local sf installation.

When should I not use the Data Cloud orchestrator skill?▼

Avoid it for single-phase tasks, which belong in the specialized sf-datacloud-* skills, and for unrelated work like CRM SOQL, Apex, or STDM session tracing. Those route to sf-soql, sf-apex, or sf-ai-agentforce-observability instead.