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data360-segment

Create and troubleshoot Salesforce Data Cloud segments and calculated insights.

Updated Jun 17, 2026
Search Tags:#salesforce#segments#audience management#data cloud#calculated insights#member counts#sql troubleshooting
One-click install
npx skills add https://github.com/angryracoon/ARIEF-VISEO-DEV-ORG --skill data360-segment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data360-segment
Source: https://github.com/angryracoon/ARIEF-VISEO-DEV-ORG/tree/main/.agents/skills/data360-segment
Command: npx skills add https://github.com/angryracoon/ARIEF-VISEO-DEV-ORG --skill data360-segment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you create, publish, inspect, and troubleshoot Salesforce Data Cloud segments and calculated insights without guessing which workflow to use.

Core Features & Use Cases

  • Segment creation and publishing for audience workflows.
  • Calculated insight creation, execution, and verification.
  • Member count checks and SQL troubleshooting when a segment is empty or unexpectedly large.
  • Use case: a marketer needs to launch a high-value customer audience, confirm membership counts, and diagnose why the segment query returns zero results.

Quick Start

Ask me to create, publish, inspect, or troubleshoot a Salesforce Data Cloud segment or calculated insight for your target org.

Frequently Asked Questions about data360-segment

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

FAQPage Schema
How do I troubleshoot a Salesforce Data Cloud segment that returns zero member counts?▼

To troubleshoot a Data Cloud segment returning zero member counts, you run SQL diagnosis and readiness checks to verify calculated insights and identify query logic errors. This process inspects segment workflows to pinpoint why the audience is empty.

What is the best way to publish Data Cloud segments for an audience workflow?▼

Publishing Data Cloud segments requires running readiness checks and managing segment assets via an external CLI plugin. This ensures your audience workflows are correctly activated and verified within a Data Cloud-enabled org.

How do I create and verify calculated insights in Salesforce Data Cloud?▼

Creating calculated insights in Salesforce Data Cloud involves defining the query logic and executing verification checks. You confirm results by checking member counts and diagnosing the SQL output to ensure accurate segment membership.

Do I need an external CLI plugin to manage Data Cloud segment assets?▼

Yes, you need the external sf data360 CLI plugin and a Data Cloud-enabled org to manage segment assets. This setup allows you to run readiness checks, publish audiences, and verify calculated insight results.

Why does my Data Cloud segment query return an unexpectedly large audience?▼

A Data Cloud segment query returning an unexpectedly large audience often indicates overly broad filter logic in your calculated insights. SQL troubleshooting helps diagnose the query conditions and refine the segment boundaries for accurate counts.

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