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/data360-segment

Salesforce Data Cloud Segment phase. Use this skill when the user creates or publishes segments, manages calculated insights, or troubleshoots audience SQL in Data Cloud. TRIGGER when: user creates or publishes segments, manages calculated insights, inspects segment counts or

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sf-skills
803161 skills6 agents10 commands3 MCP
Install
$ npx -y skills add forcedotcom/sf-skills --skill data360-segment --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/data360-segment

Context preview

The summary Claude sees to decide when to auto-load this skill.

Salesforce Data Cloud Segment phase. Use this skill when the user creates or publishes segments, manages calculated insights, or troubleshoots audience SQL in Data Cloud. TRIGGER when: user creates or publishes segments, manages calculated insights, inspects segment counts or

SKILL.md

data360-segment.SKILL.md
name: data360-segment
description: "Salesforce Data Cloud Segment phase. Use this skill when the user creates or publishes segments, manages calculated insights, or troubleshoots audience SQL in Data Cloud. TRIGGER when: user creates or publishes segments, manages calculated insights, inspects segment counts or membership, or troubleshoots audience SQL in Data Cloud. DO NOT TRIGGER when: the task is DMO/mapping/identity-resolution work (use data360-harmonize), activation work (use data360-activate), query/search-index work (use data360-query), or Standard Data Model (STDM)/session tracing (use agentforce-observe)."
compatibility: "Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org"
metadata:
  cliTools:
    - tool: ["node"]
      semver: ">=18.0.0"
    - tool: ["sf"]
      semver: ">=2.0.0"
  relatedSkills:
    - "agentforce-observe"
    - "data360-activate"
    - "data360-harmonize"
    - "data360-orchestrate"
    - "data360-query"
  version: "1.0"

data360-segment: Data Cloud Segment Phase

Use this skill when the user needs **audience and insight work**: segments, calculated insights, publish workflows, member counts, or troubleshooting Data Cloud segment SQL.

When This Skill Owns the Task

Use `data360-segment` when the work involves:

  • `sf data360 segment *`
  • `sf data360 calculated-insight *`
  • segment publish workflows
  • member counts and segment troubleshooting
  • calculated insight execution and verification

Delegate elsewhere when the user is:

  • still building Data Model Objects (DMOs), mappings, or identity resolution → [data360-harmonize](../data360-harmonize/SKILL.md)
  • activating a segment downstream → [data360-activate](../data360-activate/SKILL.md)
  • writing read-only SQL or search-index queries → [data360-query](../data360-query/SKILL.md)

---

Required Context to Gather First

Ask for or infer:

  • target org alias
  • unified DMO (Data Model Object) or base entity name
  • whether the user wants create, publish, inspect, or troubleshoot
  • whether the asset is a segment or calculated insight
  • expected success metric: member count, aggregate value, or publish status

---

Core Operating Rules

  • Treat Data Cloud segment SQL as distinct from CRM SOQL.
  • Run the shared readiness classifier from the `data360-orchestrate` skill before mutating audience assets: `node ../data360-orchestrate/scripts/diagnose-org.mjs -o <org> --phase segment --json`.
  • Prefer reusable JSON definitions for repeatable segment and CI creation.
  • Use `--api-version 64.0` when segment creation behavior is unstable on newer defaults.
  • Verify with counts or SQL after publish/run steps instead of assuming success.
  • Use SQL joins rather than `segment members` when readable member details are needed.

---

Recommended Workflow

1. Classify readiness for segment work

node ../data360-orchestrate/scripts/diagnose-org.mjs -o <org> --phase segment --json

2. Inspect current state

sf data360 segment list -o <org> 2>/dev/null
sf data360 calculated-insight list -o <org> 2>/dev/null

3. Create with reusable JSON definitions

sf data360 segment create -o <org> -f segment.json --api-version 64.0 2>/dev/null
sf data360 calculated-insight create -o <org> -f ci.json 2>/dev/null

4. Publish or run explicitly

sf data360 segment publish -o <org> --name My_Segment 2>/dev/null
sf data360 calculated-insight run -o <org> --name Lifetime_Value 2>/dev/null

5. Verify with counts or SQL

sf data360 segment count -o <org> --name My_Segment 2>/dev/null
sf data360 query sql -o <org> --sql 'SELECT COUNT(*) FROM "UnifiedssotIndividualMain__dlm"' 2>/dev/null

---

High-Signal Gotchas

  • Segment creation can require `--api-version 64.0`.
  • `segment members` returns opaque IDs; use SQL joins when human-readable member details are needed.
  • Segment SQL is not SOQL.
  • Calculated insight assets and segment SQL have different limitations.
  • Publish/run steps may kick off asynchronous work even when the command returns quickly.
  • An empty segment or calculated-insight list usually means the module is reachable but unconfigured, not unavailable.

---

Output Format

Segment task: <segment / calculated-insight>
Action: <create / publish / inspect / troubleshoot>
Target org: <alias>
Artifacts: <definition files / commands>
Verification: <member count / query result / publish state>
Next step: <act / retrieve / follow-up>

---

References

  • [../data360-orchestrate/assets/definitions/calculated-insight.template.json](../data360-orchestrate/assets/definitions/calculated-insight.template.json)
  • [../data360-orchestrate/assets/definitions/segment.template.json](../data360-orchestrate/assets/definitions/segment.template.json)
  • [../data360-orchestrate/references/feature-readiness.md](../data360-orchestrate/references/feature-readiness.md)
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