sf-datacloud-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 sf-datacloud-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 DMOs, mappings, or identity resolution → [sf-datacloud-harmonize](../sf-datacloud-harmonize/SKILL.md)
• activating a segment downstream → [sf-datacloud-act](../sf-datacloud-act/SKILL.md)
• writing read-only SQL or search-index queries → [sf-datacloud-retrieve](../sf-datacloud-retrieve/SKILL.md)

Required Context to Gather First

Ask for or infer:

• target org alias
• unified DMO 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 before mutating audience assets: node ~/.claude/skills/sf-datacloud/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 ~/.claude/skills/sf-datacloud/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

• [README.md](README.md)
• [../sf-datacloud/assets/definitions/calculated-insight.template.json](../sf-datacloud/assets/definitions/calculated-insight.template.json)
• [../sf-datacloud/assets/definitions/segment.template.json](../sf-datacloud/assets/definitions/segment.template.json)
• [../sf-datacloud/references/feature-readiness.md](../sf-datacloud/references/feature-readiness.md)
• [../sf-datacloud/UPSTREAM.md](../sf-datacloud/UPSTREAM.md)