sf-datacloud-segment

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Skill file

Preview skill file
---
name: sf-datacloud-segment
description: >
  Salesforce Data Cloud Segment phase.
  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 sf-datacloud-harmonize),
  activation work (use sf-datacloud-act), query/search-index work (use sf-datacloud-retrieve),
  or STDM/session tracing (use sf-ai-agentforce-observability).
license: MIT
compatibility: "Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org"
metadata:
  version: "1.0.0"
  author: "Gnanasekaran Thoppae"
  phase: "Segment"
---

# 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
```bash
node ~/.claude/skills/sf-datacloud/scripts/diagnose-org.mjs -o <org> --phase segment --json
```

### 2. Inspect current state
```bash
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
```bash
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
```bash
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
```bash
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

```text
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)

Source

Creator's repository · jaganpro/sf-skills

View on GitHub

License: MIT

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What this skill can do
Reads your filesConnects to the internetRuns code on your machine
Checked by 3 independent security firms
Does it try to trick the AI?Not yet checkedPending · Gen Agent Trust Hub
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Does it have known bugs?Not yet checkedPending · Snyk