harmonizing-datacloud: Data Cloud Harmonize Phase

When This Skill Owns the Task

harmonizing-datacloud

• sf data360 dmo *

• sf data360 identity-resolution *

• sf data360 data-graph *

• sf data360 profile *

• sf data360 universal-id lookup

• still ingesting streams or building DLOs → preparing-datacloud
• working on segment logic or calculated insights → segmenting-datacloud
• running SQL, describe, or search-index workflows → retrieving-datacloud

Required Context to Gather First

• source DLO and target DMO names
• whether the task is schema creation, mapping, IR, or graph-related
• target org alias
• whether a ruleset already exists
• the user’s desired unified entity model

Core Operating Rules

• Inspect DMO schema before creating mappings.
• Run the shared readiness classifier before mutating harmonization assets:

  node ~/.claude/skills/orchestrating-datacloud/scripts/diagnose-org.mjs -o <org> --phase harmonize --json

  .
• Prefer

  dmo list --all

  when browsing the catalog, but use first-page

  dmo list

  for fast readiness checks.
• Use

  query describe

  or

  dmo get --json

  instead of inventing unsupported describe flows.
• Treat identity resolution runs as asynchronous and verify results after execution.
• Keep unified-profile work separate from STDM/session tracing work.

Recommended Workflow

1. Classify readiness for harmonize work

node ~/.claude/skills/orchestrating-datacloud/scripts/diagnose-org.mjs -o <org> --phase harmonize --json

2. Inspect the catalog

sf data360 dmo list --all -o <org> 2>/dev/null
sf data360 identity-resolution list -o <org> 2>/dev/null

3. Inspect schema before mapping

sf data360 query describe -o <org> --table ssot__Individual__dlm 2>/dev/null
sf data360 dmo get -o <org> --name ssot__Individual__dlm --json 2>/dev/null

4. Create or review mappings intentionally

sf data360 dmo mapping-list -o <org> --source Contact_Home__dll --target ssot__Individual__dlm 2>/dev/null
sf data360 dmo map-to-canonical -o <org> --dlo Contact_Home__dll --dmo ssot__Individual__dlm --dry-run 2>/dev/null

5. Run IR only after mappings are trustworthy

sf data360 identity-resolution create -o <org> -f ir-ruleset.json 2>/dev/null
sf data360 identity-resolution run -o <org> --name Main 2>/dev/null

High-Signal Gotchas

• dmo list

  should usually use

  --all

  .
• Use

  query describe

  or

  dmo get --json

  ; there is no

  dmo describe

  command.
• Mapping and related commands can be sensitive to API-version differences.
• Unified DMO names are ruleset-specific rather than generic.
• Data graph definitions are sensitive to field selection and relationship shape.
• If

  dmo list

  works but

  identity-resolution list

  is gated, treat that as a phase-specific gap rather than a full Data Cloud outage.

Output Format

Harmonize task: <dmo / mapping / relationship / ir / data-graph>
Source/target: <dlo → dmo or ruleset/graph names>
Target org: <alias>
Artifacts: <json files / commands>
Verification: <passed / partial / blocked>
Next step: <segment / retrieve / follow-up>

References

• README.md
• ../orchestrating-datacloud/assets/definitions/dmo.template.json
• ../orchestrating-datacloud/assets/definitions/mapping.template.json
• ../orchestrating-datacloud/assets/definitions/relationship.template.json
• ../orchestrating-datacloud/assets/definitions/identity-resolution.template.json
• ../orchestrating-datacloud/assets/definitions/data-graph.template.json
• ../orchestrating-datacloud/references/feature-readiness.md