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Harmonizing Datacloud

  • 2k installs
  • 763 repo stars
  • Updated July 24, 2026
  • forcedotcom/sf-skills

harmonizing-datacloud is an agent skill that Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationships, identity r.

About

harmonizing datacloud Data Cloud Harmonize Phase Use this skill when the user needs schema harmonization and unification work DMOs field mappings relationships identity resolution unified profiles data graphs or universal ID lookup Use harmonizing datacloud when the work involves sf data360 dmo sf data360 identity resolution sf data360 data graph sf data360 profile sf data360 universal id lookup Delegate elsewhere when the user is still ingesting streams or building DLOs preparing datacloud preparing datacloud SKILL md working on segment logic or calculated insights segmenting datacloud segmenting datacloud SKILL md running SQL describe or search index workflows retrieving datacloud retrieving datacloud SKILL md Ask for or infer 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

  • description: "Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationshi
  • compatibility: "Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org"
  • Use this skill when the user needs **schema harmonization and unification work**: DMOs, field mappings, relationships, i
  • Follow harmonizing-datacloud SKILL.md steps and documented constraints.
  • Follow harmonizing-datacloud SKILL.md steps and documented constraints.

Harmonizing Datacloud by the numbers

  • 2,009 all-time installs (skills.sh)
  • +6 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #580 of 16,659 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

harmonizing-datacloud capabilities & compatibility

Capabilities
description: "salesforce data cloud harmonize ph · compatibility: "requires an external community s · use this skill when the user needs **schema harm · follow harmonizing datacloud skill.md steps and
Use cases
orchestration
From the docs

What harmonizing-datacloud says it does

description: "Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. TRIGGE
SKILL.md
compatibility: "Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org"
SKILL.md
Use this skill when the user needs **schema harmonization and unification work**: DMOs, field mappings, relationships, identity resolution, unified profiles, data graphs, or universal ID lookup.
SKILL.md
npx skills add https://github.com/forcedotcom/sf-skills --skill harmonizing-datacloud

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Listed on Skillselion
Installs2k
repo stars763
Security audit3 / 3 scanners passed
Last updatedJuly 24, 2026
Repositoryforcedotcom/sf-skills

When should an agent use harmonizing-datacloud and what problem does it solve?

Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. TRIGGER when: user w

Who is it for?

Developers invoking harmonizing-datacloud as documented in the skill source.

Skip if: Skip when requirements fall outside harmonizing-datacloud documented scope.

When should I use this skill?

Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. TRIGGER when: user w

What you get

Outputs aligned with the harmonizing-datacloud SKILL.md workflow and stated deliverables.

  • DMO field mappings
  • Identity resolution rulesets
  • Unified profile configuration

By the numbers

  • Part of a 4-skill Salesforce Data Cloud lifecycle family: ingestion, harmonization, segmentation, and retrieval

Files

SKILL.mdMarkdownGitHub ↗

harmonizing-datacloud: Data Cloud Harmonize Phase

Use this skill when the user needs schema harmonization and unification work: DMOs, field mappings, relationships, identity resolution, unified profiles, data graphs, or universal ID lookup.

When This Skill Owns the Task

Use harmonizing-datacloud when the work involves:

  • sf data360 dmo *
  • sf data360 identity-resolution *
  • sf data360 data-graph *
  • sf data360 profile *
  • sf data360 universal-id lookup

Delegate elsewhere when the user is:

  • 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

Ask for or infer:

  • 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 ../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 ../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

Related skills

Forks & variants (1)

Harmonizing Datacloud has 1 known copy in the catalog totaling 520 installs. They canonicalize to this original listing.

FAQ

What is harmonizing-datacloud?

Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs.

When should I use harmonizing-datacloud?

Salesforce Data Cloud Harmonize phase. Use this skill when the user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs.

Is harmonizing-datacloud safe to install?

Review the Security Audits panel on this page before production use.

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