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Agent skill

Sf Datacloud Harmonize

by Jaganpro in Jaganpro/sf-skills

Salesforce Data Cloud Harmonize phase. An agent skill from Jaganpro/sf-skills.

MITAuto-check passedSales & Support

Install Sf Datacloud Harmonize

skills CLI
$ npx skills add Jaganpro/sf-skills --skill sf-datacloud-harmonize -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Jaganpro/sf-skills sf-datacloud-harmonize --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Jaganpro/sf-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sf-datacloud-harmonize .claude/skills/sf-datacloud-harmonize && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sf-datacloud-harmonize
GitHub stars
424
Token cost
~1.2k tokens
SKILL.md length
313 words
Files
4
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

Salesforce Data Cloud Harmonize phase. An agent skill from Jaganpro/sf-skills.

  • Works in 5 steps: Classify readiness for harmonize work → Inspect the catalog → Inspect schema before mapping → …
  • : user works with DMOs
  • SKILL.md covers When This Skill Owns the Task, Required Context to Gather First, Core Operating Rules and Recommended Workflow, plus 3 more sections
  • Calls sf and node

What it does

Sf Datacloud Harmonize is an agent skill from Jaganpro/sf-skills. Salesforce Data Cloud Harmonize phase. TRIGGER when: user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. DO NOT TRIGGER when: the task is only about streams/DLOs (use sf-datacloud-prepare), segments/insights (use sf-datacloud-segment), retrieval/search (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `CREDITS.md` and `README.md`). Compatibility notes: Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org

It sits in Sales & Support, covering CRM management and Observability. It works with Salesforce. The repository describes itself as: [ARCHIVED — migrated to forcedotcom/afv-library] Salesforce Skills for Agentic Coding Tools — Apex, Flow, LWC, SOQL, Agentforce, Data Cloud, OmniStudio. Read-only archive; active… The licence is MIT.

When your agent uses it

  • : user works with DMOs
  • Identity resolution
  • Unified profiles
  • : the task is only about streams/DLOs (use sf-datacloud-prepare)

Example prompts

  • “/sf-datacloud-harmonize”

Requirements

  • Compatibility (from SKILL.md): Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Classify readiness for harmonize work
  2. Inspect the catalog
  3. Inspect schema before mapping
  4. Create or review mappings intentionally
  5. Run IR only after mappings are trustworthy

What it can do on your machine

Read from SKILL.md and the folder at commit 53c9956. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • sf
    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org

    From compatibility in the SKILL.md frontmatter.

Context cost

Sf Datacloud Harmonize loads about 1.2k tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 313 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Jaganpro/sf-skills at commit 53c9956, republished under its MIT licence (© Jaganpro). 313 words, ~1,244 tokens.

Download SKILL.mdSave it as .claude/skills/sf-datacloud-harmonize/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
sf-datacloud-harmonize
description
Salesforce Data Cloud Harmonize phase. TRIGGER when: user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. DO NOT TRIGGER when: the task is only about streams/DLOs (use sf-datacloud-prepare), segments/insights (use sf-datacloud-segment), retrieval/search (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).
compatibility
Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org
license
MIT
metadata.version
1.0.0
metadata.author
Gnanasekaran Thoppae
metadata.phase
Harmonize

sf-datacloud-harmonize: 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 sf-datacloud-harmonize 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:

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 ~/.claude/skills/sf-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.
1. Classify readiness for harmonize work
bash
node ~/.claude/skills/sf-datacloud/scripts/diagnose-org.mjs -o <org> --phase harmonize --json
2. Inspect the catalog
bash
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
bash
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
bash
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
bash
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

text
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

© Jaganpro, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in skills/sf-datacloud-harmonize of Jaganpro/sf-skills.

  • SKILL.md
  • CREDITS.md
  • LICENSE
  • README.md

Open the folder on GitHubat commit 53c9956

Compare with similar skills

Sf Datacloud Harmonize next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sf Datacloud Harmonize compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sf Datacloud Harmonize this skillJaganpro/sf-skills424—~1.2kAutomated safety check: PassMIT
Salesforce Observabilityjeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Consumer Goods Accruals Datakit Deployforcedotcom/sf-skills1.1k—~4.8kAutomated safety check: PassApache-2.0
Salesforce Incident Runbookjeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Platform Trust Archive Manageforcedotcom/sf-skills1.1k—~3kAutomated safety check: PassApache-2.0
Service Itsm Incident Mgmt Configureforcedotcom/sf-skills1.1k—~3.7kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Sf Datacloud Harmonize

What does Sf Datacloud Harmonize do?

Salesforce Data Cloud Harmonize phase. An agent skill from Jaganpro/sf-skills. Sf Datacloud Harmonize is an agent skill from Jaganpro/sf-skills. Salesforce Data Cloud Harmonize phase.

When should I use Sf Datacloud Harmonize?

Sf Datacloud Harmonize fits situations like: : user works with DMOs; identity resolution; unified profiles; : the task is only about streams/DLOs (use sf-datacloud-prepare).

How do I install Sf Datacloud Harmonize in Claude Code?

Run `npx skills add Jaganpro/sf-skills --skill sf-datacloud-harmonize -a claude-code`. Or copy the skill folder (skills/sf-datacloud-harmonize in Jaganpro/sf-skills) into .claude/skills/sf-datacloud-harmonize in your project. Claude Code loads it when a task matches its description.

How do I install Sf Datacloud Harmonize in Codex?

Run `npx skills add Jaganpro/sf-skills --skill sf-datacloud-harmonize -a codex`. Or copy the skill folder (skills/sf-datacloud-harmonize in Jaganpro/sf-skills) into .agents/skills/sf-datacloud-harmonize in your project. Codex loads it when a task matches its description.

Can I use Sf Datacloud Harmonize in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Jaganpro/sf-skills --skill sf-datacloud-harmonize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sf-datacloud-harmonize, .gemini/skills/sf-datacloud-harmonize, .github/skills/sf-datacloud-harmonize and .opencode/skills/sf-datacloud-harmonize in your project.

What does Sf Datacloud Harmonize need to run?

Going by SKILL.md and its folder, Sf Datacloud Harmonize needs the command-line tools its instructions call (sf and node). Compatibility (from SKILL.md): Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org.

Does Sf Datacloud Harmonize access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sf Datacloud Harmonize safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sf Datacloud Harmonize use?

Sf Datacloud Harmonize is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sf Datacloud Harmonize use?

About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sf Datacloud Harmonize?

Skills that share tags, products or a category with Sf Datacloud Harmonize: Salesforce Observability (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Consumer Goods Accruals Datakit Deploy (forcedotcom/sf-skills, 1.1k stars), Salesforce Incident Runbook (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Platform Trust Archive Manage (forcedotcom/sf-skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sf Datacloud Harmonize?

Jaganpro (a GitHub user) maintains it in Jaganpro/sf-skills, which has 424 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on April 27, 2026.

Source: Jaganpro/sf-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.