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Sf Datacloud Act

  • 932 installs
  • 423 repo stars
  • Updated April 27, 2026
  • jaganpro/sf-skills

sf-datacloud-act is a Salesforce Data Cloud skill that triggers activation and downstream delivery workflows for developers integrating Data Cloud operations inside an AI coding agent.

About

sf-datacloud-act is part of the jaganpro/sf-skills sf-datacloud family, contributed in the sf-datacloud ecosystem with shared CREDITS and UPSTREAM documentation under MIT License (2024-2025). The skill enables developers to trigger activation and downstream delivery workflows inside Salesforce Data Cloud directly from an AI coding agent session. It fits teams wiring customer data platform pipelines where segment activation, data delivery, and orchestrated downstream actions must be invoked with correct Salesforce conventions. Developers reach for sf-datacloud-act when automating Data Cloud activation steps instead of manually clicking through setup wizards or writing ad hoc Apex and API calls without agent guidance.

  • Automates activation of calculated insights, segments, and data actions in Salesforce Data Cloud
  • Orchestrates downstream delivery to marketing clouds, activation targets, and external systems
  • Provides reusable agent commands for Data Cloud workflow execution
  • Part of the sf-datacloud-* family with shared upstream mapping

Sf Datacloud Act by the numbers

  • 932 all-time installs (skills.sh)
  • +4 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #423 of 4,346 Backend & APIs skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jaganpro/sf-skills --skill sf-datacloud-act

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Listed on Skillselion
Installs932
repo stars423
Security audit2 / 3 scanners passed
Last updatedApril 27, 2026
Repositoryjaganpro/sf-skills

How do you trigger Salesforce Data Cloud activation workflows?

Trigger activation and downstream delivery workflows inside Salesforce Data Cloud from within their AI coding agent.

Who is it for?

Salesforce developers automating Data Cloud activation and delivery from agent-assisted integration work.

Skip if: Teams without Salesforce Data Cloud or developers only building unrelated frontend apps outside the Salesforce platform.

When should I use this skill?

The user asks to activate Data Cloud segments, trigger downstream delivery, or automate sf-datacloud workflows from an agent.

What you get

Activated Data Cloud segments, downstream delivery workflow triggers, and agent-guided Salesforce integration steps.

  • Activation workflow triggers
  • Downstream delivery configuration
  • Agent-guided Data Cloud integration steps

Files

SKILL.mdMarkdownGitHub ↗

sf-datacloud-act: Data Cloud Act Phase

Use this skill when the user needs downstream delivery work: activations, activation targets, data actions, or pushing Data Cloud outputs into other systems.

When This Skill Owns the Task

Use sf-datacloud-act when the work involves:

  • sf data360 activation *
  • sf data360 activation-target *
  • sf data360 data-action *
  • sf data360 data-action-target *
  • verifying downstream delivery setup

Delegate elsewhere when the user is:

  • still building the audience or insight → sf-datacloud-segment
  • exploring query/search or search indexes → sf-datacloud-retrieve
  • setting up base connections or ingestion → sf-datacloud-connect, sf-datacloud-prepare

---

Required Context to Gather First

Ask for or infer:

  • target org alias
  • destination platform or downstream system
  • whether the segment already exists and is published
  • whether the user needs create, inspect, update, or delete
  • whether the task is activation-focused or data-action-focused

---

Core Operating Rules

  • Verify the upstream segment or insight is healthy before creating downstream delivery assets.
  • Run the shared readiness classifier before mutating activation assets: node ~/.claude/skills/sf-datacloud/scripts/diagnose-org.mjs -o <org> --phase act --json.
  • Inspect available platforms and targets before mutating activation setup.
  • Keep destination definitions deterministic and reusable where possible.
  • Treat downstream credential and platform constraints as separate validation concerns.
  • Prefer read-only inspection first when the destination state is unclear.

---

Recommended Workflow

1. Classify readiness for act work

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

2. Inspect destinations first

sf data360 activation platforms -o <org> 2>/dev/null
sf data360 activation-target list -o <org> 2>/dev/null
sf data360 data-action-target list -o <org> 2>/dev/null

3. Create the destination before the activation

sf data360 activation-target create -o <org> -f target.json 2>/dev/null
sf data360 data-action-target create -o <org> -f target.json 2>/dev/null

4. Create the activation or data action

sf data360 activation create -o <org> -f activation.json 2>/dev/null
sf data360 data-action create -o <org> -f action.json 2>/dev/null

5. Verify downstream readiness

sf data360 activation list -o <org> 2>/dev/null
sf data360 activation data -o <org> --name <activation> 2>/dev/null

---

High-Signal Gotchas

  • Activation design depends on a healthy published upstream segment.
  • Destination configuration usually comes before activation creation.
  • Downstream credential and platform constraints may live outside the Data Cloud CLI alone.
  • Read-only inspection is the safest first move when the destination setup is unclear.
  • CdpActivationTarget or CdpActivationExternalPlatform means the activation surface is gated for the current org/user; guide the user toward activation setup, permissions, and destination configuration instead of retrying blindly.

---

Output Format

Act task: <activation / activation-target / data-action / data-action-target>
Destination: <platform or target>
Target org: <alias>
Artifacts: <definition files / commands>
Verification: <listed / created / blocked>
Next step: <destination validation or downstream testing>

---

References

  • README.md
  • ../sf-datacloud/assets/definitions/activation-target.template.json
  • ../sf-datacloud/assets/definitions/activation.template.json
  • ../sf-datacloud/assets/definitions/data-action-target.template.json
  • ../sf-datacloud/assets/definitions/data-action.template.json
  • ../sf-datacloud/UPSTREAM.md
  • ../sf-datacloud/references/plugin-setup.md
  • ../sf-datacloud/references/feature-readiness.md

Related skills

How it compares

Use sf-datacloud-act for Data Cloud activation and delivery orchestration rather than generic CRM or unrelated API integration skills.

FAQ

What does sf-datacloud-act do in Salesforce?

sf-datacloud-act triggers activation and downstream delivery workflows inside Salesforce Data Cloud, letting developers run those operations from an AI coding agent with sf-datacloud family conventions.

Is sf-datacloud-act part of a larger skill set?

sf-datacloud-act belongs to the jaganpro/sf-skills sf-datacloud family, with shared CREDITS.md and UPSTREAM.md documentation alongside related Data Cloud agent skills.

Is Sf Datacloud Act safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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