sf-datacloud-act

Salesforce Data Cloud Act phase. TRIGGER when: user manages activations, activation targets, data actions, or downstream delivery of Data Cloud audiences and data. DO NOT TRIGGER when: the task is segment creation (use sf-datacloud-segment), data retrieval/search work (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "sf-datacloud-act" with this command: npx skills add jaganpro/sf-skills/jaganpro-sf-skills-sf-datacloud-act

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:


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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

sf-ai-agentscript

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

sf-ai-agentforce

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

sf-ai-agentforce-testing

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

sf-ai-agentforce-observability

No summary provided by upstream source.

Repository SourceNeeds Review