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).
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/jaganpro/sf-skills --skill sf-datacloud-act- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads sf-datacloud-act automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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.
CdpActivationTargetorCdpActivationExternalPlatformmeans 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
FAQ
What does the sf-datacloud-act skill do?
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).
How do I install sf-datacloud-act?
Run npx skills add https://github.com/jaganpro/sf-skills --skill sf-datacloud-act in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sf-datacloud-act/ (personal) or .claude/skills/sf-datacloud-act/ (project).
Which AI agents can use sf-datacloud-act?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is sf-datacloud-act safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains sf-datacloud-act?
It is published by jaganpro in jaganpro/sf-skills. It has 972 recorded installs.
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