
Sf Datacloud Connect
This handles the first phase of Salesforce Data Cloud work: setting up and inspecting external source connections. You'll use it when you need to test a Snowflake or Redshift connection, browse source objects before ingestion, or configure connector-specific payloads for things like SharePoint Unstructured or the Ingestion API. It wraps the sf data360 connection commands and includes curated example JSON for the tricky connectors that each want credentials structured differently. The main gotcha is that connection list requires you to already know the connector type, so discovery starts backward from existing streams. Once connections are working, you hand off to sf-datacloud-prepare for stream creation.
- skills.sh installs
- 983
- GitHub stars
- 422
- last updated
- Jul 14, 2026
Install
$ npx -y skills add jaganpro/sf-skills --skill sf-datacloud-connect --agent claude-codeInstalls into .claude/skills of the current project.
Files
sf-datacloud-connect: Data Cloud Connect Phase
Use this skill when the user needs source connection work: connector discovery, connection metadata, connection testing, source-object browsing, connector schema inspection, or connector-specific setup payloads for external sources.
When This Skill Owns the Task
Use sf-datacloud-connect when the work involves:
sf data360 connection *- connector catalog inspection
- connection creation, update, test, or delete
- browsing source objects, fields, databases, or schemas
- identifying connector types already in use
- preparing connector definitions for Snowflake, SharePoint Unstructured, or Ingestion API sources
Delegate elsewhere when the user is:
- creating data streams or DLOs → sf-datacloud-prepare
- creating DMOs, mappings, IR rulesets, or data graphs → sf-datacloud-harmonize
- writing Data Cloud SQL or search-index workflows → sf-datacloud-retrieve
Required Context to Gather First
Sponsors
Details
- Repository
- github.com/jaganpro/sf-skills
- First seen
- May 16, 2026
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