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Sf Datacloud Retrieve

This handles the query and search layer of Salesforce Data Cloud: running SQL (sync, paginated, or async), describing tables, managing vector and hybrid search indexes, and inspecting metadata. You'd reach for it when you need to pull data out of Data Cloud DMOs or run semantic search workflows, not for standard CRM SOQL or segment design. The skill enforces readiness checks before querying, ships curated search index templates, and steers you toward the right query shape based on result set size. One honest take: Data Cloud SQL is its own dialect with double quoted table names and different pagination rules, so the guardrails around describe first and async for large exports actually save time.

skills.sh installs
985
GitHub stars
422
last updated
Jul 14, 2026

Install

$ npx -y skills add jaganpro/sf-skills --skill sf-datacloud-retrieve --agent claude-code

Installs into .claude/skills of the current project.

Files

sf-datacloud-retrieve: Data Cloud Retrieve Phase

Use this skill when the user needs query, search, and metadata introspection for Data Cloud: sync SQL, paginated SQL, async query workflows, table describe, vector search, hybrid search, or search index operations.

When This Skill Owns the Task

Use sf-datacloud-retrieve when the work involves:

  • sf data360 query *
  • sf data360 search-index *
  • sf data360 metadata *
  • sf data360 profile * or sf data360 insight * inspection
  • understanding Data Cloud SQL results or query shape

Delegate elsewhere when the user is:


Required Context to Gather First

Ask for or infer:

  • target org alias
  • whether the user needs quick count, medium result set, large export, schema inspection, or semantic search
  • table/index name if known
  • whether the task is read-only SQL or search-index lifecycle management

Sponsors

Details

Repository
github.com/jaganpro/sf-skills
First seen
May 16, 2026

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