What problem does it solve? Working with Salesforce Data Cloud requires knowing which query surface to use—sync SQL, paginated sqlv2, async queries, vector search, or hybrid search—and getting it wrong leads to failed queries, wrong syntax (Data Cloud SQL is not SOQL), or searches against unhealthy indexes. This Skill provides a structured retrieve-phase workflow that picks the correct query shape and validates readiness first. ## Core Features & Use Cases - Query Execution: Run quick SQL counts, paginated sqlv2 queries, and async query lifecycles via the sf data360 CLI plugin. - Schema Introspection: Describe Data Cloud tables before writing SQL so you never guess column names. - Vector & Hybrid Search: Execute semantic and hybrid searches with optional prefilters, plus create and inspect search indexes using curated JSON examples. - Use Case: You need to troubleshoot why a vector search on your Knowledge index returns no results. The Skill first runs the readiness classifier, lists search indexes to confirm lifecycle health, then runs the vector query with the correct index and parameters. ## Quick Start Ask the agent to run a Data Cloud SQL query against unified profiles in your org, for example counting rows in the ssot__Individual__dlm table.