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data360-query

Execute SQL, paginated SQL, async queries, and vector searches in Salesforce Data Cloud.

Updated Jul 2, 2026
Search Tags:#vector search#hybrid search#salesforce#sql query#data cloud#metadata inspection
One-click install
npx skills add https://github.com/padjei/SF_Agents --skill data360-query-padjei
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data360-query
Source: https://github.com/padjei/SF_Agents/tree/main/.claude/skills/data360-query
Command: npx skills add https://github.com/padjei/SF_Agents --skill data360-query-padjei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sf data360 CLI, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the need for efficient query execution, complex search, and metadata introspection within the Salesforce Data Cloud.

Core Features & Use Cases

  • Data Cloud SQL Execution: Run Data Cloud SQL queries with advanced options like paginated SQL and async queries.
  • Vector and Hybrid Search: Perform vector and hybrid searches for in-depth data analysis and metadata retrieval.
  • Metadata Introspection: Quickly inspect and manage Data Cloud objects like tables and indexes.
  • Use Case: For instance, a data analyst can use this Skill to run a vector search to find documents related to 'reset password' or inspect a search index for the 'Knowledge_Index'.

Quick Start

Use the data360-query skill to perform a vector search on the 'Knowledge_Index' for the term 'reset password'.

Frequently Asked Questions about data360-query

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run SQL queries in Salesforce Data Cloud?▼

You can run Data Cloud SQL queries using this Skill, which supports standard SQL execution, paginated SQL for structured retrieval, and async queries for handling large data sets efficiently.

Can I perform vector search on Data Cloud objects like Knowledge_Index?▼

Yes, vector search is supported for in-depth data analysis and metadata retrieval in Data Cloud. You can query a specific search index, such as 'Knowledge_Index', to find relevant documents.

What is hybrid search and how does it work for metadata inspection?▼

Hybrid search combines vector and traditional search methods to enable efficient metadata analysis and retrieval. It allows you to quickly inspect and manage Data Cloud objects like tables and indexes.

When should I use async queries instead of standard SQL in Data Cloud?▼

Async queries should be used for large data sets in Data Cloud. They prevent timeouts and improve performance during complex data retrieval, unlike standard SQL which is better suited for smaller, immediate results.

Do I need the sf data360 CLI to execute Data Cloud SQL and search operations?▼

Yes, the sf data360 CLI is a required dependency. You must have it installed and configured in your environment to execute Data Cloud SQL queries, vector search, and metadata introspection.

What's the best way to inspect Data Cloud tables and search indexes?▼

The best way to inspect Data Cloud tables and indexes is through metadata introspection. This allows you to quickly manage Data Cloud objects and retrieve structural information using the sf data360 CLI.

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