What authentication methods are covered for Data Cloud APIs?

The skill provides patterns for OAuth, API Key, and IAM role-based authentication for various ingestion and query scenarios.

Does this skill support the latest 2025 Salesforce updates?

Yes, it specifically includes patterns for the 2025 Vector Database GA and Hybrid Search pilot features.

Can I use this for Snowflake or Databricks integrations?

Absolutely. It provides detailed Zero Copy configuration steps and query patterns for Snowflake, Databricks, and Google BigQuery.

How does it manage project documentation?

It follows a strict 'clean repository' policy, prioritizing updates to existing README files over creating new documentation unless specifically requested.

Does it handle Windows-specific development requirements?

Yes, the skill enforces mandatory backslash usage for file paths on Windows to ensure scripts and file operations run correctly.

Salesforce Data Cloud 2025

Name: Salesforce Data Cloud 2025
Author: JosiahSiegel

byJosiahSiegel

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云基础设施

Implements advanced Salesforce Data Cloud integration patterns and architecture using 2025 industry standards.

关于

This skill provides specialized guidance for architecting and implementing Salesforce Data Cloud solutions, focusing on the latest 2025 features like Zero Copy architecture, Vector Databases, and Hybrid Search. It enables Claude to generate precise technical patterns for real-time data ingestion via Change Data Capture, complex identity resolution rules, and high-performance activations through Agentforce and Salesforce Flow. Whether you are connecting external data lakes like Snowflake or building AI-ready unified customer profiles, this skill ensures your implementation follows modern best practices while maintaining strict repository cleanliness and Windows-compatible development standards.

主要功能

Implements 2025 AI features including Vector Database storage and Hybrid Search logic.
Architects Zero Copy integrations for Snowflake, Databricks, and BigQuery without data movement.
7 GitHub stars
Generates optimized Apex and Python code for Data Cloud Query and Bulk Ingestion APIs.
Configures real-time streaming patterns using Salesforce Change Data Capture (CDC) and Platform Events.
Defines Identity Resolution match and reconciliation rules for unified customer profiles.

使用场景

Developing AI-driven automation triggered by real-time calculated insights and customer behavior.
Building a real-time Customer Data Platform (CDP) that unifies disparate legacy system data.
Implementing 'Zero Copy' data strategies to query external warehouses directly within Salesforce.

关于

主要功能

Implements 2025 AI features including Vector Database storage and Hybrid Search logic.
Architects Zero Copy integrations for Snowflake, Databricks, and BigQuery without data movement.
7 GitHub stars
Generates optimized Apex and Python code for Data Cloud Query and Bulk Ingestion APIs.
Configures real-time streaming patterns using Salesforce Change Data Capture (CDC) and Platform Events.
Defines Identity Resolution match and reconciliation rules for unified customer profiles.

使用场景

Developing AI-driven automation triggered by real-time calculated insights and customer behavior.
Building a real-time Customer Data Platform (CDP) that unifies disparate legacy system data.
Implementing 'Zero Copy' data strategies to query external warehouses directly within Salesforce.