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B2C Scapi Schemas

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salesforcecommercecloud·vlatest·backend·Apache-2.0

Defines standardized B2C data structures (SCAPI schemas) for seamless commerce data exchange and integration, boosting efficiency & accuracy.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add salesforcecommercecloud/b2c-developer-tooling --skill b2c-scapi-schemas -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

salesforcecommercecloud

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Live repository

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About this skill

What it does

This skill provides access to the B2C Commerce Server API (SCAPI) schemas, enabling AI agents to understand the specific data structures and object definitions required for Salesforce Commerce Cloud integrations. It acts as a reference library for schema validation and documentation retrieval within the development tooling ecosystem.

When to use it

  • Validating JSON payloads against official B2C Commerce SCAPI specifications before submission.
  • Generating API documentation or client-side SDKs based on current schema versions.
  • Debugging integration errors by cross-referencing field names and types with source definitions.
  • Onboarding new developers to the specific data model of a Salesforce Commerce Cloud instance.

Key capabilities

  • Access to official B2C SCAPI schema definitions.
  • Support for structured data validation within developer tooling.
  • Integration with salesforcecommercecloud/b2c-developer-tooling ecosystem.
  • Metadata retrieval for object and field relationships.

Example prompts

  • "Retrieve the latest schema definition for the Order object in B2C SCAPI."
  • "Validate this JSON payload against the Customer profile schema from the registry."
  • "List all available fields for the ProductCatalog object according to current standards."

Tips & gotchas

Ensure your AI agent has access to the specific version of the tooling package, as schemas may evolve with platform updates. Always verify that the retrieved schema matches your instance's configuration, especially if custom objects are in use.