B2C Custom Job Steps
ListedThis skill lets you define and execute tailored B2C customer journeys as automated job steps, boosting personalization & efficiency.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add salesforcecommercecloud/b2c-developer-tooling --skill b2c-custom-job-steps -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
salesforcecommercecloud
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Install target
Live repository
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About this skill
What it does
This skill allows you to dynamically add custom steps to Business-to-Consumer (B2C) jobs within the Salesforce Commerce Cloud platform. It enables developers to extend standard job processing logic by injecting specific actions or configurations at defined points in the workflow.
When to use it
- You need to insert a custom validation step before an order is finalized in a B2C checkout process.
- You want to trigger a specific external API call as part of a background job without modifying core platform code.
- Your team requires a unique logging or auditing mechanism that must run during a specific job execution phase.
- You are building a specialized integration where standard job steps are insufficient for your business logic requirements.
Key capabilities
- Adds custom actions to the B2C job lifecycle.
- Extends existing job definitions with user-defined logic.
- Integrates seamlessly with Salesforce Commerce Cloud developer tooling.
Example prompts
- "Configure a new B2C job step that validates inventory levels before processing a high-value order."
- "Add a custom notification trigger to the end of my standard fulfillment job using b2c-custom-job-steps."
- "How do I inject a data transformation step into an existing B2C background job?"
Tips & gotchas
Ensure your custom steps adhere to the platform's execution time limits to prevent job timeouts. Test all new job configurations in a sandbox environment before deploying them to production to avoid disrupting live order processing.