Does this skill support the one-trigger-per-object pattern?

Yes, it specifically enforces the handler pattern where the trigger file only dispatches events to a separate handler class, keeping logic modular and maintainable.

Can it help prevent Salesforce governor limit errors?

Absolutely. The framework includes strict bulkification rules to ensure logic handles batches of 200+ records without triggering 'SOQL/DML in a loop' errors.

How does this handle Salesforce execution order?

It provides a detailed mapping of the record-save lifecycle, helping you position trigger logic correctly relative to Flows, Validation Rules, and System Actions.

Does it assist with production deployment requirements?

Yes, it guides the creation of test classes that meet the 75% coverage requirement and includes best practices for using RunSpecifiedTests during deployment.

Salesforce Apex Trigger Framework

Name: Salesforce Apex Trigger Framework
Author: RevPalSFDC

byRevPalSFDC

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Database Management

Implements production-grade Salesforce Apex trigger architectures using the handler pattern and bulkification best practices.

This skill provides a comprehensive framework for designing, implementing, and deploying Salesforce Apex triggers. It enforces the one-trigger-per-object handler pattern to ensure code maintainability and prevents performance bottlenecks by enforcing bulkification rules, such as avoiding SOQL and DML operations inside loops. It is specifically designed to help developers manage complex record-save execution orders, troubleshoot conflicts with Flows, and ensure high-quality deployments through robust unit testing and recursion control.

Key Features

011 GitHub stars

02Execution order conflict troubleshooting between Apex and Flows

03Automated bulkification checks for 200+ record batches

04Recursion guard implementation for complex DML cycles

05One-trigger-per-object handler architecture enforcement

06Production-safe unit testing and code coverage generation

Use Cases

01Building a scalable trigger handler for custom or standard Salesforce objects

02Refactoring legacy 'fat triggers' into a modular, testable handler pattern

03Debugging complex record-save execution order issues between Apex and record-triggered Flows

Key Features

011 GitHub stars

02Execution order conflict troubleshooting between Apex and Flows

03Automated bulkification checks for 200+ record batches

04Recursion guard implementation for complex DML cycles

05One-trigger-per-object handler architecture enforcement

06Production-safe unit testing and code coverage generation

Use Cases

01Building a scalable trigger handler for custom or standard Salesforce objects

02Refactoring legacy 'fat triggers' into a modular, testable handler pattern

03Debugging complex record-save execution order issues between Apex and record-triggered Flows