What is the primary benefit of Agent Script over prompt engineering?

Agent Script transforms agent development from prompt-based suggestions to code-enforced guarantees, ensuring deterministic behavior and more reliable execution of complex logic.

Can I edit Agent Scripts using the Salesforce Canvas view?

While the Canvas view is available, it is known to occasionally corrupt complex syntax. This skill recommends using the Script view for all structural edits and transitions to maintain code integrity.

Does this skill require specific Salesforce licenses?

Yes, it requires an Agentforce license, API version 65.0 or higher, and a valid Einstein Agent User in the target Salesforce organization.

How does the skill handle syntax errors in .agent files?

The skill includes automated syntax validators that check for common issues like nested if-statements, reserved field names, and improper indentation before the code is deployed.

Salesforce Agent Script (Agentforce)

Name: Salesforce Agent Script (Agentforce)
Author: Jaganpro

byJaganpro

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Developer Tools

Develops deterministic Salesforce Agentforce agents using the Agent Script DSL for code-enforced AI behavior and FSM architectures.

About

The sf-ai-agentscript skill enables developers to build, debug, and deploy Salesforce Agentforce agents using a code-first approach via the Agent Script DSL. By moving from prompt-based suggestions to code-enforced guarantees, this skill allows for the creation of robust agents within a single .agent file. It provides specialized guidance on Finite State Machine (FSM) architecture, syntax validation, and instruction resolution, while helping developers navigate critical constraints such as API v65.0 requirements, reserved field names, and the avoidance of nested conditionals. It is the definitive resource for Salesforce developers aiming for high-reliability, production-grade agentic AI.

Key Features

Automated .agent DSL syntax validation and guardrail checks
Deterministic FSM (Finite State Machine) architecture for Agentforce
Pre-deployment checks for API v65.0+ and Einstein Agent User validation
Mapping tables for complex data types and SObject record types
37 GitHub stars
Support for hybrid reasoning and complex instruction resolution

Use Cases

Standardizing Agentforce development through code-enforced scripts instead of manual UI configuration
Building complex customer service agents with state-dependent logic and transitions
Automating the validation and deployment of Salesforce AI agents via CLI and CI/CD pipelines

About

Key Features

Automated .agent DSL syntax validation and guardrail checks
Deterministic FSM (Finite State Machine) architecture for Agentforce
Pre-deployment checks for API v65.0+ and Einstein Agent User validation
Mapping tables for complex data types and SObject record types
37 GitHub stars
Support for hybrid reasoning and complex instruction resolution

Use Cases

Standardizing Agentforce development through code-enforced scripts instead of manual UI configuration
Building complex customer service agents with state-dependent logic and transitions
Automating the validation and deployment of Salesforce AI agents via CLI and CI/CD pipelines