Why is indentation important in Agentforce scripts?

Agent Script is whitespace-sensitive, similar to YAML or Python. This skill enforces consistent indentation (tabs recommended) to prevent deployment parse errors.

What is the difference between AiAuthoringBundle and GenAiPlannerBundle?

AiAuthoringBundle makes your agent visible in the Agentforce Studio UI but has limited utility action support. GenAiPlannerBundle supports full Agent Script features like advanced escalation but does not appear in the Studio UI.

Does this skill handle Salesforce dependencies?

Yes, it follows a strict orchestration order where metadata, Apex, and Flows are deployed via specialized skills before the Agentforce agent is published.

What API version is required for Agentforce agents?

Agent Script requires a minimum of API v64.0 (Summer '25), with v65.0+ (Winter '26) required for full deployment capabilities.

Agentforce Scripting for Salesforce

Name: Agentforce Scripting for Salesforce
Author: Jaganpro

byJaganpro

•

部署与 DevOps

Generates and deploys production-ready Agentforce agents using Agent Script syntax and a 100-point best-practice validation system.

关于

The sf-ai-agentforce skill enables developers to build and manage sophisticated Salesforce Agentforce agents using structured Agent Script syntax. It provides expert guidance on defining topics, configuring actions for Flows and Apex, and ensuring proper indentation and reserved word usage. By validating agents against a 100-point scoring framework and managing the orchestration between metadata, Apex, and Flow dependencies, this skill ensures that AI agents are production-ready and fully compatible with the latest Salesforce API versions (v65.0+).

主要功能

Integrated 100-point scoring system based on 6 critical validation categories.
Dependency orchestration to ensure metadata and logic are deployed in the correct sequence.
Automated Agent Script generation with strict whitespace and syntax validation.
8 GitHub stars
Dual deployment support for AiAuthoringBundle and GenAiPlannerBundle metadata.
Advanced action integration for Flows, Apex InvocableMethods, and Prompt Templates.

使用场景

Automating the deployment of Agentforce configurations via CI/CD pipelines.
Creating specialized agent topics with custom system instruction overrides and escalation logic.
Developing AI-driven customer service agents with complex multi-step workflows.

关于

主要功能

Integrated 100-point scoring system based on 6 critical validation categories.
Dependency orchestration to ensure metadata and logic are deployed in the correct sequence.
Automated Agent Script generation with strict whitespace and syntax validation.
8 GitHub stars
Dual deployment support for AiAuthoringBundle and GenAiPlannerBundle metadata.
Advanced action integration for Flows, Apex InvocableMethods, and Prompt Templates.

使用场景

Automating the deployment of Agentforce configurations via CI/CD pipelines.
Creating specialized agent topics with custom system instruction overrides and escalation logic.
Developing AI-driven customer service agents with complex multi-step workflows.