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sf-ai-agentforce

jaganpro/sf-skills

Salesforce Agentforce Builder metadata, topics, actions, and Prompt Builder templates for declarative agent development.

What is sf-ai-agentforce?

This skill manages Salesforce Agentforce Builder-based agents via Setup UI, including topic/action configuration, GenAiFunction/GenAiPlugin metadata, Prompt Builder templates, and Models API integration. Use it when maintaining existing Builder agents or working with declarative metadata; for code-first Agent Script development (.agent files), use sf-ai-agentscript instead.

  • Configure and maintain Builder-managed topics, actions, and agent metadata in Setup UI
  • Create and deploy GenAiFunction, GenAiPlugin, and GenAiPromptTemplate metadata for agent actions
  • Wire Builder topics to Flow, Apex, and Prompt Builder template actions
  • Manage Service Agent and Employee Agent visibility, running users, and permission sets
  • Deploy supporting metadata stack (fields, Flows, Apex, templates) before publishing agents
  • Publish and activate agents using declarative Builder workflows

How to install sf-ai-agentforce

npx skills add https://github.com/jaganpro/sf-skills --skill sf-ai-agentforce
Prerequisites
  • Salesforce org with API v66.0+ (Spring '26)
  • Access to Setup → Agentforce → Agents UI
  • For Service Agents: ability to create agent users via sf org create agent-user
  • For Employee Agents: Permission Set with <agentAccesses> configuration
Claude Code
Cursor
Windsurf
Cline

How to use sf-ai-agentforce

  1. 1.Confirm whether this is a Builder/Setup UI project or code-first Agent Script project
  2. 2.Determine agent type: Service Agent or Employee Agent
  3. 3.For Service Agents, provision a running user; for Employee Agents, plan visibility via Permission Sets
  4. 4.Define topics with specific, scenario-based descriptions and non-overlapping scope
  5. 5.Prepare supporting actions: create Flows, Apex @InvocableMethod methods, or Prompt Builder templates
  6. 6.Register actions via GenAiFunction or GenAiPlugin metadata with matching input/output contracts
  7. 7.Deploy supporting metadata stack (fields, Flows, Apex, templates) before publishing
  8. 8.Configure agent topics, actions, and inputs/outputs in Builder UI

Use cases

Good for
  • Maintaining an existing Service Agent with Flow-based actions and Prompt Builder templates
  • Creating Employee Agent topics with Apex-backed actions and custom Lightning types
  • Registering a new GenAiPromptTemplate for agent-generated summaries or recommendations
  • Configuring topic routing and action inputs/outputs in the Builder UI
  • Deploying supporting metadata and publishing an agent version for activation
Who it's for
  • Salesforce admins maintaining Builder-based Agentforce agents
  • Developers working on declarative agent metadata and action registration
  • Teams using Setup UI for agent configuration rather than code-first authoring
  • Architects planning Service Agent vs Employee Agent deployments

sf-ai-agentforce FAQ

When should I use sf-ai-agentforce vs sf-ai-agentscript?

Use sf-ai-agentforce for Builder/Setup UI projects and existing Builder agents. Use sf-ai-agentscript for code-first development with .agent authoring bundles and deterministic FSM design.

What is the difference between Prompt Template and GenAiPromptTemplate?

Prompt Template is the UI term in Prompt Builder; GenAiPromptTemplate is the Metadata API type. Prefer the current source format: genAiPromptTemplates/*.genAiPromptTemplate-meta.xml with content under templateVersions.

Do I need to deploy supporting metadata before publishing the agent?

Yes. Deploy the supporting stack in order: metadata/fields, Apex, Flows, GenAiPromptTemplate/GenAiFunction/GenAiPlugin, then publish the agent.

Why is my Employee Agent not visible after publishing?

Employee Agents require end users to receive a Permission Set containing <agentAccesses>. Publishing does not automatically grant visibility; configure the Permission Set separately.

Does publish activate the agent automatically?

No. Publish and activate are separate steps. After publish, run sf agent activate --api-name <AgentName> --version <n> to activate the agent.

Full instructions (SKILL.md)

Source of truth, from jaganpro/sf-skills.


name: sf-ai-agentforce description: > Agentforce Builder metadata path for Builder-managed topics/actions, Prompt Builder templates, GenAiFunction/GenAiPlugin, Models API, and custom Lightning types. TRIGGER when: user maintains or configures Builder metadata agents, creates topics/actions, works with Prompt Builder templates, or touches .genAiFunction, .genAiPlugin, or .genAiPromptTemplate metadata XML files. DO NOT TRIGGER when: Agent Script DSL .agent files (use sf-ai-agentscript), agent testing (use sf-ai-agentforce-testing), or persona design (use sf-ai-agentforce-persona). license: MIT compatibility: "Requires API v66.0+ (Spring '26)" metadata: version: "2.2.0" author: "Jag Valaiyapathy"

sf-ai-agentforce: Standard Agentforce Platform Development

Use this skill for the Setup UI / Agent Builder path: declarative topics, Builder-managed actions, GenAiFunction / GenAiPlugin metadata, Prompt Builder templates stored as GenAiPromptTemplate metadata, Models API usage from Apex, and custom Lightning types.

For new code-first agent development, prefer sf-ai-agentscript.

If the work produces or edits a .agent file — including Builder Script / Canvas work that results in an authoring bundle — use sf-ai-agentscript.

When This Skill Owns the Task

Use sf-ai-agentforce when the user is:

  • maintaining existing Builder-based agents
  • working in Setup → Agentforce → Agents
  • creating or fixing GenAiFunction, GenAiPlugin, or GenAiPromptTemplate metadata
  • wiring Builder topics to Flow / Apex / Prompt Builder actions
  • using Models API or LightningTypeBundle in the context of Builder-based agents

Do not use it for:

  • .agent files or deterministic FSM design → sf-ai-agentscript
  • agent test suites and coverage loops → sf-ai-agentforce-testing
  • persona / voice design → sf-ai-agentforce-persona

Required Context to Gather First

Ask for or infer:

  • whether this is a Builder / Setup UI project or a code-first Agent Script project
  • whether the user is editing Builder metadata or a .agent authoring bundle
  • agent type: Service Agent or Employee Agent
  • whether the work targets topics, actions, Prompt Builder templates, Models API, or custom Lightning types
  • what supporting Flow / Apex / metadata dependencies already exist
  • whether the user needs authoring help, publish help, or troubleshooting

Two Agentforce Paths

PathSkillBest fit
Builder metadata pathsf-ai-agentforceDeclarative maintenance, existing Builder agents, metadata-driven action registration
Agent Script authoring bundle pathsf-ai-agentscriptCode-first .agent authoring, deterministic routing, version-controlled agent logic

If the user is starting from scratch and wants strong control over flow/state, route to Agent Script.


Builder Workflow Summary

  1. Confirm this is a Builder / Setup UI project
  2. Pick Service Agent vs Employee Agent
  3. For Service Agents, provision the running user (prefer sf org create agent-user)
  4. For Employee Agents, plan visibility with a Permission Set containing <agentAccesses>
  5. Define topics with strong descriptions, scope, and instructions
  6. Prepare supporting actions (Flow, Apex, Prompt Builder template)
  7. Configure inputs / outputs carefully
  8. Validate dependencies and template status
  9. Publish, then activate

Expanded workflow: references/builder-workflow.md


Key Platform Rules

Topic quality matters

Topic descriptions are routing instructions for the planner. They must be:

  • specific
  • scenario-based
  • non-overlapping with sibling topics

Actions are wrappers around real targets

Target typeTypical useRegistered via
Flowsafest default for Builder actionsGenAiFunction
Apexcomplex business logic via @InvocableMethodGenAiFunction
Prompt Builder templategenerated summaries / drafts / recommendationsGenAiFunction

Prompt Template vs GenAiPromptTemplate

  • Prompt Template is the plain-English / UI term used in Prompt Builder.
  • GenAiPromptTemplate is the current Metadata API type for source-driven template work.
  • Prefer current source format: genAiPromptTemplates/*.genAiPromptTemplate-meta.xml.
  • For flexible Prompt Builder templates, plan around the 5-input maximum and consolidate inputs when needed.
  • Prompt content should reference inputs with the current merge-field shape, e.g. {!$Input:TargetRecord} or {!$Input:AdditionalContext}.

Supporting metadata deploys first

Before publishing the agent itself, deploy the supporting stack:

  1. metadata / fields if needed
  2. Apex if needed
  3. Flows if needed
  4. GenAiPromptTemplate / GenAiFunction / GenAiPlugin
  5. then publish the agent

Service Agent running user

For Service Agents, prefer the native GA command: sf org create agent-user --target-org <alias> --json Use the returned username in the running-user configuration.

Employee Agent visibility

For Employee Agents, ensure end users receive a Permission Set containing <agentAccesses>. Without this, the agent can be active but still invisible in Lightning Experience. See ../sf-permissions/references/agent-access-guide.md.

Publish does not activate

After publish, run sf agent activate separately. For automation, prefer sf agent activate --api-name <AgentName> --version <n> --target-org <alias> --json so the rollout is deterministic and machine-readable.


Metadata Guidance

GenAiFunction

Use when registering a single callable action. Validate:

  • target exists
  • target is active / deployable
  • input names match the target contract
  • output names match the target contract
  • capability text clearly says when the action should be used

GenAiPlugin

Use when grouping related functions into one logical package.

GenAiPromptTemplate

Use for generated content, not deterministic business rules.

Prefer the current metadata shape:

  • metadata type: GenAiPromptTemplate
  • folder: genAiPromptTemplates/
  • file suffix: .genAiPromptTemplate-meta.xml
  • content lives under templateVersions
  • use published template versions before wiring actions that depend on them

Models API

Use when the solution belongs in Apex-driven AI orchestration rather than Builder-only actions.

Custom Lightning Types

Use when the action needs richer structured input or output presentation.

Expanded references:


Cross-Skill Integration

Recommended Orchestration Order

sf-metadata → sf-apex → sf-flow → sf-ai-agentforce → sf-deploy

Required delegations

RequirementDelegate toWhy
Create / fix Flowssf-flowAction target creation and Flow validation
Create / fix Apex actionssf-apex@InvocableMethod and Apex correctness
Deploy / publishsf-deployDeployment orchestration
Test the agentsf-ai-agentforce-testingFormal test execution and assertions
Employee Agent visibility / accesssf-permissionsPermission Set <agentAccesses> setup

High-Signal Failure Patterns

SymptomLikely causeRead next
Action not available in Buildertarget metadata missing or not deployedreferences/metadata-reference.md
Prompt action fails during publish or activationtemplate is Draft, missing inputs, or old metadata shape is being usedreferences/genaiprompttemplate.md
Need more than 5 template inputsflex template input limit hitreferences/genaiprompttemplate.md
Apex AI logic times outModels API work placed in the wrong contextreferences/models-api.md
Rich input/output UI not renderingLightning type config or prerequisites are incompletereferences/custom-lightning-types.md
Agent publishes but is not usableforgot explicit activationreferences/cli-commands.md
Service Agent publish/runtime failuremissing or invalid running user../sf-ai-agentscript/references/agent-user-setup.md
Employee Agent active but not visible to usersmissing <agentAccesses> permission set../sf-permissions/references/agent-access-guide.md

Reference Map

Start here

Terminology and template planning

Rubric

Cross-skill reads

  • sf-ai-agentscript
  • sf-ai-agentforce-testing
  • sf-flow
  • sf-apex
  • sf-permissions
  • sf-deploy

Score Guide

ScoreMeaning
90+Ready to deploy
80–89Strong, minor cleanup only
70–79Review before deploy
60–69Needs work
< 60Block deployment

Full rubric: references/scoring-rubric.md