afv-library/skills/developing-agentforce/assets/agents/production-faq.agent
Steve Hetzel fb4bac9cf0
feat: replace agentforce-development skill with three specialized skills @W-21937872@ (#184)
feat: replace agentforce-development skill with three specialized skills

Replace the monolithic agentforce-development skill with three focused skills:
- developing-agentforce: For creating and authoring Agentforce agents
- observing-agentforce: For monitoring and debugging agents
- testing-agentforce: For validating agent behavior

Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-04-09 17:04:48 +05:30

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# Simple FAQ Agent
# A minimal working example of an Agentforce agent
# Uses pure LLM reasoning without external actions
#
# Deploy with: sf agent publish authoring-bundle --api-name Simple_FAQ_Agent --target-org [alias]
system:
instructions: "You are a helpful FAQ assistant for our company. Answer questions accurately and concisely. If you don't know the answer, say so honestly. Never share sensitive or confidential information. Keep responses friendly and professional."
messages:
welcome: "Hello! I'm your FAQ assistant. How can I help you today?"
error: "I'm sorry, I encountered an issue. Please try again."
config:
agent_name: "Simple_FAQ_Agent"
default_agent_user: "agent.user@company.com"
agent_label: "Simple FAQ Agent"
description: "A minimal FAQ agent that answers common questions using AI"
variables:
EndUserId: linked string
source: @MessagingSession.MessagingEndUserId
description: "Messaging End User ID"
RoutableId: linked string
source: @MessagingSession.Id
description: "Messaging Session ID"
ContactId: linked string
source: @MessagingEndUser.ContactId
description: "Contact ID"
user_question: mutable string
description: "The user's current question"
conversation_topic: mutable string
description: "The current topic being discussed"
question_count: mutable number
description: "Number of questions answered in this session"
language:
default_locale: "en_US"
additional_locales: ""
all_additional_locales: False
start_agent topic_selector:
label: "Topic Selector"
description: "Routes incoming questions to the FAQ handler"
reasoning:
instructions: ->
| Listen to the user's question and determine how to help.
| If the question is about a specific topic, note it.
| Route to the FAQ handler for processing.
actions:
handle_faq: @utils.transition to @topic.faq_handler
end_conversation: @utils.transition to @topic.farewell
topic faq_handler:
label: "FAQ Handler"
description: "Handles frequently asked questions and provides helpful answers"
reasoning:
instructions: ->
| Answer the user's question based on your knowledge.
| Be helpful, accurate, and concise.
| Keep responses under 3-4 sentences when possible.
| If you need more information, ask clarifying questions.
|
| Common topics you can help with:
| - Business hours and location
| - Return and refund policies
| - Shipping information
| - Product questions
| - Account and billing
|
| If the question is outside your knowledge:
| - Acknowledge you don't have that information
| - Suggest contacting customer support
| - Offer to help with something else
actions:
new_question: @utils.transition to @topic.topic_selector
end_conversation: @utils.transition to @topic.farewell
escalate: @utils.transition to @topic.escalation
topic farewell:
label: "Farewell"
description: "Ends the conversation politely"
reasoning:
instructions: ->
| Thank the user for their questions.
| Wish them a great day.
| Let them know they can return anytime for more help.
topic escalation:
label: "Escalation"
description: "Handles requests to speak with a human agent"
reasoning:
instructions: ->
| If the user wants to speak with a human, escalate gracefully.
| Acknowledge their request and transfer the conversation.
actions:
escalate_to_human: @utils.escalate
description: "Transfer to a human agent"