architect-operator

Govern BrazeAI Operator actions through mandatory human review before execution.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/delta-and-beta/braze-agency --skill architect-operator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: architect-operator
Source: https://github.com/delta-and-beta/braze-agency/tree/main/skills/architect-operator
Command: npx skills add https://github.com/delta-and-beta/braze-agency --skill architect-operator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

BrazeAI Operator governance layer ensures proposed automated actions are reviewed before execution, reducing misfires and misconfigurations in dashboard tasks.

Core Features & Use Cases

  • Action card review: Operator summarizes proposed changes and requires human approval for each card.
  • Ticket escalation: File and attach context to in-dashboard support tickets directly from Operator conversations.
  • Troubleshooting guidance: Provides structured patterns to diagnose Operator behavior and recover from failures.

Quick Start

Configure and apply the Operator action governance workflow in Braze to require review before execution.

Frequently Asked Questions about architect-operator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I require human review for BrazeAI Operator actions before execution?

To require human review for BrazeAI Operator actions, configure the operator action governance workflow to mandate in-dashboard action card approval before execution. This human-in-the-loop lifecycle ensures proposed automated changes are summarized and manually approved.

What is the best way to file in-dashboard support tickets for Operator behavior issues?

The best way to file in-dashboard support tickets for Operator behavior issues is to use the ticket escalation workflow to attach conversational context directly to support tickets from within the Braze dashboard.

How do I troubleshoot BrazeAI Operator behavior and recover from dashboard failures?

To troubleshoot BrazeAI Operator behavior and recover from dashboard failures, apply structured diagnostic templates that provide troubleshooting patterns to identify operational issues and safely restore normal workflow execution.

Does BrazeAI Operator support human-in-the-loop governance for automated dashboard tasks?

Yes, BrazeAI Operator supports human-in-the-loop governance by enforcing a lifecycle that requires manual review of proposed action cards and support-ticket workflows before any automated dashboard tasks are executed.

Why should I use a governance layer for Operator action cards?

You should use a governance layer for Operator action cards to reduce misfires and misconfigurations in dashboard tasks by ensuring all proposed automated actions are reviewed and explicitly approved by a human before execution.