meta-ads-orchestrator

operate-a-modern-communications-command-center-for-multiplayer-games-and-communities-with-a-focus on chat moderation, translation and automated alerts.

1|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/kayasinan/meta-ad-manager --skill meta-ads-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meta-ads-orchestrator
Source: https://github.com/kayasinan/meta-ad-manager/tree/main/meta-ads-orchestrator
Command: npx skills add https://github.com/kayasinan/meta-ad-manager --skill meta-ads-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openclaw, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill acts as the central brain for a sophisticated AI system managing Meta (Facebook/Instagram) ad campaigns, automating complex optimization cycles and ensuring human oversight for all critical decisions.

Core Features & Use Cases

  • Automated Optimization Cycles: Manages 6-day cycles, coordinating 7 specialized agents to gather intelligence, analyze performance, and propose campaign adjustments.
  • Human-in-the-Loop Control: Consolidates agent outputs, presents clear summaries and recommendations, and requires human approval for all budget changes and campaign launches.
  • Multi-Brand Support: Operates across multiple brands, ensuring data isolation and brand-specific configurations.
  • Use Case: Automatically run a full optimization cycle for a specific brand, from data collection to presenting a summary of findings and recommended actions (like pausing underperforming ads or scaling successful ones) to the human operator for approval.

Quick Start

Run the meta-ads-orchestrator skill for brand ID 'your-brand-id-here'.

Frequently Asked Questions about meta-ads-orchestrator

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

FAQPage Schema
How do I automate Meta Ads campaign optimization across multiple brands?

You can automate Meta Ads campaign optimization by orchestrating a multi-agent AI system that manages 6-day cycles, dispatching 7 specialized agents via SSH to gather intelligence and propose adjustments for multiple brands. It consolidates findings and requires your approval for budget changes.

What is human-in-the-loop control in AI agent ad management?

Human-in-the-loop control in AI agent ad management means the system consolidates agent outputs and presents actionable insights, but requires explicit human approval before executing any budget changes or launching new Meta Ads campaigns.

Can I use Supabase Vault for API credential management in Meta Ads automation?

Yes, you can use Supabase Vault for API credential management in this Meta Ads automation system, ensuring secure storage and access while maintaining data isolation across multiple brand configurations.

How do I handle API rate limits and agent failures during ad campaign optimization?

To handle API rate limits and agent failures during ad campaign optimization, this multi-agent system includes robust error handling that manages dispatch failures and ensures the 6-day optimization cycle continues reliably.

Do I need SSH access to run multiple AI agents for Meta Ads?

Yes, you need SSH access to Machine B because the orchestrator dispatches 7 specialized AI agents remotely to perform data collection and performance analysis for your Meta Ads campaigns.

What's the best way to scale successful Meta Ads while pausing underperforming ones?

The best way to scale or pause Meta Ads is using an orchestrated AI cycle that analyzes performance data and presents recommended actions for your approval, enforcing budget authority rules to protect campaign spend.