ads

Orchestrate paid advertising audits and optimizations across multiple platforms.

Updated May 24, 2026
One-click install
npx skills add https://github.com/TarzanGhimire/Claude-Ads-Skill --skill ads-tarzanghimire
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads
Source: https://github.com/TarzanGhimire/Claude-Ads-Skill/tree/main/ads
Command: npx skills add https://github.com/TarzanGhimire/Claude-Ads-Skill --skill ads-tarzanghimire

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive audit and optimization tool for paid advertising across various platforms, streamlining the process and saving time for PPC agencies, in-house marketers, and freelance ad consultants.

Core Features & Use Cases

  • Multi-platform Audit: Analyze and score ad accounts across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon Ads.
  • Parallel Sub-agent Delegation: Conduct parallel audits with specialized sub-agents for deep analysis.
  • AI-powered Creative Generation: Generate ad creatives using AI for enhanced campaign effectiveness.
  • Budget Allocation and Bidding Strategy: Provide insights for optimal budget allocation and bidding strategies.
  • Use Case: Use the /ads audit command to get a full multi-platform audit of an ad account and receive a prioritized action plan.

Quick Start

Use the ads skill to audit your Google Ads account with the command: /ads audit.

Frequently Asked Questions about ads

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

FAQPage Schema
How do I conduct a multi-platform PPC audit across Google and Meta Ads?

To conduct a multi-platform PPC audit, use the `/ads audit` command to analyze and score ad accounts across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon Ads. The process utilizes parallel sub-agent delegation to deliver a prioritized action plan for account optimization.

What is ad optimization and how does parallel sub-agent delegation improve account analysis?

Ad optimization is the process of improving campaign effectiveness through budget allocation and bidding strategies. Parallel sub-agent delegation improves account analysis by deploying specialized AI agents for deep platform analysis, automating tasks like creative generation and comprehensive multi-platform scoring.

Can I use Python with pandas and numpy for paid advertising data analysis?

Yes, you can use Python with pandas and numpy for paid advertising data analysis. The Skill leverages these dependencies to orchestrate audits, handle context intake for personalized benchmarks, and process complex datasets for optimal budget allocation and bidding strategy recommendations.

Does AI-powered creative generation work for TikTok and YouTube ad campaigns?

Yes, AI-powered creative generation works for TikTok and YouTube ad campaigns. The Skill automates creative generation using AI to enhance campaign effectiveness across all supported platforms, including TikTok, YouTube, Google, Meta, LinkedIn, Microsoft, Apple, and Amazon Ads.

What is the best way to score ad accounts and prioritize optimization tasks?

The best way to score ad accounts and prioritize optimization tasks is through an orchestrated multi-platform audit. By utilizing AI for enhanced analysis and requiring context intake for personalized benchmarks, the system generates a prioritized action plan based on deep platform analysis.