thalesholleben

Skill Google Ads — AI skill for Claude Code

AI community

Claude Code and Codex skill for advanced Google Ads strategy, Smart Bidding, AI Max, keyword research, GAQL, and PPC reporting.

How to install Skill Google Ads

This entry records only its repository, not the path inside it, so there is no exact command to give. Open thalesholleben/skill-google-ads and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Skill Google Ads does

Claude Code and Codex skill for advanced Google Ads strategy, Smart Bidding, AI Max, keyword research, GAQL, and PPC reporting.

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README

Claude Code + Codex Google Ads Skill

Advanced Google Ads management skill for Claude Code, Codex, and AI coding agents: strategy, Smart Bidding, AI Max, keyword research, auction analysis, A/B testing, campaign creation, continuous optimization, GAQL templates, and Python-based `.docx` reporting.

Built for 2026: decision-driven, not checklist-driven.

Public repo: https://github.com/thalesholleben/skill-google-ads

Why this exists

Most Google Ads prompts produce generic PPC advice. This repository packages practical 2026 Google Ads operating knowledge into agent-readable Markdown files and local Python scripts, so an AI agent can load the right context before advising on accounts, campaigns, keywords, experiments, or reports.

Use it as a reusable skill for:

Claude Code Google Ads strategy work
Codex Google Ads analysis and automation support
AI agent PPC audits, keyword research, and campaign planning
Google Ads reporting workflows with .docx outputs

What this skill does

This skill turns an AI coding agent into a senior Google Ads strategist. Instead of generic advice, it delivers:

Account diagnosis - reads CSVs and identifies what is broken, why it happened, and what to fix first
Campaign creation - structured plans, RSAs, negatives, extensions, and launch criteria
Smart Bidding guidance - when to use tCPA, tROAS, Maximize Conversions, and how to avoid resetting learning
Keyword research - intent mapping, match type decisions, and n-gram analysis of search terms
Auction Insights interpretation - competitive pressure signals and recommended actions
A/B test design - statistically valid experiment plans with clear success criteria
Monthly report generation - two Python scripts that produce branded .docx reports