# Ads Google

Audit Google Ads measurement, Search, Shopping, Performance Max, Demand Gen...

- Repository: https://github.com/AgriciDaniel/claude-ads (10652 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add AgriciDaniel/claude-ads --skill ads-google -g -a claude-code -y`
Codex: `npx skills add AgriciDaniel/claude-ads --skill ads-google -g -a codex -y`
Cursor: `npx skills add AgriciDaniel/claude-ads --skill ads-google -g -a cursor -y`
Gemini CLI: `npx skills add AgriciDaniel/claude-ads --skill ads-google -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add AgriciDaniel/claude-ads`

## Description

Audit Google Ads measurement, Search, Shopping, Performance Max, Demand Gen, YouTube-linked inventory, keywords and search terms, negative-keyword generation or review, creative assets, bidding, budgets, settings, and policy. Use for Google Ads, AdWords, Search campaigns, search terms reports, broad negatives, Shopping, Performance Max, PMax, Demand Gen, GAQL, or Google conversion tracking. Read-only; use ads-optimize to change campaigns.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Google Ads Audit

## Procedure

1. Read the main `ads` operating contract and thinking framework.
2. Collect objective, conversion definition, account and campaign age, geography,
   date window, timezone, currency, spend, targets, and available data sources.
3. Read `ads/references/google-audit.md` (resolve it from the plugin root, the directory that holds `ads/` and `skills/`, or from the skills directory in a standalone install) and only the relevant shared measurement,
   benchmark, creative, automation, policy, and scoring references. Read
   `ads/references/gaql-notes.md` before building keyword, negative-keyword, or
   search-term evidence from an API, MCP server, or export.
4. Normalize inputs and retain lineage to each export, screenshot, API result, or
   manual value.
5. Evaluate applicable controls covering measurement, search terms and waste, account structure, keywords, creative assets, bidding and budgets, settings, eligibility, and policy.
6. Separate observations, diagnoses, recommendations, opportunities, and proposed
   mutations. Mark uncertainty and contradictions.
7. Return schema-valid findings to the conductor. Do not calculate final scores in
   the prompt or write a shared result file.
8. Render a platform report only from the validated JSON run bundle.

## Boundaries

The rest: https://github.com/AgriciDaniel/claude-ads/blob/HEAD/skills/ads-google/SKILL.md