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description: "Provides expert-level analysis and diagnosis for Google Ads campaigns. Use this skill to interpret performance data via GAQL, diagnose Quality Score and Impression Share issues, evaluate Smart Bidding and Performance Max campaigns, and generate actionable recommendations. Use when the user mentions Google Ads analysis, GAQL queries, Quality Score, Impression Share, PMax, Smart Bidding, ROAS, CPA, search terms, negative keywords, or asks to analyze Google Ads data."

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Stars
50
Forks
13
Updated
March 10, 2026
Quality score
29

Why use this skill

skill is most useful when you want an agent workflow that is more structured than an ad-hoc prompt. Instead of restating the same expectations every time, a dedicated SKILL.md file gives the assistant a repeatable brief. In this case, the core value is clarity: the repo already frames the workflow around backend skills tasks, and the skill source gives you a portable starting point you can evaluate, adapt, and reuse. The inferred platform for this skill is Claude Code Skills, which helps you judge whether it is likely to feel native in your current agent ecosystem or whether it is better treated as a general reference.

That matters because AI assistants are better when the operating context is explicit. A good skill turns hidden team expectations into visible instructions. It can name preferred tools, describe failure modes, define what “done” looks like, and reduce the amount of corrective prompting you need after the first draft. For developers exploring the wider SKILL.md ecosystem, this page helps answer the practical question: is this skill specific and maintained enough to be worth trying?

How to evaluate and use it

Start with the source repo and the preview below. The preview tells you whether the instructions are actionable or just aspirational. Strong skills usually describe triggers, recommended tools, steps, and known pitfalls. Weak skills tend to stay generic. This one lives in mathiaschu/google-ads-analyzer, which gives you a concrete repo context, update history, and direct ownership trail.

Once you confirm the scope looks right, test it on a small task before making it part of a larger workflow. If it improves consistency, keep it. If it is too broad, outdated, or conflicts with your own process, treat it as a reference rather than a drop-in rule. That is the healthiest way to use directory-discovered skills: not as magic plugins, but as reusable operational knowledge that still deserves judgment.

SKILL.md preview

Previewing the source is one of the fastest ways to judge whether a skill is truly useful. This snippet comes from the public file in the linked repository.

---
name: google-ads-analyzer
description: "Provides expert-level analysis and diagnosis for Google Ads campaigns. Use this skill to interpret performance data via GAQL, diagnose Quality Score and Impression Share issues, evaluate Smart Bidding and Performance Max campaigns, and generate actionable recommendations. Use when the user mentions Google Ads analysis, GAQL queries, Quality Score, Impression Share, PMax, Smart Bidding, ROAS, CPA, search terms, negative keywords, or asks to analyze Google Ads data."
---

# Google Ads Analysis & Diagnosis Skill

## When to Use This Skill

Use this skill when you need to **analyze, diagnose, and manage Google Ads campaigns**, including:
- Interpreting campaign, ad group, or keyword-level performance data
- Running GAQL queries to pull metrics from the Google Ads API
- Diagnosing Quality Score, Impression Share, and Smart Bidding issues
- Evaluating Performance Max campaigns (asset groups, signals, feed quality)
- Analyzing search term reports and negative keyword coverage
- Generating structured analysis reports with actionable recommendations
- Managing campaigns: pause/enable campaigns, ad groups, and ads
- Updating budgets and bidding strategies
- Adding negative keywords based on search term analysis

## Result Recommendations (MANDATORY for Final Reports)

> **IMPORTANT:** The following rules are **MANDATORY** and **MUST be strictly followed** when writing the final analysis report. These are not optional guidelines — they define the required standards for all deliverables.

- **ALWAYS divide `cost_micros` by 1,000,000** to get

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