Google Ads deep analysis covering Search, Performance Max, Display, YouTube, and Demand Gen campaigns. Evaluates 74 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings.
SkillScore91Maintained
Automatic
◆Marketing & Content pack
Last verified 8/28/2026
What it changes
Passed 20 of 22 test cases with the skill, and 9 of 22 without it.
Without skill41%
With skill91%
Checks it passed that the model alone missed
Marks Quality Score 4 as FAIL
Assigns 10% weight to Settings
Classifies $6.50 CPC as WARNING
and 12 more in the full report
11 fixed9 passed either way2 still failing0 broke
Pass-rate lift
+50 pp
Tokens
+68%
Agent turns
0%
Response time
+13%
Model gemini-3.6-flashMeasured 8/28/2026v120 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 11
Prompt
What percentage weight is assigned to the Settings pillar in the 100-point account health score calculation?
What was checked, without and with the skill
Checked
Without skill
With skill
Assigns 10% weight to Settings
Missed
Passed
case-19 · gemini-3.6-flash · 8/28/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md115 linessingle file
/ads google — Google Ads Deep Analysis
Comprehensive 74-check audit of Google Ads accounts across all campaign types.
Usage
/ads google
/ads google --focus pmax
Process
Collect Google Ads account data (export, Change History, Search Terms Report)
Evaluate all applicable checks as PASS, WARNING, or FAIL
Calculate Google Ads Health Score (0-100)
Generate findings report with action plan
What to Analyze
Conversion Tracking (25% weight)
Google tag (gtag.js) installed and firing on all pages
Enhanced Conversions active (hashed first-party data)
Consent Mode v2 implemented (required for EU/EEA)
Conversion actions mapped correctly (primary vs secondary)
Offline conversion import configured (for lead gen)
Server-side tagging via GTM (recommended for accuracy)
Attribution model: data-driven preferred (last-click as fallback only)
Conversion lag analysis (are conversions still trickling in?)
Wasted Spend (20% weight)
Search Terms Report reviewed (last 30 days minimum)