Ads google

Skill naveedharri/benai-skills/shared-skills/ads-google

Install

npx -y skills add naveedharri/benai-skills --skill ads-google

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

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. Use when user says "Google Ads", "Google PPC", "search ads", "PMax", "Performance Max", or "Google campaign".

SKILL.md

5.1 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

Google Ads Deep Analysis

Process

Collect Google Ads account data (export, Change History, Search Terms Report)
Read ads/references/google-audit.md for full 74-check audit
Read ads/references/benchmarks.md for Google-specific benchmarks
Read ads/references/scoring-system.md for weighted scoring
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)
Negative keyword coverage adequate (shared lists + campaign-level)
Display placement audit (exclude low-quality sites)
Invalid click rate within norms (<10%)
Broad Match only used with Smart Bidding (NEVER without it)
Brand/non-brand campaigns separated
Geographic targeting precise (no wasted international spend)

Account Structure (15% weight)

Campaign-level organization follows business logic
Ad groups themed tightly (15-20 keywords max per group)
RSA ad groups have ≥3 active ads
PMax campaigns structured correctly (asset groups, signals)
SKAGs evaluated (migrate to themed groups if present)
Campaign labels/naming conventions consistent

Keywords (15% weight)

Match type strategy appropriate (Exact → Phrase → Broad progression)
Quality Score distribution (aim ≥7 average)
Low QS keywords flagged (<5 = FAIL, 5-6 = WARNING)
Keyword cannibalization check (same keywords in multiple campaigns)
Impression share tracked for top keywords
Keyword bid adjustments set for devices/locations/audiences

Ads (15% weight)

RSA: ≥8 unique headlines, ≥3 descriptions per ad group
RSA: ad strength "Good" or "Excellent" (not "Poor" or "Average")
Pin usage minimal and strategic (over-pinning reduces RSA flexibility)
Ad extensions: sitelinks (≥4), callouts (≥4), structured snippets, image
Dynamic keyword insertion used appropriately
Ad copy includes CTA, value proposition, differentiators

Settings (10% weight)

Bid strategy appropriate for campaign maturity and goals
Budget pacing: no campaigns limited by budget (unless intentional)
Ad schedule aligned with business hours/conversion patterns
Device bid adjustments set based on performance data
Location targeting: "Presence" not "Presence or Interest"
Network settings: Search Partners reviewed, Display opt-out for Search

PMax Deep Dive

If Performance Max campaigns exist, additionally evaluate:

Asset group diversity (text, images, video, feeds)
Audience signals configured (custom segments, lists, demographics)
URL expansion settings reviewed (opt-out of irrelevant pages)
Brand exclusions applied (prevent cannibalizing brand search)
Search themes utilized (2024 feature)
Final URL expansion: enabled or disabled with justification
Insights tab reviewed (search categories, audience segments)

AI Max for Search (2026)

If AI Max for Search is available/active:

Broad Match + AI Max integration evaluated
Auto-generated headline performance monitored
Search term categories reviewed for relevance
Budget impact assessed (AI Max can shift spend)

Key Thresholds

Metric	Pass	Warning	Fail
Quality Score (avg)	≥7	5-6	<5
CTR (Search)	≥6.66%	3-6.66%	<3%
CVR (Search)	≥7.52%	3-7.52%	<3%
CPC (Search)	≤$5.26	$5.26-8.00	>$8.00
Wasted Spend	<10%	10-20%	>20%
Ad Strength	Good+	Average	Poor
Invalid Clicks	<5%	5-10%	>10%

Output

Google Ads Health Score

Google Ads Health Score: XX/100 (Grade: X)

Conversion Tracking: XX/100  ████████░░  (25%)
Wasted Spend:        XX/100  ██████████  (20%)
Account Structure:   XX/100  ███████░░░  (15%)
Keywords:            XX/100  █████░░░░░  (15%)
Ads:                 XX/100  ████████░░  (15%)
Settings:            XX/100  ██████████  (10%)

Deliverables

GOOGLE-ADS-REPORT.md — Full 74-check findings with pass/warning/fail
Wasted spend estimate (monthly $ value)
Quick Wins sorted by impact
PMax-specific recommendations (if applicable)
Keyword health matrix with QS, CTR, CVR per keyword group

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most audit compliance skills give in ~1.2k tokens

Counted across 937 of the 1,487 authors here whose files we hold, read 2026-08-07

Fetch latest guidelines before each reviewin 43 of 937, across 3 files
Group findings by severityin 43 of 937
Check files against all fetched rulesin 42 of 937, across 2 files
Output findings in terse file:line formatin 41 of 937, across 3 files
Ask user which files to review if none specifiedin 41 of 937, across 3 files
Read specified files or prompt user for filesin 39 of 937, across 1 file
Generate the audit reportin 33 of 937, across 30 files
Assign a severity to every findingin 25 of 937
Run automated accessibility scansin 23 of 937, across 13 files
Output a markdown audit reportin 22 of 937
Map findings to WCAG criteriain 20 of 937, across 10 files
Confirm audit scopein 19 of 937, across 9 files

Said here and by no other author read

Evaluate campaign structure
read the microsoft audit reference
collect google ads account data
read the benchmarks reference
read the scoring system reference
generate a findings report with an action plan

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.