Ads — Multi-Platform Paid Advertising Audit & Optimization

Comprehensive ad account analysis across all major platforms (Google, Meta,

LinkedIn, TikTok, Microsoft). Orchestrates 12 specialized sub-skills and

6 subagents.

Quick Reference

Command

What it does

/ads audit

Full multi-platform audit with parallel subagent delegation

/ads google

Google Ads deep analysis (Search, PMax, YouTube)

/ads meta

Meta Ads deep analysis (FB, IG, Advantage+)

/ads youtube

YouTube Ads specific analysis

/ads linkedin

LinkedIn Ads deep analysis (B2B, Lead Gen)

/ads tiktok

TikTok Ads deep analysis (Creative, Shop, Smart+)

/ads microsoft

Microsoft/Bing Ads deep analysis (Copilot, Import)

/ads creative

Cross-platform creative quality audit

/ads landing

Landing page quality assessment for ad campaigns

/ads budget

Budget allocation and bidding strategy review

/ads plan

Strategic ad plan with industry templates

/ads competitor

Competitor ad intelligence analysis

Orchestration Logic

When the user invokes

/ads audit

, delegate to subagents in parallel:

Collect account data (exports, screenshots, or API access details)

Detect business type and identify active platforms

Spawn subagents: audit-google, audit-meta, audit-creative, audit-tracking, audit-budget, audit-compliance

Collect results and generate unified report with Ads Health Score (0-100)

Create prioritized action plan with Quick Wins

For individual commands (

/ads google

,

/ads meta

, etc.), load the relevant

sub-skill directly.

Industry Detection

Detect business type from ad account signals:

SaaS

trial_start/demo_request events, pricing page targeting, long attribution windows

E-commerce

purchase events, product catalog/feed, Shopping/PMax campaigns

Local Service

call extensions, location targeting, store visits, directions events

B2B Enterprise

LinkedIn Ads active, ABM lists, high CPA tolerance ($50+), long sales cycle

Info Products

webinar/course funnels, lead gen forms, low-ticket offers

Mobile App

app install campaigns, in-app events, deep linking

Real Estate

listing feeds, property-specific landing pages, geo-heavy targeting

Healthcare

HIPAA compliance flags, healthcare-specific ad policies

Finance

Special Ad Categories declared, financial products compliance

Agency

multiple client accounts, white-label reporting needs

Quality Gates

Hard rules — never violate these:

Never recommend Broad Match without Smart Bidding (Google)

3x Kill Rule: flag any ad group/campaign with CPA >3x target for pause

Budget sufficiency: Meta ≥5x CPA per ad set, TikTok ≥50x CPA per ad group

Learning phase: never recommend edits during active learning phase

Compliance: always check Special Ad Categories for housing/employment/credit/finance

Creative: never run silent video ads on TikTok (sound-on platform)

Attribution: default to 7-day click / 1-day view (Meta), data-driven (Google)

Reference Files

Load these on-demand as needed — do NOT load all at startup.

Path resolution:

All references are installed at

~/.claude/skills/ads/references/

.

When sub-skills or agents reference

ads/references/*.md

, resolve to

~/.claude/skills/ads/references/*.md

.

references/scoring-system.md

— Weighted scoring algorithm and grading thresholds

references/benchmarks.md

— Industry benchmarks by platform (CPC, CTR, CVR, ROAS)

references/bidding-strategies.md

— Bidding decision trees per platform

references/budget-allocation.md

— Platform selection matrix, scaling rules, MER

references/platform-specs.md

— Creative specifications across all platforms

references/conversion-tracking.md

— Pixel, CAPI, EMQ, ttclid implementation

references/compliance.md

— Regulatory requirements, ad policies, privacy

references/google-audit.md

— 74-check Google Ads audit checklist

references/meta-audit.md

— 46-check Meta Ads audit checklist

references/linkedin-audit.md

— 25-check LinkedIn Ads audit checklist

references/tiktok-audit.md

— 25-check TikTok Ads audit checklist

references/microsoft-audit.md

— 20-check Microsoft Ads audit checklist

Scoring Methodology

Ads Health Score (0-100)

Per-platform score using weighted algorithm from

references/scoring-system.md

.

Cross-platform aggregate weighted by budget share:

Aggregate = Sum(Platform_Score x Platform_Budget_Share)

Grading

Grade

Score

Action Required

A

90-100

Minor optimizations only

B

75-89

Some improvement opportunities

C

60-74

Notable issues need attention

D

40-59

Significant problems present

F

<40

Urgent intervention required

Priority Levels

Critical

Revenue/data loss risk (fix immediately)

High

Significant performance drag (fix within 7 days)

Medium

Optimization opportunity (fix within 30 days)

Low

Best practice, minor impact (backlog) Sub-Skills This skill orchestrates 12 specialized sub-skills: ads-audit — Full multi-platform audit with parallel delegation ads-google — Google Ads deep analysis (Search, PMax, YouTube) ads-meta — Meta Ads deep analysis (FB, IG, Advantage+) ads-youtube — YouTube Ads specific analysis ads-linkedin — LinkedIn Ads deep analysis ads-tiktok — TikTok Ads deep analysis ads-microsoft — Microsoft/Bing Ads deep analysis ads-creative — Cross-platform creative quality audit ads-landing — Landing page quality for ad campaigns ads-budget — Budget allocation and bidding strategy ads-plan — Strategic ad planning with industry templates ads-competitor — Competitor ad intelligence Subagents For parallel analysis during full audits: audit-google — Google Ads checks (G01-G74) audit-meta — Meta Ads checks (M01-M46) audit-creative — Creative quality for LinkedIn, TikTok, Microsoft audit-tracking — Conversion tracking health across all platforms audit-budget — Budget, bidding, structure for LinkedIn, TikTok, Microsoft audit-compliance — Compliance, settings, performance across all platforms