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Comprehensive paid advertising audit and optimization for any business type. Performs full multi-platform audits (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads), single-platform deep analysis, conversion tracking health checks, creative quality assessment, budget allocation optimization, bidding strategy evaluation, and compliance verification. Industry detection for SaaS, e-commerce, local service, B2B enterprise, info products, mobile app, real estate, healthcare, finance, and agency. Triggers on: "ads", "PPC", "paid advertising", "Google Ads", "Meta Ads", "Facebook Ads", "LinkedIn Ads", "TikTok Ads", "Microsoft Ads", "Bing Ads", "ad audit", "campaign audit", "ROAS", "conversion tracking", "creative fatigue", "bid strategy".

Install with Tessl CLI

npx tessl i github:AgriciDaniel/claude-ads --skill ads
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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

CommandWhat it does
/ads auditFull multi-platform audit with parallel subagent delegation
/ads googleGoogle Ads deep analysis (Search, PMax, YouTube)
/ads metaMeta Ads deep analysis (FB, IG, Advantage+)
/ads youtubeYouTube Ads specific analysis
/ads linkedinLinkedIn Ads deep analysis (B2B, Lead Gen)
/ads tiktokTikTok Ads deep analysis (Creative, Shop, Smart+)
/ads microsoftMicrosoft/Bing Ads deep analysis (Copilot, Import)
/ads creativeCross-platform creative quality audit
/ads landingLanding page quality assessment for ad campaigns
/ads budgetBudget allocation and bidding strategy review
/ads plan <business-type>Strategic ad plan with industry templates
/ads competitorCompetitor ad intelligence analysis

Orchestration Logic

When the user invokes /ads audit, delegate to subagents in parallel:

  1. Collect account data (exports, screenshots, or API access details)
  2. Detect business type and identify active platforms
  3. Spawn subagents: audit-google, audit-meta, audit-creative, audit-tracking, audit-budget, audit-compliance
  4. Collect results and generate unified report with Ads Health Score (0-100)
  5. 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

GradeScoreAction Required
A90-100Minor optimizations only
B75-89Some improvement opportunities
C60-74Notable issues need attention
D40-59Significant problems present
F<40Urgent 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:

  1. ads-audit — Full multi-platform audit with parallel delegation
  2. ads-google — Google Ads deep analysis (Search, PMax, YouTube)
  3. ads-meta — Meta Ads deep analysis (FB, IG, Advantage+)
  4. ads-youtube — YouTube Ads specific analysis
  5. ads-linkedin — LinkedIn Ads deep analysis
  6. ads-tiktok — TikTok Ads deep analysis
  7. ads-microsoft — Microsoft/Bing Ads deep analysis
  8. ads-creative — Cross-platform creative quality audit
  9. ads-landing — Landing page quality for ad campaigns
  10. ads-budget — Budget allocation and bidding strategy
  11. ads-plan — Strategic ad planning with industry templates
  12. 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
Repository
github.com/AgriciDaniel/claude-ads
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