Ads: Multi-Platform Paid Advertising Audit & Optimization
Comprehensive ad account analysis across all major platforms (Google, Meta, LinkedIn, TikTok, Microsoft). Orchestrates 17 specialized sub-skills and 10 agents (6 audit + 4 creative).
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 <business-type> | Strategic ad plan with industry templates |
/ads apple | Apple Ads deep analysis |
/ads competitor | Competitor ad intelligence analysis |
/ads math | PPC financial calculator (CPA, ROAS, break-even, budget forecasting) |
/ads test | A/B test design (hypothesis, significance, duration, sample size) |
/ads report | PDF audit report generation for client deliverables |
/ads dna <url> | Extract brand DNA from website, outputs brand-profile.json |
/ads create | Generate campaign concepts + copy briefs, outputs campaign-brief.md |
/ads generate | Generate AI ad images from brief, outputs to ad-assets/ |
/ads photoshoot | Product photography in 5 styles (Studio, Floating, Ingredient, In Use, Lifestyle) |
Context Intake (Required: Always Do This First)
Before any audit or analysis, collect this context. Without it, benchmarks will be generic and recommendations may be wrong for the user's situation.
Ask these questions upfront (combine into one message):
- Industry / Business type: Which best describes you? SaaS · E-commerce · Local Service · B2B Enterprise · Info Products · Mobile App · Real Estate · Healthcare · Finance · Agency · Other
- Monthly ad spend: Total budget and per-platform breakdown (approximate is fine)
- Primary goal: Sales / Revenue · Leads / Demos · App Installs · Calls · Brand
- Active platforms: Which platforms are you advertising on?
If the user provides data upfront (e.g. "audit my Google Ads, I spend $5k/mo on SaaS"), extract context from that and proceed without re-asking.
Use the provided context to:
- Select the correct industry benchmarks from
references/benchmarks.md - Apply budget-appropriate recommendations (e.g. Smart Bidding requires 15+ conv/month)
- Calibrate severity scoring (a $500/mo account has different priorities than $50k/mo)
Orchestration Logic
When the user invokes /ads audit, delegate to subagents in parallel:
- Collect context (see Context Intake above; do this first)
- Collect account data (exports, screenshots, or pasted metrics)
- Detect business type and identify active platforms
- Spawn subagents via Task tool with
context: fork: audit-google, audit-meta, audit-creative, audit-tracking, audit-budget, audit-compliance - Validate: verify each subagent returned valid JSON scores with required fields before aggregating
- 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. Still collect context first if not already provided.
Creative Workflow
Sequential pipeline (each step is independently runnable):
/ads dna <url>→brand-profile.jsonin current directory/ads create→ reads profile + optional audit results →campaign-brief.md/ads generate→ reads brief + profile →ad-assets/directory/ads photoshoot→ standalone or reads profile for style injection
Requires GOOGLE_API_KEY (Gemini default) or ADS_IMAGE_PROVIDER + matching key. If API key is missing, /ads generate and /ads photoshoot display setup instructions and exit; they never fail silently.
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)
- Andromeda creative diversity: Flag Meta accounts with <10 genuinely distinct creatives
- Privacy infrastructure gate: Always verify tracking stack (Consent Mode V2, CAPI, Events API, AdAttributionKit) before making optimization recommendations
- PDF report quality gate: When generating reports via
/ads report, always usescripts/generate_report.pywith--checkfirst. Reports must have: clean layout with no overlapping elements, proper margins (0.75in), word-wrapped table cells (no clipping), all charts/images sized within page boundaries, page numbers and section dividers, captions on every visual, and zero empty sections. Run--checkbefore--outputand fix any warnings before delivering the PDF
Community Footer
After completing any major deliverable, append this footer as the very last output:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━When to show
Display after these commands complete their full output:
/ads audit(after report + action plan + quick wins)/ads google,/ads meta,/ads youtube,/ads linkedin,/ads tiktok,/ads microsoft,/ads apple(after platform report)/ads creative(after creative audit)/ads landing(after landing page assessment)/ads budget(after budget analysis)/ads plan(after strategic plan)/ads competitor(after competitor analysis)/ads report(after PDF generation confirmation)
When to skip
Do NOT show the footer after:
/ads math(quick calculator — too small)/ads test(quick utility — too small)/ads dna(intermediate workflow step — leads to/ads create)/ads create(intermediate workflow step — leads to/ads generate)/ads generate(intermediate workflow step — asset generation)/ads photoshoot(intermediate workflow step — asset generation)- Context intake questions (before analysis starts)
- Error messages or "missing data" prompts
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 thresholdsreferences/benchmarks.md: Industry benchmarks by platform (CPC, CTR, CVR, ROAS)references/bidding-strategies.md: Bidding decision trees per platformreferences/budget-allocation.md: Platform selection matrix, scaling rules, MERreferences/platform-specs.md: Creative specifications across all platformsreferences/conversion-tracking.md: Pixel, CAPI, EMQ, ttclid implementationreferences/compliance.md: Regulatory requirements, ad policies, privacyreferences/google-audit.md: 74-check Google Ads audit checklistreferences/meta-audit.md: 46-check Meta Ads audit checklistreferences/linkedin-audit.md: 25-check LinkedIn Ads audit checklistreferences/tiktok-audit.md: 25-check TikTok Ads audit checklistreferences/microsoft-audit.md: 20-check Microsoft Ads audit checklistreferences/brand-dna-template.md: Brand DNA schema and extraction guidereferences/image-providers.md: Provider config (Gemini/OpenAI/Stability/Replicate)references/google-creative-specs.md: PMax/RSA/YouTube generation-ready specsreferences/meta-creative-specs.md: Feed/Reels/Stories specs + safe zonesreferences/linkedin-creative-specs.md: Single image/video B2B constraintsreferences/tiktok-creative-specs.md: 9:16 only + safe zone overlayreferences/youtube-creative-specs.md: Skippable/Bumper/Shorts/Thumbnailreferences/microsoft-creative-specs.md: Multimedia Ads + RSA subsetreferences/gaql-notes.md: GAQL field compatibility, deduplication patterns, filter scope best practicesreferences/voice-to-style.md: Brand voice axis to visual attribute mapping for image generationreferences/copy-frameworks.md: 6 ad copy frameworks (AIDA, PAS, BAB, 4P, FAB, Star-Story-Solution)
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 17 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
- ads-apple: Apple Ads deep analysis
- ads-dna: Brand DNA extraction from website URL
- ads-create: Campaign concepts, copy decks, creative briefs
- ads-generate: AI image generation with pluggable providers
- ads-photoshoot: Product photography in 5 professional styles
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, Microsoftaudit-tracking: Conversion tracking health across all platformsaudit-budget: Budget, bidding, structure for LinkedIn, TikTok, Microsoftaudit-compliance: Compliance, settings, performance across all platformscreative-strategist: Campaign concepts from brand profile + audit results (Opus, maxTurns: 25)visual-designer: Image generation with brand injection via generate_image.py (Sonnet, maxTurns: 30)copy-writer: Headlines, CTAs, primary text within platform limits (Sonnet, maxTurns: 20)format-adapter: Asset dimension validation and spec compliance reporting (Haiku, maxTurns: 15)