// Multi-platform paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon Ads. 250+ checks with scoring, parallel agents, industry templates, AI creative generation, attribution and server-side tracking deep dives.
Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads, and Apple Ads accounts via 6 parallel audit agents. Amazon Ads, cross-platform attribution, and server-side tracking are covered by their standalone sub-skills (ads-amazon, ads-attribution, ads-server-side-tracking) — Wave 3 will add their paired agents so they can dispatch in parallel here. Generates health score per platform and aggregate score (0-100). Use when user says audit, full ad check, analyze my ads, account health check, paid media audit, paid advertising audit, ad spend audit, advertising audit, or PPC audit.
Campaign concept and copy brief generator for paid advertising. Reads brand-profile.json and optional audit results to produce structured campaign concepts, messaging pillars, and copy briefs. Outputs campaign-brief.md to the current directory. Run after /ads dna and before /ads generate. Triggers on: create campaign, campaign brief, ad concepts, write ad copy, campaign strategy, ad messaging, creative brief, generate concepts.
Brand DNA extractor for paid advertising. Scans a website URL to extract visual identity, tone of voice, color palette, typography, and imagery style. Outputs brand-profile.json to the current directory. Run before /ads create or /ads generate for brand-consistent creative. Triggers on: brand DNA, brand profile, extract brand, brand identity, brand colors, what is the brand voice, analyze brand, brand style guide.
Strategic paid advertising planning with industry-specific templates. Covers platform selection, campaign architecture, budget planning, creative strategy, and phased implementation roadmap. Use when user says ad plan, ad strategy, campaign planning, media plan, PPC strategy, or advertising plan.
Apple Ads (formerly Apple Search Ads) deep analysis for mobile app advertisers. Evaluates campaign structure, bid health, Custom Product Pages (CPPs), AdAttributionKit (view-through attribution 24h post-impression), MMP attribution, budget pacing, TAP coverage (Today/Search/Product Pages), Maximize Conversions bidding, and goal CPA benchmarks by country. Use when user says Apple Ads, Apple Search Ads, ASA, App Store ads, Apple ads, Search Ads, AdAttributionKit, view-through attribution, or is advertising a mobile app on iOS.
Budget allocation and bidding strategy review across all ad platforms. Evaluates spend distribution, bidding strategy appropriateness, scaling readiness, and identifies campaigns to kill or scale. Uses 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Use when user says budget allocation, bidding strategy, ad spend, ROAS target, media budget, or scaling.
| name | ads |
| description | Multi-platform paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon Ads. 250+ checks with scoring, parallel agents, industry templates, AI creative generation, attribution and server-side tracking deep dives. |
| argument-hint | audit | google | meta | youtube | linkedin | tiktok | microsoft | apple | amazon | attribution | tracking | creative | landing | budget | plan <type> | competitor | math | test | report | dna <url> | create | generate | photoshoot |
| license | MIT |
| tested_date | "2026-05-17T00:00:00.000Z" |
| tested_with | claude-code v2.x |
Comprehensive ad account analysis across all major platforms (Google, Meta, LinkedIn, TikTok, Microsoft, Apple, Amazon). Orchestrates 22 specialized sub-skills and 10 agents (6 audit + 4 creative).
| 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 amazon | Amazon Ads deep analysis (Sponsored Products / Brands / Display, ACOS / TACOS) |
/ads attribution | Cross-platform attribution audit (AdAttributionKit, GA4, Consent Mode V2, MMP) |
/ads tracking | Server-side tracking pipeline audit (sGTM, CAPI Gateway, dedup, hit ratio) |
/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) |
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):
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:
references/benchmarks.mdEvery command in this skill operates under a shared thinking discipline: OBSERVE × 2 (External + Internal) → LISTEN → THINK → CONNECT × 2 (Lateral + System) → FEEL → ACCEPT → CREATE → GROW.
Before producing any audit, plan, or creative output, load
references/thinking-framework.md and let it shape the analysis — not as a
checklist, but as a mindset gate. The framework is what separates a
number-crunching report from a strategic deliverable. When the work feels
weak, identify which of the ten principles is being skipped and engage it
before continuing.
When the user invokes /ads audit, delegate to subagents in parallel:
context: fork: audit-google, audit-meta, audit-creative, audit-tracking, audit-budget, audit-complianceFor individual commands (/ads google, /ads meta, /ads amazon,
/ads attribution, /ads tracking, etc.), load the relevant sub-skill
directly. Still collect context first if not already provided.
Wave 2 sub-skills run standalone (no dedicated agent yet): ads-amazon,
ads-attribution, and ads-server-side-tracking. See the Wave 3 backlog at
the bottom of the Subagents section for the planned paired audit agents.
Sequential pipeline (each step is independently runnable):
/ads dna <url> → brand-profile.json in 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 injectionRequires 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.
Detect business type from ad account signals:
Hard rules (never violate these):
/ads report, always use scripts/generate_report.py with --check first. 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 --check before --output and fix any warnings before delivering the PDFAfter completing any major deliverable, append this footer as the very last output:
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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, /ads amazon (after platform report)/ads attribution (after cross-platform attribution audit)/ads tracking (after server-side tracking pipeline audit)/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)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)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/thinking-framework.md: 10-Principle Thinking Framework (OBSERVE/LISTEN/THINK/CONNECT/FEEL/ACCEPT/CREATE/GROW) — load before any audit, plan, or creative outputreferences/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: 80-check Google Ads audit checklist (G01-G61 + 19 hyphenated v1.5+ checks; verified via tests/fixtures/check-catalog.yaml)references/meta-audit.md: 50-check Meta Ads audit checklist (M01-M40 + 10 hyphenated v1.5+ checks)references/linkedin-audit.md: 27-check LinkedIn Ads audit checklist (L01-L25 + 2 hyphenated v1.5+ checks)references/tiktok-audit.md: 28-check TikTok Ads audit checklist (T01-T25 + 3 hyphenated v1.5+ checks)references/microsoft-audit.md: 24-check Microsoft Ads audit checklist (MS01-MS20 + 4 hyphenated v1.5+ checks)references/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)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)
| 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 |
This skill orchestrates 22 specialized sub-skills:
For parallel analysis during full audits:
audit-google: Google Ads checks (G01-G61 + 19 hyphenated v1.5+ IDs = 80 total; incl. AI Max)audit-meta: Meta Ads checks (M01-M40 + 10 hyphenated v1.5+ IDs = 50 total; incl. Andromeda + Entity-ID clustering)audit-creative: Creative quality for LinkedIn, TikTok, Microsoft (plus cross-platform creative-diversity scoring for Andromeda Entity-ID retrieval)audit-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)Wave 3 backlog (planned, not yet shipped):
audit-amazon: Amazon Sponsored Products / Brands / Display + DSP audit (currently invoked via ads-amazon sub-skill standalone)audit-attribution: Cross-platform attribution audit (currently invoked via ads-attribution sub-skill standalone)audit-server-side: Server-side tracking pipeline audit (currently invoked via ads-server-side-tracking sub-skill standalone)Once these land, /ads audit will dispatch all three in parallel alongside the existing six.