| name | ads |
| description | 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, brand DNA, generate ads, create campaign, product photography, ad creative generation. |
| argument-hint | audit | google | meta | youtube | linkedin | tiktok | microsoft | apple | creative | landing | budget | plan <type> | competitor | dna <url> | create | generate | photoshoot |
| license | MIT |
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 Search Ads (ASA) deep analysis |
/ads competitor | Competitor ad intelligence analysis |
/ads dna <url> | Extract brand DNA from website → brand-profile.json |
/ads create | Generate campaign concepts + copy briefs → campaign-brief.md |
/ads generate | Generate AI ad images from brief → 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: 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. Still collect context first if not already provided.
Creative Workflow
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 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)
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 subset
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 Search Ads (ASA) 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)
