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Skill kennyolofsson23-netizen/claude-code-config/skills/claude-ads/ads

The most comprehensive Claude Code setup — 29 skills, 9 plugins, 13 hooks, 8 agents, 8 commands. Self-documenting, self-improving, CLI-first. Includes self-interview prompt for personalization.

Install
npx -y skills add kennyolofsson23-netizen/claude-code-config --skill ads

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What its author says it does

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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, brand DNA, generate ads, create campaign, product photography, ad creative generation.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

10.8 KB, as published. Nobody here has run it

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

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 appleApple Search Ads (ASA) deep analysis
/ads competitorCompetitor ad intelligence analysis
/ads dna <url>Extract brand DNA from website → brand-profile.json
/ads createGenerate campaign concepts + copy briefs → campaign-brief.md
/ads generateGenerate AI ad images from brief → ad-assets/
/ads photoshootProduct 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):

  1. Industry / Business type — Which best describes you? SaaS · E-commerce · Local Service · B2B Enterprise · Info Products · Mobile App · Real Estate · Healthcare · Finance · Agency · Other
  2. Monthly ad spend — Total budget and per-platform breakdown (approximate is fine)
  3. Primary goal — Sales / Revenue · Leads / Demos · App Installs · Calls · Brand
  4. 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:

  1. Collect context (see Context Intake above — do this first)
  2. Collect account data (exports, screenshots, or pasted metrics)
  3. Detect business type and identify active platforms
  4. Spawn subagents: audit-google, audit-meta, audit-creative, audit-tracking, audit-budget, audit-compliance
  5. Collect results and generate unified report with Ads Health Score (0-100)
  6. 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:

  1. /ads dna <url> → brand-profile.json in current directory
  2. /ads create → reads profile + optional audit results → campaign-brief.md
  3. /ads generate → reads brief + profile → ad-assets/ directory
  4. /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 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
  • references/brand-dna-template.md — Brand DNA schema and extraction guide
  • references/image-providers.md — Provider config (Gemini/OpenAI/Stability/Replicate)
  • references/google-creative-specs.md — PMax/RSA/YouTube generation-ready specs
  • references/meta-creative-specs.md — Feed/Reels/Stories specs + safe zones
  • references/linkedin-creative-specs.md — Single image/video B2B constraints
  • references/tiktok-creative-specs.md — 9:16 only + safe zone overlay
  • references/youtube-creative-specs.md — Skippable/Bumper/Shorts/Thumbnail
  • references/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

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 17 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
  13. ads-apple — Apple Search Ads (ASA) deep analysis
  14. ads-dna — Brand DNA extraction from website URL
  15. ads-create — Campaign concepts, copy decks, creative briefs
  16. ads-generate — AI image generation with pluggable providers
  17. 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, 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
  • creative-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)

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