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Multi-platform paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, and Apple Search Ads. 225+ checks with scoring, parallel agents, industry templates, and AI creative generation.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Use this skill when the user wants a browser-native HTML presentation, web deck, single-file slides, horizontal swipe deck, keynote-style web page, investor/demo-day HTML deck, or a shareable presentation that opens in a browser. Also use when the user asks for an editorial deck, clean grid deck, presentation microsite, slide landing page, or HTML slides. Do not use this for .pptx files; use the pptx skill for PowerPoint input or output.
Configure LLM providers and models through conversation — add API keys, switch models, list available options.
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' or 'should I run ads.' Use this for campaign strategy, audience targeting, bidding, and optimization. For bulk ad creative generation and iteration, see ad-creative. For landing page optimization, see cro.
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema. For AI search optimization, see ai-seo.
When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," "account creation flow," "people aren't signing up," "signup abandonment," "trial conversion rate," "nobody completes registration," "too many steps to sign up," or "simplify our signup." Use this whenever the user has a signup or registration flow that isn't performing. For post-signup onboarding, see onboarding. For lead capture forms (not account creation), see cro.
Marketing Mode combines AdClaw's v2.0.1-aligned marketing skills covering strategy, psychology, content, SEO, conversion optimization, paid growth, media generation, community, SMS, and research. Use when users need marketing strategy, copywriting, SEO help, conversion optimization, paid advertising, or any marketing tactic.
SOC 職業分類に基づく
| name | ads |
| description | Multi-platform paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, and Apple Search Ads. 225+ checks with scoring, parallel agents, industry templates, and AI 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 |
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).
| 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, 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.mdWhen 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, etc.), load the relevant
sub-skill directly. Still collect context first if not already provided.
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):
Load these on-demand as needed; do NOT load all at startup.
Path resolution: All references are installed at ads-shared/references/.
When sub-skills or agents reference ads-shared/references/*.md, resolve to
ads-shared/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)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 17 specialized sub-skills:
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)