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, 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.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 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
references/gaql-notes.md: GAQL field compatibility, deduplication patterns, filter scope best practices
references/voice-to-style.md: Brand voice axis to visual attribute mapping for image generation
references/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 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, 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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1---2name: ads3description: 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. Use when this capability is needed.4---56# Ads: Multi-Platform Paid Advertising Audit & Optimization78Comprehensive ad account analysis across all major platforms (Google, Meta,9LinkedIn, TikTok, Microsoft). Orchestrates 17 specialized sub-skills and1010 agents (6 audit + 4 creative).1112## Quick Reference1314| Command | What it does |15|---------|-------------|16| `/ads audit` | Full multi-platform audit with parallel subagent delegation |17| `/ads google` | Google Ads deep analysis (Search, PMax, YouTube) |18| `/ads meta` | Meta Ads deep analysis (FB, IG, Advantage+) |19| `/ads youtube` | YouTube Ads specific analysis |20| `/ads linkedin` | LinkedIn Ads deep analysis (B2B, Lead Gen) |21| `/ads tiktok` | TikTok Ads deep analysis (Creative, Shop, Smart+) |22| `/ads microsoft` | Microsoft/Bing Ads deep analysis (Copilot, Import) |23| `/ads creative` | Cross-platform creative quality audit |24| `/ads landing` | Landing page quality assessment for ad campaigns |25| `/ads budget` | Budget allocation and bidding strategy review |26| `/ads plan <business-type>` | Strategic ad plan with industry templates |27| `/ads apple` | Apple Search Ads (ASA) deep analysis |28| `/ads competitor` | Competitor ad intelligence analysis |29| `/ads dna <url>` | Extract brand DNA from website, outputs `brand-profile.json` |30| `/ads create` | Generate campaign concepts + copy briefs, outputs `campaign-brief.md` |31| `/ads generate` | Generate AI ad images from brief, outputs to `ad-assets/` |32| `/ads photoshoot` | Product photography in 5 styles (Studio, Floating, Ingredient, In Use, Lifestyle) |3334## Context Intake (Required: Always Do This First)3536Before any audit or analysis, collect this context. Without it, benchmarks will37be generic and recommendations may be wrong for the user's situation.3839Ask these questions upfront (combine into one message):40411. **Industry / Business type**: Which best describes you?42 SaaS · E-commerce · Local Service · B2B Enterprise · Info Products · Mobile App ·43 Real Estate · Healthcare · Finance · Agency · Other442. **Monthly ad spend**: Total budget and per-platform breakdown (approximate is fine)453. **Primary goal**: Sales / Revenue · Leads / Demos · App Installs · Calls · Brand464. **Active platforms**: Which platforms are you advertising on?4748If the user provides data upfront (e.g. "audit my Google Ads, I spend $5k/mo on SaaS"),49extract context from that and proceed without re-asking.5051Use the provided context to:52- Select the correct industry benchmarks from `references/benchmarks.md`53- Apply budget-appropriate recommendations (e.g. Smart Bidding requires 15+ conv/month)54- Calibrate severity scoring (a $500/mo account has different priorities than $50k/mo)5556## Orchestration Logic5758When the user invokes `/ads audit`, delegate to subagents in parallel:591. **Collect context** (see Context Intake above; do this first)602. Collect account data (exports, screenshots, or pasted metrics)613. Detect business type and identify active platforms624. Spawn subagents via Task tool with `context: fork`: audit-google, audit-meta, audit-creative, audit-tracking, audit-budget, audit-compliance635. **Validate**: verify each subagent returned valid JSON scores with required fields before aggregating646. Collect results and generate unified report with Ads Health Score (0-100)657. Create prioritized action plan with Quick Wins6667For individual commands (`/ads google`, `/ads meta`, etc.), load the relevant68sub-skill directly. Still collect context first if not already provided.6970## Creative Workflow7172Sequential pipeline (each step is independently runnable):731. `/ads dna <url>` → `brand-profile.json` in current directory742. `/ads create` → reads profile + optional audit results → `campaign-brief.md`753. `/ads generate` → reads brief + profile → `ad-assets/` directory764. `/ads photoshoot` → standalone or reads profile for style injection7778Requires `GOOGLE_API_KEY` (Gemini default) or `ADS_IMAGE_PROVIDER` + matching key.79If API key is missing, `/ads generate` and `/ads photoshoot` display setup80instructions and exit; they never fail silently.8182## Industry Detection8384Detect business type from ad account signals:85- **SaaS**: trial_start/demo_request events, pricing page targeting, long attribution windows86- **E-commerce**: purchase events, product catalog/feed, Shopping/PMax campaigns87- **Local Service**: call extensions, location targeting, store visits, directions events88- **B2B Enterprise**: LinkedIn Ads active, ABM lists, high CPA tolerance ($50+), long sales cycle89- **Info Products**: webinar/course funnels, lead gen forms, low-ticket offers90- **Mobile App**: app install campaigns, in-app events, deep linking91- **Real Estate**: listing feeds, property-specific landing pages, geo-heavy targeting92- **Healthcare**: HIPAA compliance flags, healthcare-specific ad policies93- **Finance**: Special Ad Categories declared, financial products compliance94- **Agency**: multiple client accounts, white-label reporting needs9596## Quality Gates9798Hard rules (never violate these):99- Never recommend Broad Match without Smart Bidding (Google)100- 3x Kill Rule: flag any ad group/campaign with CPA >3x target for pause101- Budget sufficiency: Meta ≥5x CPA per ad set, TikTok ≥50x CPA per ad group102- Learning phase: never recommend edits during active learning phase103- Compliance: always check Special Ad Categories for housing/employment/credit/finance104- Creative: never run silent video ads on TikTok (sound-on platform)105- Attribution: default to 7-day click / 1-day view (Meta), data-driven (Google)106107## Reference Files108109Load these on-demand as needed; do NOT load all at startup.110111**Path resolution:** All references are installed at `~/.claude/skills/ads/references/`.112When sub-skills or agents reference `ads/references/*.md`, resolve to113`~/.claude/skills/ads/references/*.md`.114115- `references/scoring-system.md`: Weighted scoring algorithm and grading thresholds116- `references/benchmarks.md`: Industry benchmarks by platform (CPC, CTR, CVR, ROAS)117- `references/bidding-strategies.md`: Bidding decision trees per platform118- `references/budget-allocation.md`: Platform selection matrix, scaling rules, MER119- `references/platform-specs.md`: Creative specifications across all platforms120- `references/conversion-tracking.md`: Pixel, CAPI, EMQ, ttclid implementation121- `references/compliance.md`: Regulatory requirements, ad policies, privacy122- `references/google-audit.md`: 74-check Google Ads audit checklist123- `references/meta-audit.md`: 46-check Meta Ads audit checklist124- `references/linkedin-audit.md`: 25-check LinkedIn Ads audit checklist125- `references/tiktok-audit.md`: 25-check TikTok Ads audit checklist126- `references/microsoft-audit.md`: 20-check Microsoft Ads audit checklist127- `references/brand-dna-template.md`: Brand DNA schema and extraction guide128- `references/image-providers.md`: Provider config (Gemini/OpenAI/Stability/Replicate)129- `references/google-creative-specs.md`: PMax/RSA/YouTube generation-ready specs130- `references/meta-creative-specs.md`: Feed/Reels/Stories specs + safe zones131- `references/linkedin-creative-specs.md`: Single image/video B2B constraints132- `references/tiktok-creative-specs.md`: 9:16 only + safe zone overlay133- `references/youtube-creative-specs.md`: Skippable/Bumper/Shorts/Thumbnail134- `references/microsoft-creative-specs.md`: Multimedia Ads + RSA subset135- `references/gaql-notes.md`: GAQL field compatibility, deduplication patterns, filter scope best practices136- `references/voice-to-style.md`: Brand voice axis to visual attribute mapping for image generation137- `references/copy-frameworks.md`: 6 ad copy frameworks (AIDA, PAS, BAB, 4P, FAB, Star-Story-Solution)138139## Scoring Methodology140141### Ads Health Score (0-100)142143Per-platform score using weighted algorithm from `references/scoring-system.md`.144Cross-platform aggregate weighted by budget share:145146```147Aggregate = Sum(Platform_Score x Platform_Budget_Share)148```149150### Grading151152| Grade | Score | Action Required |153|-------|-------|-----------------|154| A | 90-100 | Minor optimizations only |155| B | 75-89 | Some improvement opportunities |156| C | 60-74 | Notable issues need attention |157| D | 40-59 | Significant problems present |158| F | <40 | Urgent intervention required |159160### Priority Levels161162- **Critical**: Revenue/data loss risk (fix immediately)163- **High**: Significant performance drag (fix within 7 days)164- **Medium**: Optimization opportunity (fix within 30 days)165- **Low**: Best practice, minor impact (backlog)166167## Sub-Skills168169This skill orchestrates 17 specialized sub-skills:1701711. **ads-audit**: Full multi-platform audit with parallel delegation1722. **ads-google**: Google Ads deep analysis (Search, PMax, YouTube)1733. **ads-meta**: Meta Ads deep analysis (FB, IG, Advantage+)1744. **ads-youtube**: YouTube Ads specific analysis1755. **ads-linkedin**: LinkedIn Ads deep analysis1766. **ads-tiktok**: TikTok Ads deep analysis1777. **ads-microsoft**: Microsoft/Bing Ads deep analysis1788. **ads-creative**: Cross-platform creative quality audit1799. **ads-landing**: Landing page quality for ad campaigns18010. **ads-budget**: Budget allocation and bidding strategy18111. **ads-plan**: Strategic ad planning with industry templates18212. **ads-competitor**: Competitor ad intelligence18313. **ads-apple**: Apple Search Ads (ASA) deep analysis18414. **ads-dna**: Brand DNA extraction from website URL18515. **ads-create**: Campaign concepts, copy decks, creative briefs18616. **ads-generate**: AI image generation with pluggable providers18717. **ads-photoshoot**: Product photography in 5 professional styles188189## Subagents190191For parallel analysis during full audits:192- `audit-google`: Google Ads checks (G01-G74)193- `audit-meta`: Meta Ads checks (M01-M46)194- `audit-creative`: Creative quality for LinkedIn, TikTok, Microsoft195- `audit-tracking`: Conversion tracking health across all platforms196- `audit-budget`: Budget, bidding, structure for LinkedIn, TikTok, Microsoft197- `audit-compliance`: Compliance, settings, performance across all platforms198- `creative-strategist`: Campaign concepts from brand profile + audit results (Opus, maxTurns: 25)199- `visual-designer`: Image generation with brand injection via generate_image.py (Sonnet, maxTurns: 30)200- `copy-writer`: Headlines, CTAs, primary text within platform limits (Sonnet, maxTurns: 20)201- `format-adapter`: Asset dimension validation and spec compliance reporting (Haiku, maxTurns: 15)202203---204> Converted and distributed by [TomeVault](https://tomevault.io/claim/agricidaniel) — claim your Tome and manage your conversions.205<!-- tomevault:4.0:skill_md:2026-04-11 -->