Audit Extended Ad Platforms9 skills
Specialized audits for Microsoft/Bing Ads, Apple Search Ads, Amazon Advertising, plus cross-platform concerns like attribution and server-side tracking.
Marketing Blueprint
Safety checkedAudit Paid Ads Across All Platforms
0AgriciDanielMay 2026
A 22-skill bundle that runs multi-platform advertising audits across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon with 250+ checks, health scoring, and prioritized action plans.
Platform AuditsCreative AnalysisPlanning & StrategyUtilities & ToolsAsset Generation
Install Prompt
Copy this prompt and paste it into your AI agent to install.
What problem does this solve?
Runs a comprehensive audit of paid ad accounts across all major platforms in 10-15 minutes, scoring account health and generating prioritized fixes. A manual audit of a single account takes 4-6 hours of senior PPC time and misses platform-specific blind spots; this skill deterministically covers 250+ checks across 8 platforms with local, verifiable rigor.
How does it work?
Once installed, you provide account context (industry, budget, active platforms) and account data (exports, screenshots, or metrics). The skill either dispatches 6 parallel audit agents (for full /ads audit) or runs a platform-specific deep dive (/ads google, /ads meta, etc.). Each audit generates a 0-100 health score with weighted per-platform breakdown, critical findings ranked by severity, and quick wins fixable in under 15 minutes. Output: structured JSON report plus optional PDF for client delivery.
Included Skill Groups
Audit Creative Quality Across Platforms13 skills
Cross-platform creative quality, fatigue detection, landing page assessment, and creative asset generation pipeline.
Calculate PPC Metrics & Design Tests8 skills
Financial calculators, A/B test design framework, and reporting utilities.
Run Multi-Platform Audit End to End4 skills
Orchestrator skill that dispatches 6 parallel audit agents across all major platforms and synthesizes results into a unified health score and action plan.
What's the biggest win?
Every paid ad account gets audited the same way with the same rigor every week, catching platform-specific issues (Andromeda creative suppression on Meta, AI Max negative keyword gaps on Google, ACOS/TACOS misalignment on Amazon) that human reviewers habitually miss because platforms change faster than audit checklists.
What's required to run this?
Requires Python 3.10+ because the eval harness uses pytest with modern type hints and the install matrix validates cross-host targets (Claude Code, Cursor, Windsurf, Codex, Gemini CLI, Goose) against a whitelist to prevent shell injection. PDF generation via reportlab is optional for /ads report. Landing page analysis via Playwright is optional for /ads landing. Image generation requires a provider key (Gemini, OpenAI, Stability, or Replicate) in .env; if missing, /ads generate and /ads photoshoot exit gracefully with setup instructions rather than failing silently.
What should I watch out for?
Manual install requires Claude Code CLI and Python 3.10+; some features (PDF reports, landing page analysis) need optional dependencies (reportlab, Playwright). Audit quality depends on the data you provide (exports or screenshots). Garbage in equals generic benchmarks out. Some sub-skills (ads-amazon, ads-attribution, ads-server-side-tracking) are standalone in Wave 2; paired audit agents land in Wave 3. Results vary significantly by account maturity, budget level, and industry. Provide upfront context for relevant recommendations.
Key Features
250+ Audit Checks
Bidirectionally verified against test fixtures; 80 Google, 50 Meta, 27 LinkedIn, 28 TikTok, 24 Microsoft, 35+ Apple, 30+ Amazon, plus cross-platform tracking and attribution.
Parallel Agents
6 concurrent audit agents (Google, Meta, Creative, Tracking, Budget, Compliance) run simultaneously for speed; individual platform deep-dives available standalone.
2026-Current Platform Logic
Covers AI Max for Google Search (broad match + AI Brief + FUE), Andromeda + Entity-ID clustering for Meta, AdAttributionKit + Consent Mode V2 for Apple, ACOS/TACOS for Amazon, post-USDS TikTok Events API.
Industry-Specific Benchmarks
Auto-detects business type (SaaS, E-commerce, Local Service, B2B, etc.) and loads platform-specific benchmarks, bidding decision trees, and quality gates (3x CPA Kill Rule, Smart Bidding requirements, budget sufficiency thresholds).
Local, No Data Leakage
Runs entirely on your machine in Claude Code; account data never leaves your system. Optional MCP servers for live API access flow direct-to-platform without intermediaries.
Tools in this Blueprint
About This Blueprint
- License
- MIT
- Industry
- Technology
- Skills
- 1 workflows, 0 sub-skills, 22 standalone
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