Marketing Blueprint
Audit Paid Advertising Across Platforms
A 22-skill bundle for auditing and optimizing Google, Meta, LinkedIn, TikTok, Microsoft, Apple, and Amazon Ads. Includes 250+ checks, parallel audit agents, industry templates, and AI-powered creative generation.
Install Command
Run this command to deploy the blueprint to your environment.
What problem does this solve?
Runs a comprehensive multi-platform ad account audit in 10-15 minutes instead of the 4-6 hours a manual review requires. It analyzes 250+ platform-specific checks across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon Ads in parallel, scores each account on a 0-100 weighted scale, and surfaces prioritized findings before they become expensive mistakes. This eliminates the recurring audit lag that lets accounts drift out of optimization.
How does it work?
Once installed, you work through four steps. 1. Collect context: specify your industry, monthly ad spend, and active platforms. 2. Export recent data from your ad accounts (30 days recommended) or share screenshots and metrics. 3. Run the audit command for your platform(s): `/ads audit` for all platforms in parallel, or `/ads google`, `/ads meta`, etc. for platform-specific deep dives. 4. Review the JSON output with health score, per-platform breakdown, critical findings with impact/action/ETA, and quick wins. Optional: generate a PDF report for client delivery via `/ads report`. Output: a 0-100 Ads Health Score with prioritized action plan, executable within your current workflow.
What's the biggest win?
Every weekly audit runs in 10-15 minutes and catches account drift (broken conversion goals, creative diversity gaps, Andromeda suppression risk, budget starvation) before stakeholders see the performance dip.
What should I know technically?
Requires Claude Code v2.x or compatible cross-runtime host (Codex CLI, Cursor, Windsurf, Gemini CLI, Goose all experimental). Python 3.10+ for local analysis. Optional: Playwright for landing page analysis, reportlab for PDF generation. Image generation requires API key (Gemini default, or OpenAI/Stability/Replicate via config). All analysis runs locally; no ad account data sent to external servers.
What should I watch out for?
Requires manual data export (ad platform dashboards do not auto-connect). API integrations available via MCP servers (google-ads-mcp documented). Andromeda creative diversity scoring is predictive, not real-time retrieval. Attribution audit requires conversion tracking setup (CAPI, GA4, AdAttributionKit); cannot audit what is not configured.
Key Features
250+ Platform Checks
80 Google checks (Search, PMax, AI Max, Demand Gen), 50 Meta checks (Andromeda, GEM, Lattice, Entity-ID clustering), 27 LinkedIn, 28 TikTok, 24 Microsoft, 35+ Apple, 30+ Amazon, plus cross-platform privacy and creative audits.
Parallel Audit Agents
Spawn 6 agents simultaneously during `/ads audit` to analyze Google, Meta, creative, tracking, budget, and compliance in parallel instead of sequentially.
Industry Detection
Auto-detects business type (SaaS, ecommerce, local service, B2B, mobile app, etc.) from ad account signals and loads the correct benchmarks and templates.
Weighted Scoring
Ads Health Score (0-100) aggregates per-platform scores using budget-share weighting, severity multipliers, and a deterministic algorithm verified by pytest.
AI Creative Pipeline
Extract brand DNA → generate campaign concepts → create AI images → product photography (5 styles). Each step reads the prior output for context continuity.
Tools in this Blueprint
About This Blueprint
- License
- MIT
- Industry
- Marketing
- Skills
- 1 workflows, 21 sub-skills, 22 standalone