cross-platform-audit

name	cross-platform-audit
description	Unified multi-platform paid media audit with parallel execution. Spawns scored audits for Google Ads, Meta Ads, and Microsoft Ads simultaneously, merges results into a budget-weighted aggregate health score (A-F), adds cross-platform analysis (budget allocation, tracking consistency, creative alignment, attribution overlap), and produces a prioritized action plan. Optionally generates a client-ready deck via pro-deck-builder. Use when the user asks for a full paid media audit, cross-platform review, or multi-channel ad assessment.
license	MIT
origin	custom
author	Rebecca Rae Barton
author_url	https://github.com/thatrebeccarae
metadata	{"version":"1.0.0","category":"paid-media","domain":"cross-platform","updated":"2026-03-16T00:00:00.000Z","tested":"2026-03-17T00:00:00.000Z","tested_with":"Claude Code v2.1"}

Cross-Platform Audit — Unified Paid Media Assessment

Orchestrates parallel scored audits across Google Ads, Meta Ads, and Microsoft Ads, then merges results into a single budget-weighted health score with cross-platform intelligence.

Install

git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/cross-platform-audit ~/.claude/skills/

Context Intake (Always Do First)

Before running audits, collect this information. Without it, benchmarks will be generic and recommendations may be wrong.

Ask these questions (combine into one prompt):

1. Business type — E-commerce/DTC, SaaS/B2B, Local Service, Lead Gen, Agency, Other
2. Monthly ad spend — Total and per-platform breakdown (approximate is fine)
3. Primary goal — Revenue/ROAS, Leads/CPA, App Installs, Brand Awareness
4. Active platforms — Which platforms are they advertising on? (Google, Meta, Microsoft, others)
5. Data available — What can they provide? (exports, screenshots, pasted metrics, MCP access)

Use the provided context to:

• Determine which platform audits to run (skip platforms they don't use)
• Calculate budget share per platform for aggregate scoring
• Calibrate severity based on spend level ($5K/mo gets different advice than $100K/mo)

Orchestration Workflow

Step 1: Collect Context

Gather business type, platforms, budgets, goals, and available data per the intake above.

Step 2: Spawn Parallel Audits

Use the Task tool to run platform audits simultaneously. Each audit task should:

1. Load skills/shared/scoring-system.md for the scoring algorithm
2. Load the platform-specific CHECKS.md for the audit checklist
3. Load the platform-specific SKILL.md and REFERENCE.md for diagnostic context
4. Evaluate each applicable check as PASS, WARNING, or FAIL
5. Calculate the platform health score using weighted formula
6. Identify Quick Wins
7. Write results to a structured output

Spawn these tasks in parallel (adjust based on which platforms the user has):

Task 1: Google Ads Audit
  → Read skills/shared/scoring-system.md
  → Read skills/google-ads/CHECKS.md
  → Evaluate 74 checks against provided data
  → Calculate score → Write google-audit-results.md

Task 2: Meta Ads Audit
  → Read skills/shared/scoring-system.md
  → Read skills/facebook-ads/CHECKS.md
  → Evaluate 46 checks against provided data
  → Calculate score → Write meta-audit-results.md

Task 3: Microsoft Ads Audit
  → Read skills/shared/scoring-system.md
  → Read skills/microsoft-ads/CHECKS.md
  → Evaluate 30 checks against provided data
  → Calculate score → Write microsoft-audit-results.md