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ads-auditlisted

Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for full ad checks, account health reviews, paid-media diagnostics, partial audits after authentication or worker failure, missing-platform weighting, beta-feature eligibility and scoring, spend audits, tracking audits, or prioritized opportunities and risks.
sgomez-dev/claude-skills · ★ 1 · AI & Automation · score 67
Install: claude install-skill sgomez-dev/claude-skills
# Paid Advertising Audit Produce a versioned JSON audit bundle first, then render human deliverables from that bundle. Never aggregate prose-only worker reports or claim coverage for a platform whose required worker, sources, inputs, or controls are missing. ## Procedure 1. Read the main `ads` operating contract and thinking framework. 2. Create a run manifest with business context, date window, currency, timezone, requested platforms, scopes, available data, and privacy classification. 3. Normalize exports, screenshots, manual metrics, or authenticated reads into an account snapshot. Preserve source lineage and mark missing fields. 4. Discover active platforms. Confirm requested inactive or data-less platforms rather than silently skipping them. 5. Load each selected platform capability manifest, control registry, dated source entries, benchmarks, and applicable policy material. 6. Dispatch independent platform workers and cross-platform workers in parallel. 7. Validate every result against the common finding schema. Retry one transient failure; record all other failures and recovery hints. 8. Run deterministic scoring. Do not calculate or repair scores in the prompt. 9. Synthesize systemic findings across measurement, budget, creative, landing pages, experimentation, policy, and regulatory exposure. 10. Write one atomic run bundle and render the requested reports. 11. Verify bundle completeness, citations, privacy, and render integrity. ## Platform wor