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Ads Audit

Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinteres…

Claude skills4 min read

By AgriciDaniel/claude-ads, MIT licence. Shared here with credit.

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.

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