Individual skill
ads-audit
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.
skills/ads-audit/SKILL.md
Source commit fc3908e786c318776df89a3a098333da377364be
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- Repository scan complete
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 10,926
- Repository last updated
- Nov 1, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-code Repository topic
- claude-code-skill Repository topic
- ai-marketing Repository topic
- ai Repository topic
- marketing-automation Repository topic
- open-source Repository topic
- agent-skills Repository topic
- google-ads Repository topic
- meta-ads Repository topic
- paid-advertising Repository topic
- security Derived category
- marketing Derived category
Files and excerpt
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# 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