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.
npx skills add AgriciDaniel/claude-ads --skill ads-audit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. Synthesiz
- Procedure
- Platform workers
- Required finding fields
- Completeness rules
- Required-worker failure and weighting
- Synthesis boundaries
- Outputs
What does the ads-audit skill do?
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.
How do I install it?
Run `npx skills add AgriciDaniel/claude-ads --skill ads-audit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From AgriciDaniel/claude-ads, a repository with 7,813 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.