Ads monitor
Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.
npx -y skills add AgriciDaniel/claude-ads --skill ads-monitorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms. Use for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring.
SKILL.md
1.1 KB, as published. Nobody here has run it
Paid Media Monitoring
- Load two or more normalized snapshots with compatible account, timezone, currency, metric, and attribution definitions.
- Validate data freshness and finalization windows before comparing periods.
- Separate expected learning, seasonality, reporting latency, and planned changes from unexplained anomalies.
- Evaluate pacing, delivery, conversion quality, unit economics, creative fatigue, tracking health, policy status, and changed account objects.
- Return observations, confidence, likely causes, required investigation, and decision thresholds. Do not mutate the account.
- Persist a versioned monitoring bundle and link detected failures to regression or follow-up tasks.
Do not alert on percentage changes with trivial denominators or incomparable windows. State when evidence cannot distinguish noise from a material change.