ads-monitor
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.
npx skills add AgriciDaniel/claude-ads --skill ads-monitor --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 Media Monitoring 1. Load two or more normalized snapshots with compatible account, timezone, currency, metric, and attribution definitions. 2. Validate data freshness and finalization windows before comparing periods. 3. Separate expected learning, seasonality, reporting latency, and planned changes from unexplained anomalies. 4. Evaluate pacing, delivery, conversion quality, unit economics, creative fatigue, tracking health, policy status, and changed account objects. 5. Return observations, confidence, likely causes, required investigation, and decision thresholds. Do not mutate the account. 6. 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.
What does the ads-monitor skill do?
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.
How do I install it?
Run `npx skills add AgriciDaniel/claude-ads --skill ads-monitor --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.