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데이터 및 연구 · SKILL.md

ads-monitor

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.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: ads-monitor description: "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."

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.

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