anomaly-detection

Installation
SKILL.md

6/ Anomaly Detection — Google + Meta

What it does

Catches unusual performance changes across your accounts — CPC spikes, CVR drops, spend surges, impression collapses, CTR shifts — and flags them with context about what likely changed. The goal is to catch problems in hours instead of discovering them days later during a routine check.

How it works

Claude compares current performance against your recent baseline (typically 7-14 day rolling average) and flags any metric that moves beyond a threshold you set. It then cross-references the anomaly against common causes — budget changes, auction shifts, ad disapprovals, audience exhaustion, landing page issues, or external events.

Practical example

Thursday at 2pm, your branded search CPC jumps 47% compared to the 14-day average. Claude flags it and identifies that a competitor started bidding on your brand terms (impression share dropped from 94% to 71% simultaneously). It also catches that a Meta campaign's CVR dropped 60% — the landing page started returning 404 errors after a site deployment at 1:30pm.

What you get back

  • List of anomalies ranked by financial impact (estimated wasted or lost spend)
  • Each anomaly paired with the most likely cause based on correlated data shifts
  • Recommended immediate actions for each issue
  • Severity rating so you know what to fix now vs what can wait
  • Baseline comparison data so you can see exactly how far off normal the metric is
Installs
1
Repository
opencue/skills
GitHub Stars
3
First Seen
Jun 19, 2026
anomaly-detection — opencue/skills