Axiom Anomaly Detection

The detect-anomalies skill empowers Claude to identify irregularities within Axiom datasets by comparing real-time telemetry against historical baselines. By leveraging statistical methods like Z-scores and 3-sigma rules, it automatically uncovers traffic surges, latency degradation, and novel error types that might otherwise go unnoticed. This skill is essential for SREs and developers needing rapid incident investigation, automated root cause analysis, and proactive monitoring of complex distributed systems without manual query construction.

Key Features

Use Cases