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The Observability Pattern Detector is a specialized tool for Claude Code that automates the recognition of patterns and anomalies within telemetry data. By querying Loki logs, it identifies recurring tool failures, detects slow response sequences, and flags session anomalies like high turn counts or frequent context compactions. This skill is essential for developers looking to optimize their AI workflows, debug complex tool interactions, and reduce operational waste by identifying redundant steps like repeated file reads or inefficient editing patterns. It provides actionable insights through structured reports, helping users refine their prompts and tool usage for maximum efficiency.
