What problem does it solve? Debugging application errors and investigating slow requests often requires digging through unstructured logs. This Skill reads structured wide-event logs written by evlog's file system drain and turns them into actionable answers about errors, latency, and request patterns. ## Core Features & Use Cases - Error Analysis: Filters events by level or status code, reads error.data.why and error.data.fix fields, and explains root causes with suggested remediations. - Performance Investigation: Parses duration strings to find slow requests, identifies slow endpoints, and computes error rates per path. - Format Handling: Detects and parses both NDJSON and pretty-printed JSON log formats, and can fall back to evlog's memory drain endpoint when no log files exist. - Use Case: A user reports that checkout is failing. The Skill reads the latest .jsonl file, filters for errors on /api/checkout, and reports the failing status code, the error.data.why explanation, and the suggested fix. ## Quick Start Analyze the recent logs in .evlog/logs and tell me why the checkout endpoint is returning errors.
