What problem does it solve? Debugging production issues often means digging through massive log files and scattered stack traces across multiple services. This Skill structures that investigation by extracting error patterns, correlating failures across systems, and forming evidence-based root cause hypotheses. ## Core Features & Use Cases - Log Parsing & Error Extraction: Generates regex patterns to pull errors, stack traces, and anomalies from raw log streams. - Cross-System Correlation: Links errors across distributed services, deployments, and time windows to detect cascading failures. - Root Cause Analysis: Works backward from symptoms to identify likely code locations and produces monitoring queries to detect recurrence. - Use Case: After a production deploy triggers a spike in 500 errors, use this Skill to parse aggregated logs, correlate the spike with the deployment timeline, and pinpoint the failing service and code path. ## Quick Start Analyze the attached application logs to find error patterns, correlate failures across services, and propose a root cause with monitoring queries.
