What problem does it solve? Debugging production incidents and recurring errors across distributed systems is slow and error-prone without a systematic process. This Skill provides a structured methodology for root-cause analysis, log correlation, and error prevention so teams can resolve incidents faster and reduce recurrence. ## Core Features & Use Cases - Systematic Root-Cause Analysis: Classify errors by severity and type, apply the Five Whys technique, and trace failures across microservices using correlation IDs and distributed tracing. - Observability Implementation: Set up structured JSON logging, Sentry, DataDog APM, and OpenTelemetry instrumentation with alert configurations for error rate spikes and new error types. - Error Prevention Patterns: Implement circuit breakers, retry logic with exponential backoff, input validation, and React error boundaries to harden applications against failures. - Use Case: When a payment service starts throwing intermittent timeout errors in production, use this Skill to correlate logs by request ID, analyze the stack trace, identify the failing downstream dependency, and deploy a circuit breaker fix. ## Quick Start Analyze the attached production error logs and stack trace to identify the root cause and recommend a fix with preventive measures.
