What problem does it solve? Debugging production issues in Bun applications is difficult without structured logs, traceable operations, and measurable performance data. This Skill provides production-grade patterns for structured logging, correlation ID tracing, and metrics collection using @side-quest/core/logging and LogTape. ## Core Features & Use Cases - Structured JSONL Logging: Set up plugin loggers with hierarchical subsystem categories, log levels, and automatic file rotation for machine-parseable output. - Correlation ID Tracing: Implement OpenTelemetry-compatible three-tier ID hierarchies (sessionCid, cid, parentCid) to trace operations end-to-end across subsystems. - Performance Metrics & Debugging: Aggregate durationMs metrics automatically and debug production issues with grep and jq query patterns against JSONL logs. - Use Case: When a file processing pipeline fails in production, grep the session correlation ID to reconstruct the full operation trace, identify the failing subsystem, and measure operation durations. ## Quick Start Ask the AI to set up structured logging with correlation IDs and subsystem loggers for your Bun plugin using the observability patterns.