What problem does it solve? Production services often lack consistent observability, leaving teams blind to failures until users report them. This Skill provides concrete patterns for structured logging, metrics instrumentation, alerting rules, and health checks so systems surface problems proactively. ## Core Features & Use Cases - Structured JSON Logging: Python logging configuration with JSON formatting, correlation IDs, and exception capture for searchable log aggregation. - Metrics Instrumentation: Prometheus-style counters, histograms, and gauges covering the four golden signals (latency, traffic, errors, saturation). - Health Checks & Alerting: Aggregated health check endpoints with healthy/degraded/unhealthy states, plus Prometheus alert rules that fire on symptoms rather than causes. - Use Case: When adding observability to a new microservice, invoke this Skill to generate the logging setup, metrics endpoint, health check aggregation, and alert rules in one pass. ## Quick Start Ask Claude to add structured logging, Prometheus metrics, and a health check endpoint to your service using the monitor skill.
