What problem does it solve? Production systems often lack the signals needed to diagnose failures, forcing engineers to guess why requests failed, which dependency timed out, or who performed a sensitive action. This Skill provides structured guidance for adding verifiable operational visibility without leaking secrets or PII. ## Core Features & Use Cases - Signal Design: Plans structured logs, low-cardinality metrics, distributed traces, correlation id propagation, SLOs, actionable alerts, and append-only audit events. - Privacy Guardrails: Enforces redaction of secrets, tokens, session cookies, payment data, and PII across logs, spans, labels, and audit records. - Verification Discipline: Requires tests, smoke checks, or captured evidence before claiming a system is observable, and marks unverified production behavior as unknown. - Use Case: When adding a payment webhook handler to a Go API, use this Skill to decide which spans, counters, and audit events to emit, how to propagate the correlation id, and how to verify redaction before shipping. ## Quick Start Ask the AI to review this backend endpoint and propose an observability plan covering logs, metrics, traces, and audit events with PII-safe fields.