About shimo4228/agent-observability-patterns
Three Agent Skills holding the observability design playbook for autonomous LLM agents, for developers who build or operate one: how to make an agent's decisions reconstructible after the fact, and how to earn evidence *before* changing live behavior. General-purpose observability (APM traces, metrics dashboards) tells you what a request did; it does not tell you why a heuristic or LLM call decided what it decided, nor let you validate a new decision mechanism before it is allowed to steer behavior. These three patterns close that gap.