概要
The Instrumentation Planning skill provides a strategic roadmap for implementing observability in AI agent systems. It guides developers through a five-tier implementation process—moving from foundational error capturing and root spans to advanced multi-agent coordination and automated quality evaluations. By establishing standardized naming conventions for spans and attributes, this skill ensures that agent telemetry provides actionable insights into success rates, latency, token costs, and reasoning logic, helping teams transition from prototype to production-grade AI applications with full diagnostic visibility.
