Cloud Trace gives you a detailed view of how your agent runs. It shows each step, latency, and errors. This works automatically with no extra setup.
Prompt-response logging saves every AI interaction to Cloud Storage and BigQuery. Use it for audits or compliance. It is enabled when you deploy your agent.
BigQuery Agent Analytics stores structured data like tool use and outcomes. Build custom dashboards or run evaluations. You can also connect third-party tools like AgentOps and Phoenix.
Global
mkdir -p ~/.claude/skills/google-agents-cli-observabilityProject
mkdir -p .claude/skills/google-agents-cli-observabilitySource Repository
Appinsights Instrumentationmicrosoft/azure-skills
Learn how to add Azure Application Insights monitoring to your web app
Azure Kustomicrosoft/azure-skills
Run fast KQL queries on Azure Data Explorer for log and telemetry analysis
Caveman Statsjuliusbrussee/caveman
See real token usage and estimated savings directly from your session log
Azure Observabilitymicrosoft/azure-skills
Track Azure app errors, performance, and infrastructure with monitoring tools
Convex Performance Auditget-convex/agent-skills
Find and fix Convex performance problems with step-by-step diagnostic guidance
Golang Observabilitysamber/cc-skills-golang
Monitor your Go services with logs metrics traces and profiling
Golang Samber Slogsamber/cc-skills-golang
Compose, sample, and route Go logs to multiple backends with ease
Agent Pulsejane-o-o-o-o/agent-pulse-skills
Track your AI agents activity costs and health from one simple command