Agent Performance Monitor
ruvnet/rufloThe Performance Monitor skill tracks how well your AI agents are working. It collects real-time metrics like CPU usage, memory load, and response times. You can see if any agent is slow or using too many resources.
This tool also finds bottlenecks that slow down your system. It checks for problems with the network, tasks, or coordination between agents. Alerts are sent when something unusual happens, so you can fix issues fast.
Anyone who runs AI agents will benefit from better SLA monitoring and anomaly detection. Keep your agents running smoothly and avoid surprises with clear performance data.
Add Agent Performance Monitor skill to your workflow
Global
mkdir -p ~/.claude/skills/agent-performance-monitorProject
mkdir -p .claude/skills/agent-performance-monitorSource Repository
More Monitoring & Observability Claude Code Skills
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
Google Agents Cli Observabilitygoogle/agents-cli
Set up tracing, logging, and analytics for your ADK agents easily
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