Query CPU, memory, network, and disk metrics for Railway services.
npx skills add https://github.com/sidpalas/background-agent --skill metrics-sidpalas
Please help me install this Agent Skill. Skill: metrics Source: https://github.com/sidpalas/background-agent/tree/main/.opencode/skill/metrics Command: npx skills add https://github.com/sidpalas/background-agent --skill metrics-sidpalas
This Skill helps teams quickly understand and quantify resource usage for Railway services, enabling faster performance diagnosis and capacity planning.
Query CPU, memory, network, and disk metrics for Railway services and interpret the results.
High-intent search queries and answers about installing and using this skill.
Check CPU and memory usage for Railway services by querying resource metrics with a built-in interface. Obtain measurements like CPU_USAGE and MEMORY_USAGE_GB using your environmentId and optional serviceId to diagnose performance.
Query Railway metrics including CPU_USAGE, MEMORY_USAGE_GB, network, and disk measurements to diagnose service performance. Apply these analytics across environments and deployments to identify bottlenecks and confirm service health.
Yes, you need an environmentId obtained from railway status to retrieve Railway disk and network metrics. You can optionally provide a serviceId to target resource usage queries for a specific service.
Monitor Railway resource utilization across deployments when a service slows down or requires capacity planning. Inspect CPU, memory, network, and disk analytics to determine whether to scale resources or optimize code.
The best way to identify resource bottlenecks on Railway is to query CPU, memory, network, and disk usage metrics. Analyzing these measurements across environments pinpoints performance issues and guides optimization decisions.
heinschulieQuery CPU, memory, network, and disk metrics for Railway services.
redhat-etQuery Prometheus metrics with PromQL to diagnose resource usage and platform performance.
ChatAndBuildGuide Railway deployment with environment checks, health verification, and rollback readiness.
mhalderIdentifies CPU, memory, disk, and network bottlenecks on slow servers.
