Does this skill help determine if my service is healthy?

While it provides the raw resource data, it is best used in combination with the Railway 'service' skill to correlate deployment status with resource consumption for a full health check.

What specific metrics can I track with the Railway Metrics skill?

You can track CPU usage and limits, memory usage and limits (GB), network RX/TX, disk usage, ephemeral disk usage, and backup usage.

Can I view metrics for all services in a Railway environment at once?

Yes, by omitting the specific serviceId and using the 'groupBy' parameter with SERVICE_ID, you can retrieve aggregate or individual metrics for all services in an environment.

How do I specify the time range for the performance data?

The skill requires a startDate in ISO 8601 format (e.g., 2024-01-01T00:00:00Z). You can also provide an optional endDate and sampleRateSeconds to refine the query.

What format are the metric values returned in?

CPU metrics are returned in cores, while memory, network, and disk metrics are provided in Gigabytes (GB).

Railway Metrics

Name: Railway Metrics
Author: railwayapp

byrailwayapp

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Analíticas y Monitorización

Monitor and analyze real-time resource usage for Railway services including CPU, memory, network, and disk performance.

The Railway Metrics skill enables Claude to query high-resolution performance data for cloud deployments, providing deep visibility into infrastructure health. It allows developers to retrieve and interpret critical time-series data such as CPU cores utilized, memory consumption in GB, network throughput, and disk usage across specific services or entire environments. This skill is essential for diagnosing performance bottlenecks, identifying memory leaks, and making informed decisions about scaling infrastructure directly from the Claude Code interface.

Características Principales

01Monitor network transmission and reception rates across services

02Identify resource limit saturation for proactive scaling

03Query real-time CPU usage, memory consumption, and disk utilization

04Group performance data by deployment ID, instance, region, or service

05Retrieve historical metrics with custom time windows and sample rates

0635 GitHub stars

Casos de Uso

01Monitoring resource consumption trends after a new deployment to identify regressions

02Debugging service latency or slowness by checking for CPU throttling or memory pressure

03Auditing network traffic and disk usage for billing or capacity planning

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add railwayapp/railway-skills metrics

For use in Claude.ai and ChatGPT

Download Skill