Metrics
Tracks key performance indicators (KPIs) to monitor progress, identify trends, and optimize your project's success – a vital tool for data-driven decisions.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add metrics npx -- -y @trustedskills/metrics
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"metrics": {
"command": "npx",
"args": [
"-y",
"@trustedskills/metrics"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The metrics skill provides access to Railway's observability data. It allows AI agents to query and retrieve performance metrics, error rates, and other operational insights from your Railway projects. This enables automated monitoring, debugging, and optimization of deployed applications.
When to use it
- Automated Monitoring: Regularly check key metrics (e.g., response time, CPU usage) and trigger alerts based on thresholds.
- Debugging Issues: Quickly identify the root cause of application errors by analyzing error logs and performance data.
- Performance Optimization: Analyze resource consumption patterns to optimize code or infrastructure configurations.
- Incident Response: Gather relevant metrics during incidents to understand impact and accelerate resolution.
Key capabilities
- Access Railway project metrics
- Query error rates
- Retrieve operational insights
Example prompts
- "What was the average response time for my API endpoint in the last hour?"
- "Show me the error rate for my production service over the past 24 hours."
- “How much CPU is being used by my worker?”
Tips & gotchas
Requires an active Railway account and appropriate permissions to access project metrics. The skill's effectiveness depends on properly configured monitoring within your Railway projects.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.