Prometheus Monitoring
Collects and visualizes key infrastructure metrics from Prometheus to proactively identify and resolve performance bottlenecks.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add prometheus-monitoring npx -- -y @trustedskills/prometheus-monitoring
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"prometheus-monitoring": {
"command": "npx",
"args": [
"-y",
"@trustedskills/prometheus-monitoring"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The Prometheus monitoring skill enables AI agents to query, analyze, and visualize metrics from Prometheus servers using PromQL. It allows agents to retrieve real-time data on system performance, identify anomalies, and generate alerts based on defined thresholds.
When to use it
- Diagnosing latency spikes or high error rates in microservices architectures.
- Analyzing historical CPU or memory usage trends to predict resource bottlenecks.
- Generating custom Grafana dashboard configurations for specific operational KPIs.
- Automating incident response by querying alert rules and current metric states.
Key capabilities
- Execute complex PromQL queries directly against a Prometheus instance.
- Retrieve time-series data for specific targets, jobs, or metric names.
- Calculate statistical aggregations like rate, sum, avg, and histogram percentiles.
- Format query results into structured JSON or human-readable tables.
Example prompts
- "Query the current error rate for all services in the 'payment' namespace over the last 5 minutes."
- "Calculate the average CPU usage per pod across the cluster and identify any outliers above 80%."
- "Generate a list of active alerts where memory usage exceeds 90% for more than 10 minutes."
Tips & gotchas
Ensure your AI agent has network access to the Prometheus server and valid authentication credentials if configured. Complex PromQL queries may require precise syntax; test queries in a sandbox environment before running them against production data.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.