Agent skill · data analytics · wshobson
prometheus-configuration
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
Why this skill is useful
Provides specific configuration patterns and commands for setting up Prometheus that the AI wouldn't reliably generate on its own.
What it needs
Requires prometheus installed locally. About 1k tokens when loaded. Last updated 2026-08-05. 38,570 stars on the source repository.
What this skill does
Prometheus Configuration Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules. Purpose Configure Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications. When to Use Set up Prometheus monitoring Configure metric scraping Create recording rules Design alert rules Implement service discovery Detailed patterns and worked examples Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient. Best Practices 1. Use consistent naming for metrics (prefixnameunit) 2. Set appropriate scrape intervals (15-60s typical) 3. Use recording rules for expensive queries 4. Implement high availability (multiple Prometheus instances) 5. Configure retention based on storage capacity 6. Use relabeling for metric cleanup 7. Monitor Prometheus itself 8. Implement federation for large deployments 9. Use Thanos/Cortex for long-term storage 10. Document custom metrics Troubleshooting Check scrape targets: Check configuration: Test query: Related Skills grafana-dashboards - For visualization slo-implementation - For SLO monitoring distributed-tracing - For request tracing
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills wshobson/prometheus-configuration