Does it include Alertmanager configurations?

The skill provides comprehensive alert rules for common failure modes like service downtime, high latency, and resource exhaustion, which can be routed through Alertmanager.

How does this skill help with Prometheus setup?

It provides standardized configuration templates, scrape jobs, and validation scripts to ensure your Prometheus instance is correctly configured for your specific infrastructure.

How do I validate the generated Prometheus configurations?

The skill includes commands for using 'promtool', the official Prometheus CLI, to check configuration syntax and rule validity before deployment.

Can I use this for Kubernetes-native monitoring?

Yes, the skill includes specialized configurations for Kubernetes service discovery, Helm-based installations, and pod-level annotation scraping.

What are recording rules and why are they included?

Recording rules allow you to pre-compute frequently used or computationally expensive expressions and save their result as a new set of time series, making dashboards load significantly faster.

Prometheus Configuration

Name: Prometheus Configuration
Author: HermeticOrmus

byHermeticOrmus

•

分析と監視

Configures and optimizes Prometheus for robust metric collection, alerting, and observability across diverse infrastructure and applications.

概要

The Prometheus Configuration skill provides a comprehensive framework for implementing enterprise-grade monitoring within Claude Code. It streamlines the creation of scrape configurations, recording rules, and alerting logic for various environments including Kubernetes, Docker, and static host deployments. By leveraging standardized implementation patterns and best practices for time-series data, this skill enables developers to establish high-availability monitoring stacks that ensure performance visibility and proactive incident response.

主な機能

Pre-computed recording rules for optimized query performance
Advanced relabeling patterns for consistent metric labeling
Standardized alerting templates for availability and resource usage
2 GitHub stars
Integrated configuration validation using promtool
Automated scrape configuration for Kubernetes service discovery

ユースケース

Deploying a full-stack monitoring solution on a Kubernetes cluster
Creating optimized recording rules to speed up slow Grafana dashboards
Implementing custom alerting logic for application-specific performance metrics

概要

主な機能

Pre-computed recording rules for optimized query performance
Advanced relabeling patterns for consistent metric labeling
Standardized alerting templates for availability and resource usage
2 GitHub stars
Integrated configuration validation using promtool
Automated scrape configuration for Kubernetes service discovery

ユースケース

Deploying a full-stack monitoring solution on a Kubernetes cluster
Creating optimized recording rules to speed up slow Grafana dashboards
Implementing custom alerting logic for application-specific performance metrics