Can this skill generate dashboards for Prometheus?

Yes, it is optimized for Prometheus data sources and provides specific PromQL query patterns for various panel types.

What visualization methods does this skill prioritize?

It follows the RED (Rate, Errors, Duration) method for microservices and the USE (Utilization, Saturation, Errors) method for infrastructure monitoring.

Can I use it to configure alerts?

Absolutely. It provides JSON structures for embedding alerting rules, thresholds, and notification settings within your dashboard panels.

Does it support Dashboard-as-Code workflows?

Yes, the skill includes templates and guidance for provisioning Grafana dashboards using Terraform and Ansible.

Grafana Dashboard Pro

Name: Grafana Dashboard Pro
Author: HermeticOrmus

byHermeticOrmus

Analytics & Monitoring

Designs and manages production-ready Grafana dashboards for real-time observability and comprehensive system monitoring.

About

This skill provides specialized guidance for creating high-performance Grafana dashboards, enabling Claude to architect observability interfaces that follow industry-standard patterns like RED and USE. It covers everything from JSON dashboard configuration and panel selection to advanced variables and alerting. Whether you are building infrastructure monitoring, API health views, or database performance dashboards, this skill ensures your visualizations are actionable, professional, and maintainable through dashboard-as-code practices like Terraform and Ansible.

Key Features

Generates optimized JSON configurations for diverse panel types including Heatmaps and Stat panels
Configures dynamic template variables for multi-environment and multi-service filtering
Integrates threshold-based alerting and notification channels directly into dashboards
Provides infrastructure-as-code patterns for automated dashboard provisioning
0 GitHub stars
Implements RED (Rate, Errors, Duration) and USE monitoring methodologies

Use Cases

Standardizing operational observability across teams using reusable dashboard templates
Building real-time API monitoring dashboards with P95/P99 latency tracking
Creating infrastructure health visualizations for Kubernetes and cloud resources

About

Key Features

Generates optimized JSON configurations for diverse panel types including Heatmaps and Stat panels
Configures dynamic template variables for multi-environment and multi-service filtering
Integrates threshold-based alerting and notification channels directly into dashboards
Provides infrastructure-as-code patterns for automated dashboard provisioning
0 GitHub stars
Implements RED (Rate, Errors, Duration) and USE monitoring methodologies

Use Cases

Standardizing operational observability across teams using reusable dashboard templates
Building real-time API monitoring dashboards with P95/P99 latency tracking
Creating infrastructure health visualizations for Kubernetes and cloud resources