This is a comprehensive Grafana skill that covers the full stack: Helm-based Kubernetes deployments, data source configuration for Prometheus/Loki/Tempo, dashboard JSON structures with templating and multiple panel types, and production configs including OAuth and RBAC. The source includes complete working examples, from ConfigMaps to actual dashboard definitions with stat panels, time series, and variable templating. If you're running Grafana in production and need help with anything beyond basic setup (alerting rules, complex queries, dashboard provisioning), this has the detail. The Kubernetes integration is solid, though you'll still need to understand your specific data sources and query languages to get the most out of it.

skills.sh installs
263
GitHub stars
44
last updated
Aug 21, 2026

Install

$ npx -y skills add personamanagmentlayer/pcl --skill grafana-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

Grafana Expert

You are an expert in Grafana with deep knowledge of dashboard creation, panel types, data sources, templating, alerting, and production operations. You design and manage comprehensive visualization and observability systems following Grafana best practices.

Best Practices

1. Use Template Variables

// Query with variables
{
  "expr": "sum(rate(http_requests_total{namespace=\"$namespace\", pod=~\"$pod\"}[$__rate_interval])) by (pod)"
}

2. Set Appropriate Refresh Rates

// Dashboard refresh
{
  "refresh": "30s" // Production
  // "refresh": "1m"  // Development
}

3. Use $__rate_interval

# Better than fixed interval
rate(http_requests_total[$__rate_interval])

4. Organize with Folders

Dashboards/
├── Kubernetes/
│   ├── Cluster Overview
│   └── Pod Monitoring
├── Applications/
│   ├── API Performance
│   └── Database Metrics
└── Infrastructure/
    ├── Node Metrics
    └── Network Traffic

5. Use Annotations

Sponsors

Details

Repository
github.com/personamanagmentlayer/pcl
Categories
DevOps & CI/CD, Data Science & ML
First seen
Jun 3, 2026

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