
Grafana Expert
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-codeInstalls 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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