Grafana Dashboard

SkillMonitoring & ops

Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Grafana Dashboard skill

What this skill tells your AI

The instructions your AI receives, as published by aj-geddes/useful-ai-prompts in skills/grafana-dashboard/SKILL.md and read by ahel’s review.

Table of Contents

  • Overview
  • When to Use
  • Quick Start
  • Reference Guides
  • Best Practices

Overview

Design and implement comprehensive Grafana dashboards with multiple visualization types, variables, and drill-down capabilities for operational monitoring.

When to Use

  • Creating monitoring dashboards
  • Building operational insights
  • Visualizing time-series data
  • Creating drill-down dashboards
  • Sharing metrics with stakeholders

Quick Start

Minimal working example:

{
  "dashboard": {
    "title": "Application Performance",
    "description": "Real-time application metrics",
    "tags": ["production", "performance"],
    "timezone": "UTC",
    "refresh": "30s",
    "templating": {
      "list": [
        {
          "name": "datasource",
          "type": "datasource",
          "datasource": "prometheus"
        },
        {
          "name": "service",
          "type": "query",
          "datasource": "prometheus",
          "query": "label_values(requests_total, service)"
        }
      ]
    },
    "panels": [
      {
        "id": 1,
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Grafana Dashboard JSONGrafana Dashboard JSON
Grafana Provisioning ConfigurationGrafana Provisioning Configuration
Grafana Alert ConfigurationGrafana Alert Configuration
Grafana API ClientGrafana API Client
Docker Compose SetupDocker Compose Setup

Best Practices

✅ DO

  • Use meaningful dashboard titles
  • Add documentation panels
  • Implement row-based organization
  • Use variables for flexibility
  • Set appropriate refresh intervals
  • Include runbook links in alerts
  • Test alerts before deploying
  • Use consistent color schemes
  • Version control dashboard JSON

❌ DON'T

  • Overload dashboards with too many panels
  • Mix different time ranges without justification
  • Create without runbooks
  • Ignore alert noise
  • Use inconsistent metric naming
  • Set refresh too frequently
  • Forget to configure datasources
  • Leave default passwords

Signals

GitHub stars
336
Forks
55
Last commit
Mar 2026
Advanced
Catalog kind
skill
Gateway key
grafana-dashboard
Source
github.com/aj-geddes/useful-ai-prompts