/grafana-dashboard
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
$ npx -y skills add aj-geddes/useful-ai-prompts --skill grafana-dashboard --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/grafana-dashboard
Context preview
The summary Claude sees to decide when to auto-load this skill.
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
SKILL.md
grafana-dashboard.SKILL.mdname: grafana-dashboard
description: >
Create professional Grafana dashboards with visualizations, templating, and
alerts. Use when building monitoring dashboards, creating data visualizations,
or setting up operational insights.
Grafana Dashboard
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#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:
| Guide | Contents | |---|---| | [Grafana Dashboard JSON](references/grafana-dashboard-json.md) | Grafana Dashboard JSON | | [Grafana Provisioning Configuration](references/grafana-provisioning-configuration.md) | Grafana Provisioning Configuration | | [Grafana Alert Configuration](references/grafana-alert-configuration.md) | Grafana Alert Configuration | | [Grafana API Client](references/grafana-api-client.md) | Grafana API Client | | [Docker Compose Setup](references/docker-compose-setup.md) | Docker 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
Read more
name: grafana-dashboard description: > Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
Grafana Dashboard
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#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:
| Guide | Contents | |---|---| | [Grafana Dashboard JSON](references/grafana-dashboard-json.md) | Grafana Dashboard JSON | | [Grafana Provisioning Configuration](references/grafana-provisioning-configuration.md) | Grafana Provisioning Configuration | | [Grafana Alert Configuration](references/grafana-alert-configuration.md) | Grafana Alert Configuration | | [Grafana API Client](references/grafana-api-client.md) | Grafana API Client | | [Docker Compose Setup](references/docker-compose-setup.md) | Docker 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
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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