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prometheus-grafana

Instrument Prometheus metrics and create Grafana dashboards with PromQL queries.

2|Updated Jan 23, 2026
Search Tags:#dashboards#metrics#observability#instrumentation#grafana#prometheus#promql
One-click install
npx skills add https://github.com/linguistic76/skuel --skill prometheus-grafana-linguistic76
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prometheus-grafana
Source: https://github.com/linguistic76/skuel/tree/main/app/.claude/skills/prometheus-grafana
Command: npx skills add https://github.com/linguistic76/skuel --skill prometheus-grafana-linguistic76

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides expert guidance on SKUEL's Prometheus metrics and Grafana dashboards, enabling users to instrument features, write PromQL queries, create dashboards, and troubleshoot the entire observability stack.

Core Features & Use Cases

  • Metric Instrumentation: Learn how to add new Prometheus metrics to SKUEL features.
  • PromQL Querying: Discover and use battle-tested PromQL queries for dashboards and alerts.
  • Dashboard Creation: Understand the structure and purpose of SKUEL's four key Grafana dashboards.
  • Troubleshooting: Diagnose and resolve common issues within the observability stack.
  • Use Case: A software engineer needs to add a new metric to track user sign-ups. They consult this Skill to understand the correct instrumentation pattern, define the metric, and verify it appears correctly in Grafana.

Quick Start

Use the prometheus-grafana skill to find the PromQL query for HTTP request rates.

Frequently Asked Questions about prometheus-grafana

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add Prometheus metrics to track new application features?▼

Prometheus metric instrumentation involves adding specific code patterns to define and expose metrics from your application features. This allows you to track events like user sign-ups and verify their appearance in Grafana dashboards.

What PromQL query patterns should I use for HTTP request rates?▼

PromQL query patterns for HTTP request rates typically involve using rate functions over time windows to calculate per-second averages. These battle-tested queries are essential for building accurate monitoring dashboards and alerts.

How do I structure Grafana dashboards for observability monitoring?▼

Structuring Grafana dashboards for observability involves understanding the specific purpose and layout of key monitoring views. You can build upon existing dashboard templates to visualize metrics and track system health effectively.

Why are my Prometheus metrics not showing up in Grafana dashboards?▼

Prometheus metrics not appearing in Grafana often stem from incorrect metric instrumentation, PromQL query syntax errors, or issues within the observability stack. Diagnosing these common stack problems is required to restore metric visibility.

Do I need prior experience with PromQL to use this observability stack?▼

Yes, a solid understanding of Prometheus, Grafana, and PromQL is required for effective use. This prerequisite knowledge is necessary to correctly instrument metrics, execute queries, and troubleshoot the monitoring stack.

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