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grafana-prometheus

Instrument applications with Prometheus metrics and visualize them in Grafana dashboards.

30|5|Updated Jul 25, 2025
Search Tags:#monitoring#dashboards#MCP#observability#grafana#prometheus#alerting
One-click install
npx skills add https://github.com/phuetz/code-buddy --skill grafana-prometheus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: grafana-prometheus
Source: https://github.com/phuetz/code-buddy/tree/main/.codebuddy/skills/bundled/grafana-prometheus
Command: npx skills add https://github.com/phuetz/code-buddy --skill grafana-prometheus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a ready-to-use observability stack by combining Prometheus metrics collection with Grafana dashboards, enabling you to monitor applications, infrastructure, and services in real-time.

Core Features & Use Cases

  • End-to-end monitoring: instrument applications with Prometheus metrics, visualize data in Grafana, and configure alerts for proactive incidents.
  • Quick deployment: includes sample scrape configurations, PromQL queries, dashboard templates, and MCP integration for streamlined management.
  • Real-world scenario: imagine you operate a microservices platform; you can wire up metrics endpoints, create dashboards showing latency, error rates, and throughput, and set alerts to notify on anomalies.

Quick Start

Follow these steps to bootstrap your monitoring stack: install Prometheus and Grafana, apply the provided scrape config, load the example dashboards, and use the Grafana API to create dashboards and alerts.

Frequently Asked Questions about grafana-prometheus

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

FAQPage Schema
How do I set up Prometheus metrics collection with Grafana dashboards for application monitoring?▼

To set up Prometheus metrics collection with Grafana dashboards, you install both tools, apply the provided Prometheus scrape configuration, load example dashboard templates, and use the Grafana API to visualize application metrics like latency and throughput.

How do I configure Prometheus scrape jobs and PromQL queries for microservices observability?▼

Configuring Prometheus scrape jobs and PromQL queries for microservices involves applying the included sample scrape configurations to wire up metrics endpoints, then executing PromQL queries to calculate real-time latency, error rates, and throughput for visualization.

Can I automate Grafana dashboard creation and alerting using the Grafana API?▼

Yes, you can automate Grafana dashboard creation and alerting using the Grafana API and MCP server integration, which enables streamlined management of dashboard templates and proactive incident alerts for monitored applications.

What is the best way to integrate MCP server automation with a Prometheus and Grafana monitoring stack?▼

The best way to integrate MCP server automation with a Prometheus and Grafana monitoring stack is using the provided configuration templates, which enable automated API interactions for dashboard management and alerting within a Docker-based environment.

Why does my Prometheus monitoring setup need both scrape configurations and PromQL queries for Grafana visualization?▼

Your Prometheus monitoring setup needs scrape configurations to collect metrics from application endpoints and PromQL queries to aggregate that data, enabling Grafana dashboards to render real-time visualizations of infrastructure and service performance.

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