grafana-dashboards

Design and manage Grafana dashboards with templated JSON templates.

4|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill grafana-dashboards-ai-foundry-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grafana-dashboards
Source: https://github.com/AI-Foundry-Core/ril-agents/tree/main/plugins/observability-monitoring/skills/grafana-dashboards
Command: npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill grafana-dashboards-ai-foundry-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

Grafana dashboards are essential for real-time observability but are often built ad-hoc without consistency. This Skill provides production-ready dashboard templates and design guidance to standardize monitoring across services and environments.

Core Features & Use Cases

  • Production-ready Grafana dashboards for API, infrastructure, and application monitoring.
  • Dashboard templates with panels for key metrics, error rates, latency, and service health.
  • Guideline-based design patterns and variable-driven dashboards to support multiple environments.

Quick Start

Design and provision a new API Monitoring dashboard using the templates and connect it to your Prometheus data source.

Frequently Asked Questions about grafana-dashboards

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

FAQPage Schema
How do I create consistent Grafana dashboards for real-time observability across multiple environments?

Grafana dashboards for real-time observability are standardized using production-ready templates and provisioning assets. You create consistent monitoring across services by applying variable-driven designs that support multiple environments from a single reusable JSON template.

What is the best way to monitor API latency and error rates using Grafana and Prometheus?

Monitoring API latency and error rates is achieved by deploying templated Grafana dashboards connected to a Prometheus data source. The templates provide pre-built panels for key metrics, service health, and error rates to visualize time-series data immediately.

Can I provision Grafana dashboards automatically using JSON templates?

Grafana dashboards can be provisioned automatically using Grafana-compatible JSON templates and provisioning assets. This approach ensures consistent design and deployment across services by applying reusable, variable-driven dashboard configurations directly to your environment.

Do I need a specific data source configured to use these Grafana dashboard templates?

A Prometheus data source is required to populate the metrics in these Grafana dashboard templates. You must connect your Grafana instance to Prometheus to visualize the time-series data for API, infrastructure, and application monitoring panels.

What metrics should I include in a Grafana dashboard for infrastructure monitoring?

Infrastructure monitoring dashboards should include panels for key metrics, error rates, latency, and overall service health. The templates provide guideline-based design patterns to ensure your time-series observability data is visualized consistently.

How do variable-driven Grafana dashboards support monitoring across different environments?

Variable-driven Grafana dashboards support multiple environments by dynamically filtering metrics within a single template. This design pattern standardizes real-time observability across services without requiring separate dashboard configurations for each deployment.