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ml-ai

Automate AI-powered insights and alerting in Grafana Cloud.

213|18|Updated Mar 17, 2026
Search Tags:#automation#ai#dashboard#nlp#alerts#grafana#grafana-cloud
One-click install
npx skills add https://github.com/grafana/skills --skill ml-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ml-ai
Source: https://github.com/grafana/skills/tree/main/skills/grafana-cloud/ml-ai
Command: npx skills add https://github.com/grafana/skills --skill ml-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Grafana Cloud AI & ML features streamline incident investigations, automate natural language to queries, create dashboards from descriptions, and unify ML-driven alerting with AI assistants.

Core Features & Use Cases

  • Grafana Assistant for natural language queries, dashboard generation, and incident investigation.
  • Dynamic Alerting with ML-based forecasting and anomaly detection.
  • Sift for automated root-cause analysis with multiple analysis types.
  • Knowledge Graph auto-discovery and RCA Workbench to map service relationships.
  • LLM Plugin integration for OpenAI/Anthropic/Azure and provider proxies.

Quick Start

Enable Grafana Assistant and the LLM Plugin in Grafana Cloud to start querying metrics with natural language and generating dashboards.

Frequently Asked Questions about ml-ai

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

FAQPage Schema
How do I use natural language to generate dashboards and query metrics in Grafana?▼

You can use natural language to generate dashboards and query metrics in Grafana by enabling the Grafana Assistant, which translates text descriptions into queries and visualizations automatically.

How does ML-based forecasting and anomaly detection work for Grafana Cloud alerting?▼

ML-based forecasting and anomaly detection for Grafana Cloud alerting works by using Dynamic Alerting to automatically evaluate metric patterns and trigger alerts without static thresholds.

What is the best way to automate root-cause analysis for Grafana incident investigations?▼

The best way to automate root-cause analysis for Grafana incident investigations is using Sift for automated analysis and the Knowledge Graph RCA Workbench to map service relationships.

Do I need a specific LLM provider to use AI features in Grafana Cloud?▼

To use AI features in Grafana Cloud you need to configure the LLM Plugin, which supports integrations with OpenAI, Anthropic, Azure, and provider proxies.

Can I use Grafana Assistant and Sift without enabling the LLM Plugin?▼

Grafana Assistant and Sift require the LLM Plugin to be enabled in Grafana Cloud, as it provides the underlying artificial intelligence integration needed for queries and root-cause analysis.

Does Grafana Cloud support auto-discovery for mapping service relationships during incidents?▼

Grafana Cloud supports auto-discovery for mapping service relationships during incidents through the Knowledge Graph feature, which visually maps dependencies to aid root-cause analysis.

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