Grafana Cloud AI and ML features – Grafana Assistant (natural language queries, dashboard generation, incident investigations), Dynamic Alerting (ML forecasting and outlier detection).
Grafana Cloud AI and ML features - Grafana Assistant (natural language queries, dashboard generation, incident investigations), Dynamic Alerting (ML forecasting and outlier detection).This is the skill's description: the text your AI reads to decide when the skill applies.
grafana-ml-ai/SKILL.md
---
name: ml-ai
license: Apache-2.0
description: Turn on AI + ML features in Grafana Cloud — Grafana Assistant (NL → PromQL/LogQL/TraceQL, dashboard build, incident investigation, MCP integration), Dynamic Alerting (Prophet forecasting + DBSCAN outlier detection), Sift (8-analysis automated root-cause), Knowledge Graph + RCA Workbench, and the LLM Plugin (OpenAI / Anthropic / Azure / Ollama / vLLM / LiteLLM). Use when you want anomaly alerts without static thresholds, natural-language querying, automated incident investigation, dashboards generated from a sentence, or a managed LLM proxy for plugins — even when the user says "alert when something looks weird", "explain this PromQL", "find the root cause", "make this a dashboard", or "wire Claude into Grafana" without naming any of these products.
---
# Grafana Cloud AI & ML
> **Docs**: https://grafana.com/docs/grafana-cloud/alerting-and-irm/machine-learning/
ML alerting + automated RCA + LLM-powered Assistant in one Grafana Cloud stack.
## Prerequisites
- Grafana Cloud stack (Pro / Advanced — most features GA, some in preview)
- API token with `plugins:write` for ML / Sift / LLM-plugin endpoints
- For Dynamic Alerting: at least 14 days (ideally 90d) of history for the metric you want to forecast
## Common Workflows
### 1. Forecasting alert with Dynamic Alerting
```bash
# 1. Create forecast job (Prophet — learns daily/weekly seasonality)
curl -X POST https://<stack>.grafana.net/api/plugins/grafana-ml-app/resources/ml/v1/forecast \