prom-query

You can query Prometheus metrics using natural language, which the skill translates into PromQL for common patterns like error rates, latency, CPU, and memory. This allows you to retrieve and interpret metrics without deep PromQL knowledge.

Yes, you can perform instant queries, range queries with downsampling, and alert triage across Prometheus-compatible backends including VictoriaMetrics. It enforces read-only access to ensure safe metric analysis during incident response.

It works seamlessly with Thanos and Mimir backends, alongside standard Prometheus and VictoriaMetrics. The skill provides cross-backend compatibility for health checks and performance monitoring without requiring separate query configurations.

You set the PROMETHEUS_URL environment variable and run a basic connectivity query. The skill handles secure token handling and returns structured output, making the metric insights readily available for downstream agents.

The primary limitation is that natural language translation targets common observability patterns like error rates and CPU usage. Highly complex or custom PromQL expressions outside standard alert triage scenarios may still require manual query construction.

The best way to triage alerts and check system health is using natural language queries that translate to PromQL across Prometheus-compatible backends. This enforces read-only access and structured output for efficient incident response.