Generate, validate, and optimize PromQL queries for Prometheus and Grafana Cloud Metrics.
npx skills add https://github.com/n4vysh/dotfiles --skill promql-n4vysh
Please help me install this Agent Skill. Skill: promql Source: https://github.com/n4vysh/dotfiles/tree/main/home/dot_agents/skills/promql Command: npx skills add https://github.com/n4vysh/dotfiles --skill promql-n4vysh
Write, validate, and optimise PromQL queries for Prometheus and Grafana Cloud Metrics. Users need to craft accurate metrics queries for dashboards, alerts, and ad-hoc analysis, with correct rate/increase semantics, label aggregations, and histogram quantiles.
Ask me to generate a PromQL expression for a metric over a specified window, and I will return the corresponding query.
High-intent search queries and answers about installing and using this skill.
To calculate the PromQL rate of a Prometheus metric, you use the rate() function with a range vector selector, specifying the metric name and time window, such as rate(http_requests_total[5m]). This Skill generates and validates the correct syntax for your specific use case.
Computing histogram quantiles in PromQL requires the histogram_quantile() function applied to the summed bucket boundaries of your metric. This Skill generates optimized histogram_quantile queries and suggests best practices for long-lived Grafana dashboards.
Yes, you can aggregate time-series data across specific labels in PromQL using the sum by or avg by clauses. This Skill generates label aggregation queries and helps validate syntax to avoid high-cardinality label issues in Prometheus.
A PromQL increase function query returns empty results if the metric name, label matchers, or range vector time window are incorrect. This Skill validates input assumptions and explains semantic errors to debug time-series queries.
This Skill works with both self-hosted Prometheus and Grafana Cloud Metrics, generating and validating PromQL queries for time-series data. It supports tasks like computing rates, aggregations, and histogram quantiles across multi-service environments.
You should create recording rules for Prometheus metrics when you need to pre-compute heavy or frequently used expressions for dashboards and alerts. This Skill helps generate optimized recording rules to reduce query load and improve dashboard performance.
1k-offBuild Prometheus PromQL queries, drilldowns, and alert logic for Kubernetes observability.
CaneproWrite and optimize PromQL queries for Prometheus and Grafana Cloud Metrics.
RightNow-AIDesign Prometheus monitoring, PromQL queries, Alertmanager rules, and Grafana dashboards.
devkeniValidate PromQL query syntax, semantics, and optimization opportunities.
