promql-generator

Name: promql-generator
Availability: InStock
Author: Keni

Generate PromQL queries, alerting rules, and recording rules from monitoring requirements.

1|Updated Mar 27, 2026

Search Tags:#monitoring #dashboards #alerts #best-practices #prometheus #promql #recording-rules

Ready to run

npx skills add https://github.com/devkeni/Skills --skill promql-generator-devkeni

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: promql-generator
Source: https://github.com/devkeni/Skills/tree/main/backend-devops/promql-generator
Command: npx skills add https://github.com/devkeni/Skills --skill promql-generator-devkeni

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Generate and optimize PromQL queries, alerting rules, and recording rules from high-level monitoring requirements, ensuring consistency with Prometheus best practices.

Core Features & Use Cases

Interactive planning workflow to align queries with user goals (RED/USE patterns, histogram_percentiles, and recording rules)
Metric discovery and label-level filtering to minimize cardinality and improve performance
Output ready for dashboards, alerts, and recording rules, with validation guidance and references

Quick Start

Describe your monitoring goal and available metrics, and I will generate a tailored PromQL plan and final query.

Frequently Asked Questions about promql-generator

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

FAQPage Schema

How do I write PromQL queries for Grafana dashboards using RED or USE patterns?▼

Generating optimized PromQL queries requires an interactive planning stage to align metric expressions with RED or USE patterns, applying proper rate and histogram_quantile functions, and filtering labels to minimize cardinality while ensuring dashboard accuracy.

What's the best way to create Prometheus alerting rules with proper label filtering?▼

Creating Prometheus alerting rules involves a planning workflow that enforces PromQL best practices, ensuring correct metric-type usage and label-level filtering to generate ready-to-use Alertmanager rule configurations.

When do I need recording rules to optimize Prometheus query performance?▼

Recording rules are needed to optimize Prometheus query performance when frequently computing expensive expressions like histogram_quantile across services, pre-calculating them to reduce dashboard load and alert evaluation times.

How does metric discovery and label filtering affect PromQL cardinality?▼

Metric discovery and label-level filtering directly reduce PromQL cardinality by narrowing matched time series, preventing server overload and significantly improving query execution speed for dashboards and alerts.

Can I generate recording rules and alerting rules together from high-level monitoring requirements?▼

Yes, generating both recording and alerting rules from high-level monitoring requirements is possible by describing your monitoring goals and available metrics, which produces tailored PromQL plans with validation guidance.

Why do my histogram_quantile PromQL queries return inaccurate percentile results?▼

Histogram_quantile PromQL queries return inaccurate percentiles when applied without proper bucket alignment or label filtering, so enforcing documented patterns and metric-type best practices validates correct usage.