Agent skill · data analytics · aiskillstore

prometheus-configuration

Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

Why this skill is useful

Provides specific Prometheus configuration examples and best practices for metric collection and alerting that the AI wouldn't reliably generate on its own.

What it needs

Requires docker, helm installed locally. About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.

What this skill does

Prometheus Configuration Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules. Do not use this skill when The task is unrelated to prometheus configuration You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification. If detailed examples are required, open resources/implementation-playbook.md. Purpose Configure Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications. Use this skill when Set up Prometheus monitoring Configure metric scraping Create recording rules Design alert rules Implement service discovery Prometheus Architecture Installation Kubernetes with Helm Docker Compose Configuration File prometheus.yml: Reference: See assets/prometheus.yml.template Scrape Configurations Static Targets File-based Service Discovery targets/production.json: Kubernetes Service Discovery Reference: See references/scrape-configs.md Recording Rules Create pre-computed metrics for frequently queried expressions: Reference: See references/recording-rules.md Alert Rules Validation Reference: See scripts/validate-prometheus.sh Best Practices 1. Use consistent naming for metrics (prefixnameunit) 2. Set appropriate scrape intervals (15-60s typical) 3. Use recording rules for expensive queries 4. Implement high availability (multiple Prometheus instances) 5. Configure retention based on storage capacity 6. Use relabeling for metric cleanup 7. Monitor Prometheus itself 8. Implement federation for large deployments 9. Use Thanos/Cortex for long-term storage 10. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aiskillstore/prometheus-configuration

View the source on GitHub

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