·prometheus
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prometheus

cosmix/loom

Prometheus monitoring and alerting for cloud-native observability. USE WHEN: Writing PromQL queries, configuring Prometheus scrape targets, creating alerting rules, setting up recording rules, instrumenting applications with Prometheus metrics, configuring service discovery. DO NOT USE: For building dashboards (use /grafana), for log analysis (use /logging-observability), for general observability architecture (use senior-infrastructure-engineer). TRIGGERS: metrics, prometheus, promql, counter, gauge, histogram, summary, alert, alertmanager, alerting rule, recording rule, scrape, target, label, service discovery, relabeling, exporter, instrumentation, slo, error budget.

34Installs·4Trend·@cosmix

Installation

$npx skills add https://github.com/cosmix/loom --skill prometheus

SKILL.md

Prometheus is a powerful open-source monitoring and alerting system designed for reliability and scalability in cloud-native environments. Built for multi-dimensional time-series data with flexible querying via PromQL.

PromQL is the query language for Prometheus. Key concepts: instant vectors, range vectors, scalar, string literals, selectors, operators, functions, and aggregation.

Prometheus supports multiple service discovery mechanisms for dynamic environments where targets appear and disappear.

Prometheus monitoring and alerting for cloud-native observability. USE WHEN: Writing PromQL queries, configuring Prometheus scrape targets, creating alerting rules, setting up recording rules, instrumenting applications with Prometheus metrics, configuring service discovery. DO NOT USE: For building dashboards (use /grafana), for log analysis (use /logging-observability), for general observability architecture (use senior-infrastructure-engineer). TRIGGERS: metrics, prometheus, promql, counter, gauge, histogram, summary, alert, alertmanager, alerting rule, recording rule, scrape, target, label, service discovery, relabeling, exporter, instrumentation, slo, error budget. Source: cosmix/loom.

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Install command
npx skills add https://github.com/cosmix/loom --skill prometheus
Category
{}Data Analysis
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is prometheus?

Prometheus monitoring and alerting for cloud-native observability. USE WHEN: Writing PromQL queries, configuring Prometheus scrape targets, creating alerting rules, setting up recording rules, instrumenting applications with Prometheus metrics, configuring service discovery. DO NOT USE: For building dashboards (use /grafana), for log analysis (use /logging-observability), for general observability architecture (use senior-infrastructure-engineer). TRIGGERS: metrics, prometheus, promql, counter, gauge, histogram, summary, alert, alertmanager, alerting rule, recording rule, scrape, target, label, service discovery, relabeling, exporter, instrumentation, slo, error budget. Source: cosmix/loom.

How do I install prometheus?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/cosmix/loom --skill prometheus Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/cosmix/loom