Prometheus monitoring β scrape configuration, service discovery, recording rules, alert rules, and production deployment for infrastructure and application metrics.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install prometheus-devopsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install prometheus-devopsβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/prometheus-devops/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Prometheus can do for your AI workflow
Prometheus monitoring β scrape directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Prometheus
Help me get started with Prometheus
Explains what Prometheus does, walks through the setup, and runs a quick demo based on your current project
Use Prometheus to prometheus monitoring β scrape configuration, service discovery, re...
Invokes Prometheus with the right parameters and returns the result directly in the conversation
What can I do with Prometheus in my developer & devops workflow?
Lists the top use cases for Prometheus, with example commands for each scenario
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Prometheus extends your AI assistant with the ability to prometheus monitoring β scrape configuration, service discovery, recording rules, alert rules, and production deployment for infrastructure and application metrics. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Prometheus as its underlying capability.
Prometheus works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Prometheus once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Prometheus installs like any other MCP skill: drop the folder into `~/.claude/skills/prometheus-devops/` for global access, or `.claude/skills/prometheus-devops/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/prometheus-devops`, or let the AI decide when it's the right tool for your request.
Prometheus has 858 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/prometheus-devops/ for personal use (all projects), or .claude/skills/prometheus-devops/ for project-specific use. Restart your AI client, then invoke with /prometheus-devops or let the AI discover it automatically.
Prometheus supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Prometheus is free to install. Check the repository for licensing information.
Prometheus monitoring β scrape configuration, service discovery, recording rules, alert rules, and production deployment for infrastructure and application metrics.
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Identifies repetitive steps in your workflow and sets up Prometheus to handle them automatically
Prometheus is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
Prometheus
Prometheus monitoring patterns, cardinality management, alerting best practices, and PromQL traps.