deploying-monitoring-stacks

Name: deploying-monitoring-stacks
Rating: 0.9 (1 reviews)
Author: jeremylongshore

17.5

| This skill deploys monitoring stacks, including Prometheus, Grafana, and Datadog. It is used when the user needs to set up or configure monitoring infrastructure for applications or systems. The skill generates production-ready configurations, implements best practices, and supports multi-platform deployments. Use this when the user explicitly requests to deploy a monitoring stack, or mentions Prometheus, Grafana, or Datadog in the context of infrastructure setup.

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Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install jeremylongshore/claude-code-plugins-plus-skills/deploying-monitoring-stacks

OpenCode (CLI) Fast

skilz install jeremylongshore/claude-code-plugins-plus-skills/deploying-monitoring-stacks --agent opencode

OpenAI Codex (CLI) Native

skilz install jeremylongshore/claude-code-plugins-plus-skills/deploying-monitoring-stacks --agent codex

Gemini CLI (Project) Project

skilz install jeremylongshore/claude-code-plugins-plus-skills/deploying-monitoring-stacks --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills

2. Copy the agent skill directory:

 cp -r claude-code-plugins-plus-skills/backups/skills-batch-20251204-000554/plugins/devops/monitoring-stack-deployer/skills/monitoring-stack-deployer ~/.claude/skills/

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Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner: jeremylongshore (GitHub)
Repository: claude-code-plugins-plus-skills
Type: Non-Technical
Meta-Domain: general
Primary Domain: general
Sub-Domain: datadog dashboard
Market Score: 17.5

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