monitoring-observability

6 stars 0 forks Updated Nov 1, 2025

66.0

Monitoring and observability strategy, implementation, and troubleshooting. Use for designing metrics/logs/traces systems, setting up Prometheus/Grafana/Loki, creating alerts and dashboards, calculating SLOs and error budgets, analyzing performance issues, and comparing monitoring tools (Datadog, ELK, CloudWatch). Covers the Four Golden Signals, RED/USE methods, OpenTelemetry instrumentation, log aggregation patterns, and distributed tracing.

Marketplace

#monitoring observability description#observability description monitoring#description monitoring observability#monitoring observability overview#monitoring observability

Also in: monitoring kubernetes data analysis

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation

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Claude Code (CLI) Fast

skilz install ahmedasmar_devops-claude-skills/monitoring-observability

OpenCode (CLI) Fast

skilz install ahmedasmar_devops-claude-skills/monitoring-observability --agent opencode

OpenAI Codex (CLI) Native

skilz install ahmedasmar_devops-claude-skills/monitoring-observability --agent codex

Gemini CLI (Project) Project

skilz install ahmedasmar_devops-claude-skills/monitoring-observability --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 Skill ZIP

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

Manual Installation

1. Clone the repository:

git clone https://github.com/ahmedasmar/devops-claude-skills

2. Copy the skill directory:

cp -r devops-claude-skills/monitoring-observability ~/.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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Details

Owner: ahmedasmar
Repository: devops-claude-skills
Stars: 6
Forks: 0
Type: Technical
Meta-Domain: data ai
Primary Domain: database
Sub-Domain: documentation python
Skill Size: 347.6 KB
Files: 21
Quality Score: 66.0

AI-Detected Topics

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monitoring observability description observability description monitoring description monitoring observability monitoring observability overview monitoring observability

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