Devops Expert

This one gives you battle-tested DevOps patterns with actual runnable examples. You get complete CI/CD pipeline configs for GitHub Actions, infrastructure as code with Pulumi for AWS, and implementations of blue-green, canary, and rolling deployment strategies in Python. The focus is practical: breaking down silos, automating everything, and treating pipelines as code. If you're setting up deployment automation or need reference implementations for different release strategies, this has the specifics rather than just theory. The deployment strategy code is especially useful since it shows the actual logic for traffic splitting and health checks during canary releases.

skills.sh installs: 207
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill devops-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

DevOps Expert

Expert guidance for DevOps practices, culture, CI/CD pipelines, infrastructure automation, and operational excellence.

Core Concepts

DevOps Culture

Collaboration and communication
Shared responsibility
Continuous improvement
Breaking down silos
Blameless culture
Measuring everything

Automation

Infrastructure as Code (IaC)
Configuration management
Deployment automation
Testing automation
Monitoring automation
Self-service platforms

CI/CD

Continuous Integration
Continuous Delivery
Continuous Deployment
Pipeline as Code
Artifact management
Release strategies

CI/CD Pipeline

# GitHub Actions Example
name: CI/CD Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

env:
  REGISTRY: ghcr.io
  IMAGE_NAME: ${{ github.repository }}

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '18'
          cache: 'npm'

      - name: Install dependencies
        run: npm ci

      - name: Run linting
        run: npm run lint

SKILL.md on GitHub