senior-devops
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
npx skills add alirezarezvani/claude-skills --skill senior-devops --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Senior Devops Complete toolkit for senior devops with modern tools and best practices. ## Quick Start ### Main Capabilities This skill provides three core capabilities through automated scripts: ```bash # Script 1: Pipeline Generator — scaffolds CI/CD pipelines for GitHub Actions or CircleCI python scripts/pipeline_generator.py ./app --platform=github --stages=build,test,deploy # Script 2: Terraform Scaffolder — generates and validates IaC modules for AWS/GCP/Azure python scripts/terraform_scaffolder.py ./infra --provider=aws --module=ecs-service --verbose # Script 3: Deployment Manager — generates deployment manifests + runbooks with rollback support python3 scripts/deployment_manager.py deploy --env=staging --image=app:1.2.3 --strategy=blue-green --verbose --json ``` ## Core Capabilities ### 1. Pipeline Generator Scaffolds CI/CD pipeline configurations for GitHub Actions or CircleCI, with stages for build, test, security scan, and deploy. **Example — GitHub Actions workflow:** ```yaml # .github/workflows/ci.yml name: CI/CD Pipeline on: push: branches: [main, develop] pull_request: branches: [main] jobs: build-and-test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 -
- Quick Start
- Main Capabilities
- Core Capabilities
- 1. Pipeline Generator
- 2. Terraform Scaffolder
- 3. Deployment Manager
- Resources
- Development Workflow
- 1. Infrastructure Changes (Terraform)
- 2. Application Deployment
- 3. Rollback Procedure
- Multi-Cloud Cross-References
- Cloud-Agnostic IaC
- Terraform / OpenTofu (Default Choice)
Script 1: Pipeline Generator — scaffolds CI/CD pipelines for GitHub Actions or CircleCI python scripts/pipeline_generator.py ./app --platform=github --stages=build,test,deploy Script 2: Terraform Scaffolder — generates and validates IaC modules for AWS/GCP/Azure python scripts/terraform_scaffolder.py ./infra --provider=aws --module=ecs-service --verbose Script 3: Deployment Manager — generates deployment manifests + runbooks with rollback support python3 scripts/deployment_manager.py deploy --env=staging --image=app:1.2.3 --strategy=blue-green --verbose --json python scripts/pipeline_generator.py <project-path> --platform=github|circleci --stages=build,test,deploy python scripts/terraform_scaffolder.py <target-path> --provider=aws|gcp|azure --module=ecs-service|gke-deployment|aks-service [--verbose] python scripts/deployment_manager.py deploy \ python scripts/deployment_manager.py rollback --env=production --to-version=1.2.2
What does the senior-devops skill do?
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
How do I install it?
Run `npx skills add alirezarezvani/claude-skills --skill senior-devops --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.