Best skills for DevOps engineer
As a DevOps engineer, your edge comes from automation and deep toolchain mastery. The AI coding skills curated here streamline CI/CD pipelines and repository management. The 'Automated Release Process' skill is a standout: it generates reliable release scripts, handles versioning and changelogs, cutting manual errors. Pair it with 'Gitea CLI (tea)' to command your Gitea repos from the terminal—automating PR creation, milestone tracking, and code review. But watch out: don't cascade these automations unchecked; always test in staging first. Focus on skills that mesh with your existing stack (Git, Docker, Kubernetes). These AI assistants aren't a replacement for pipeline expertise, but they free you up for high-impact work. Evaluate each critically and adapt to your specific workflow.
24 skills selected
Repository Dashboard
DevOps
Display repository status with PRs, issues, CI/CD health, and suggested tasks.
Using glab (GitLab CLI)
DevOps
Expert guidance for using the GitLab CLI (glab) to manage issues, merge requests, CI/CD pipelines, repositories, and other GitLab operations from the command line.
Laravel Verification Loop
DevOps
Complete verification workflow for Laravel projects: environment checks, linting, static analysis, test coverage, security audit, and deployment readiness.
Frappe HRMS Deployment to AWS
DevOps
Deploy Frappe HRMS code changes to AWS production, handling Docker rebuilds for Python/API changes with automatic bypass of caching when needed. Use it for deploying to the Docker Swarm infrastructure on EC2, especially when code changes require a fresh Docker build to avoid stale layers.
GitHub Expert for Calculadora-BMC
DevOps
Operational guide for GitHub workflows: branches, commits, PRs, CI checks, review flow, labels, and merge policy for the Calculadora-BMC repo.
Kubernetes Architect
DevOps
Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps, and enterprise container orchestration.
Resource Provisioning
DevOps
Automate resource provisioning across cloud providers, bare metal, and virtual machines. Use for creating, managing, or automating infrastructure provisioning workflows.
Cpln: Multi-Cloud Deployment
DevOps
Deploy and manage containerized workloads across multiple clouds with a unified CLI and platform. Includes secret management, GitOps automation, and AI plugin integration.
Operational Runbook Documentation
DevOps
Document CI/CD, deployment, and operational procedures in structured runbooks. Use when creating or updating how-to guides for deployments, database migrations, incident response, and maintenance tasks. Ensures procedures include copy-paste commands, rollback steps, and risk levels.
kube-coder preflight (run CI locally)
DevOps
Run kube-coder's full CI suite locally before pushing: helm lint, unit tests, SPA builds, vitest, and shell checks. Ensures CI green on first push.
OmniStudio DataPack Deployment
DevOps
Automate Salesforce OmniStudio DataPack deployment using Vlocity Build commands: packDeploy, packRetry, packExport, and more.
Deploying Kafka on Kubernetes with Strimzi
DevOps
Deploys Apache Kafka clusters on Kubernetes using the Strimzi operator with KRaft mode. Covers installation, cluster creation, topic management, and producer/consumer testing.
Infrastructure Change Workflow
DevOps
Safe infrastructure change workflow: pre-flight checks, branch creation, logically grouped commits, and push.
kubectl - Kubernetes Cluster Management
DevOps
Provides CLI operations for managing Kubernetes clusters using kubectl. Includes tools to inspect and manipulate pods, deployments, and services, such as listing, scaling, and viewing logs. Helps DevOps and developers interact with Kubernetes infrastructure efficiently.
Git Flow Release Process
DevOps
Complete guide for creating releases following Git Flow strategy with automated CI/CD. Handles semantic versioning, release branch creation, and automatic publishing.
Dockerfile Review
DevOps
Audit Dockerfiles for security, efficiency, and best practices. Identify critical issues, warnings, and suggestions with corrected code examples.
Deployment Pipeline Design
DevOps
Designs multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Ideal for architecting deployment workflows, setting up continuous delivery, or implementing progressive delivery.
DigitalOcean Infrastructure with Terraform
DevOps
Skill for provisioning DigitalOcean resources (Droplets, VPCs, Firewalls) using OpenTofu/Terraform. Includes provider setup and common patterns.
Vercel CI Integration
DevOps
Set up automated Vercel deployments with GitHub Actions, preview deployments, and automated testing.
DevOps Orchestration Patterns
DevOps
This skill offers DevOps orchestration patterns for setting up CI/CD pipelines, performing zero-downtime deployments, managing infrastructure as code (Terraform, Kubernetes), and establishing monitoring and incident response. It helps automate deployment workflows and ensure reliable production operations.
Kubernetes - Deployment and Operations
DevOps
Covers Kubernetes resource configuration, deployment strategies, cluster architecture, security hardening, Helm chart development, and production operations. Helps create production-ready manifests, troubleshoot cluster issues, and implement security best practices.
Mastering GitHub CLI
DevOps
Complete GitHub CLI (gh) command reference for repository search, CI/CD monitoring, resource creation, and workflow automation.
Ship It!
DevOps
Finalize and ship changes with quality checks, commits, and PR creation.
DevOps Engineer
DevOps
A skill for containerization, CI/CD automation, deployment workflows, and runtime operations with Docker, Docker Compose, and GitHub Actions.
How to choose
- How are these skills selected?
- An algorithm picks them among the published skills that match this page's criteria, such as category, tags or compatible tools. It ranks them by the quality score a language model gave them. On ranking pages, it also weighs GitHub stars and the security rating. Nobody reviews them one by one.
- What do the security ratings mean?
- A language model reads the SKILL.md file, without running it, and gives it a rating. Safe means it sees no meaningful execution risk. Caution means the skill uses powerful tools such as bash, docker or the network for a legitimate purpose. Risky means it asks for destructive actions, for secrets to be sent out, or for obfuscated code to run; a skill rated Risky is never published. The rating does not replace your own reading of the file.
- How do I install a skill?
- Open any skill page and follow its install instructions for your tool — Claude Code, Cursor or Copilot. Each skill lists the exact steps so you can get it running in a couple of minutes.