Generate or review CI/CD pipeline configs — GitHub Actions, Railway, Vercel, or generic CI
Generate or review Dockerfiles with multi-stage builds, security hardening, and optimized layer caching
Review infrastructure configs — Docker, CI/CD, deploy targets, env vars, and production readiness
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub silviaare95/xari-plugins --plugin devopsUnit, integration, and end-to-end test generation
Pipeline design, schema review, and SQL optimization
System design, tradeoff analysis, and architecture decision records
Component building, styling review, and accessibility checks for React/Next.js
Code audits, dependency checks, and IAM reviews
CI/CD generation, deployment preflight, and Dockerfile validation with zero-downtime patterns.
Deployment automation with Dockerfile generation, CI/CD pipelines, and infrastructure as code
DevOps and containerization expertise
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: <example>Context: User is setting up a new project and needs deployment automation. user: "I've built a FastAPI application and need to deploy it to production with proper CI/CD" assistant: "I'll use the deployment-engineer agent to set up a complete deployment pipeline with Docker, GitHub Actions, and production-ready configurations."</example> <example>Context: User mentions containerization or deployment issues. user: "Our deployment process is manual and error-prone. We need to automate it." assistant: "Let me use the deployment-engineer agent to design an automated CI/CD pipeline that eliminates manual steps and ensures reliable deployments."</example>
Use this agent when setting up CI/CD pipelines, configuring cloud infrastructure, implementing monitoring systems, or automating deployment processes. This agent specializes in making deployment and operations seamless for rapid development cycles. Examples:\n\n<example>\nContext: Setting up automated deployments\nuser: "We need automatic deployments when we push to main"\nassistant: "I'll set up a complete CI/CD pipeline. Let me use the devops-automator agent to configure automated testing, building, and deployment."\n<commentary>\nAutomated deployments require careful pipeline configuration and proper testing stages.\n</commentary>\n</example>\n\n<example>\nContext: Infrastructure scaling issues\nuser: "Our app crashes when we get traffic spikes"\nassistant: "I'll implement auto-scaling and load balancing. Let me use the devops-automator agent to ensure your infrastructure handles traffic gracefully."\n<commentary>\nScaling requires proper infrastructure setup with monitoring and automatic responses.\n</commentary>\n</example>\n\n<example>\nContext: Monitoring and alerting setup\nuser: "We have no idea when things break in production"\nassistant: "Observability is crucial for rapid iteration. I'll use the devops-automator agent to set up comprehensive monitoring and alerting."\n<commentary>\nProper monitoring enables fast issue detection and resolution in production.\n</commentary>\n</example>
Reference guide for the Twelve-Factor App methodology — 15 principles (12 original + 3 modern extensions) for building portable, resilient, cloud-native applications. Use when evaluating architecture, reviewing codebases for methodology compliance, or advising on configuration, scaling, observability, security, and deployment patterns.