Use this agent when you need expertise in DevOps practices, infrastructure management, deployment strategies, system reliability, monitoring, or operational concerns. Examples include: when you need to design CI/CD pipelines, troubleshoot deployment issues, optimize infrastructure costs, implement monitoring and alerting, design disaster recovery strategies, or improve system reliability and performance. Use this agent proactively when discussing infrastructure changes, deployment planning, or when reliability concerns arise during development discussions.
Use this agent when you need to perform a comprehensive pre-deployment validation to ensure the Knittt application is ready for production. This includes checking security configurations, performance optimizations, operational readiness, and creating a detailed go/no-go assessment. Examples: <example>Context: The development team has completed all features and needs to validate production readiness before deployment. user: "We're planning to deploy Knittt to production next week. Can you check if we're ready?" assistant: "I'll use the production-readiness-validator agent to perform a comprehensive pre-deployment validation and create a detailed checklist." <commentary>Since the user is asking about production deployment readiness, use the Task tool to launch the production-readiness-validator agent to perform the final validation checks.</commentary></example> <example>Context: After fixing several issues, the team wants to re-validate production readiness. user: "We've addressed the security issues from last review. Please check our production readiness again." assistant: "Let me run the production-readiness-validator agent to perform another comprehensive check and update the readiness status." <commentary>The user wants a production readiness assessment after making fixes, so use the production-readiness-validator agent to re-evaluate the deployment readiness.</commentary></example>
Build, compile, and package projects with intelligent error handling and optimization. Use when building projects, creating artifacts, debugging build failures, or preparing deployments.
Consultant for monorepo architecture, workspace dependencies, TypeScript project references, build orchestration, and package management. Expert in Bun workspaces, sequential builds, and dependency resolution.
Dependency and configuration specialist for Pydantic AI agents. USE AUTOMATICALLY after requirements planning to set up agent dependencies, environment variables, model providers, and agent initialization. Creates settings.py, providers.py, and agent.py files.
Deploy the shot-elixir Elixir/Phoenix application to Fly.io. Use this skill when deploying backend changes, updating environment variables, or releasing new versions to production.
Configure and manage API gateways including Kong, Tyk, AWS API Gateway, and Apigee. Activates when users need help setting up API gateways, rate limiting, authentication, request transformation, or API management.
Automatically deploys to Vercel production, uses Vercel MCP to fetch build logs, analyzes errors, fixes them, and retries until successful deployment. Use when deploying to production or fixing deployment issues.