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Enables Claude to interact with Microsoft Copilot for AI assistance, search, and content generation via Playwright MCP
Apply SEO best practices for web applications including metadata, performance optimization, and search engine optimization techniques.
KVM/QEMU virtualization on Rocky Linux 8/9 including libvirt, virsh, virt-manager, virt-install, VM lifecycle management, storage pools, network configuration (NAT/bridged/macvtap), snapshots,...
Containerize and deploy Node.js applications with Docker including multi-stage builds, Docker Compose, and production optimization
Progressive Web Apps - service workers, caching strategies, offline, Workbox
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting...
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting...
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting...
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting...
Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist...
Comprehensive guidelines for responsive web design including mobile-first approach, flexible layouts, media queries, and cross-device optimization
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Optimize web application performance using code splitting, lazy loading, caching, compression, and monitoring. Use when improving Core Web Vitals and user experience.
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Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs...