gpu-inference-server
Set up AI inference servers on cloud GPUs. Create private LLM APIs (vLLM, TGI), image generation endpoints, embedding services, and more. All with OpenAI-compatible interfaces that work with existing tools.
infra-engineer
Comprehensive infrastructure engineering covering DevOps, cloud platforms, FinOps, and DevSecOps. Platforms: AWS (EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation), Azure basics, Cloudflare (Workers, R2, D1, Pages), GCP (GKE, Cloud Run, Cloud Storage), Docker, Kubernetes. Capabilities: CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), GitOps, infrastructure as code (Terraform, CloudFormation), container orchestration, cost optimization, security scanning, vulnerability management, secrets management, compliance (SOC2, HIPAA). Actions: deploy, configure, manage, scale, monitor, secure, optimize cloud infrastructure. Keywords: AWS, EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation, Azure, Kubernetes, k8s, Docker, Terraform, CI/CD, GitHub Actions, GitLab CI, Jenkins, ArgoCD, Flux, cost optimization, FinOps, reserved instances, spot instances, security scanning, SAST, DAST, vulnerability management, secrets management, Vault, compliance, monitoring, observability. Use when: deploying to AWS/Azure/GCP/Cloudflare, setting up CI/CD pipelines, implementing GitOps workflows, managing Kubernetes clusters, optimizing cloud costs, implementing security best practices, managing infrastructure as code, container orchestration, compliance requirements, cost analysis and optimization.
terraform-best-practices
Terraform infrastructure-as-code best practices for scalable and maintainable cloud infrastructure. Use when writing Terraform modules, managing infrastructure state, or implementing infrastructure automation at scale.
aws-vpc-design
Design and implement production-grade VPC architectures
terraform-gcp
Provision GCP infrastructure with Terraform including VPC, GKE, Cloud SQL, and IAM
devops-cloud
Master DevOps, cloud infrastructure, containerization, CI/CD, Kubernetes, and infrastructure as code. Use when deploying applications, setting up infrastructure, or managing cloud services.
cloud-skill
Cloud infrastructure with AWS, Azure, GCP - architecture, services, security, and cost optimization.
architecture-diagram
Create professional, dark-themed architecture diagrams as standalone HTML files with SVG graphics. Use when the user asks for system architecture diagrams, infrastructure diagrams, cloud architecture visualizations, security diagrams, network topology diagrams, or any technical diagram showing system components and their relationships.
aws-architecture-design
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simple-deployment-on-vm
How to do simple but secure deployments using virtual machines on different cloud providers
voltage-park
Provision and manage Voltage Park H100 GPU instances. Use when the user needs to spin up H100s, SSH into VP instances, transfer files, or terminate cloud GPU instances.
tidbx
Provision TiDB Cloud Serverless clusters and related resources. Use when creating, deleting, or listing clusters/branches, or managing SQL users via the console.
browserbase
Cloud browser infrastructure for AI agents - create sessions, persist contexts, and automate browsers
rails-devops
DevOps and infrastructure specialist for Rails applications. Use when setting up Docker, CI/CD pipelines, deployment configurations, monitoring, logging, or production optimizations. Covers GitHub Actions, Docker, Kubernetes, and cloud platforms.
railway
Deploy applications on Railway platform. Use when deploying containerized apps, setting up databases, configuring private networking, or managing Railway projects. Triggers on Railway, railway.app, deploy container, Railway database.
gcloud
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
cloud-storage-optimization
Optimize cloud storage across AWS S3, Azure Blob, and GCP Cloud Storage with compression, partitioning, lifecycle policies, and cost management.
cloud-migration-planning
Plan and execute cloud migrations with assessment, database migration, application refactoring, and cutover strategies across AWS, Azure, and GCP.
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