Discover blockchain cloud skills, compare source repositories and read the instructions for each workflow.
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring....
AWS and CDK (TypeScript) expert with strict safety protocols preventing automated deployment/destruction.
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, C...
Operations for local container stacks defined in docker-compose.yaml or docker-compose/ directory. Handles AI/ML services (Ollama, ComfyUI), standalone databases, and local observability stacks. Use for 'docker...
Archive immutable audit trails for accountability.
Kubernetes deployment patterns and best practices. Use when creating Kubernetes manifests, Helm charts, configuring pods, services, deployments, or troubleshooting K8s clusters.
Terraform infrastructure as code patterns and best practices. Use when writing Terraform configurations, creating modules, managing state, or designing IaC architectures.
AWS cloud infrastructure patterns and best practices. Use when designing AWS architectures, creating Lambda functions, configuring S3 buckets, setting up EC2 instances, designing VPCs, or implementing any AWS s...
This skill should be used when the user asks about "deploying", "production", "Agent Engine", "Vertex AI", "Cloud Run", "GKE", "Kubernetes", "hosting", "scaling", "guardrails", "safety", "content filtering", "i...
Generates or updates CI/CD pipeline configurations for GitHub Actions, GitLab CI, or CircleCI. Use when the user asks to set up CI/CD, create workflows, automate deployment, or mentions GitHub Actions, pipeline...
Expert guidance for deploying and managing applications across AWS and Azure cloud platforms. Use when deploying to AWS, Azure, managing cloud infrastructure, or implementing multi-cloud strategies.
Expert guidance for Docker containerization and Kubernetes orchestration. Use when containerizing applications, managing multi-container setups with Docker Compose, or deploying to Kubernetes clusters.
Domain specialist for infrastructure, CI/CD, containers, observability, and DevOps operations. Scope: CI/CD pipelines, containerization, infrastructure as code, monitoring and observability, container security,...
Эксперт по container registry. Используй для настройки ECR, Harbor, Docker Hub, image security и CI/CD интеграции.
Эксперт по S3 политикам. Используй для IAM policies, bucket permissions, cross-account access и security best practices.
Эксперт по Terraform state. Используй для управления состоянием, remote backends, state migration и troubleshooting.
Эксперт по CloudWatch алармам. Используй для настройки мониторинга AWS, метрик, порогов и уведомлений.
Эксперт по Terraform модулям. Используй для создания переиспользуемых модулей, variables, outputs и best practices.
Эксперт по политикам бэкапов. Используй для стратегий резервного копирования, retention rules и disaster recovery.
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, C...
High availability templates and configs
Google Cloud Platform configuration templates for BigQuery ML and Vertex AI training with authentication setup, GPU/TPU configs, and cost estimation tools. Use when setting up GCP ML training, configuring BigQu...
Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment. Use when deploying FastAPI apps, setting up production env...
Cost estimation scripts and tools for calculating GPU hours, training costs, and inference pricing across Modal, Lambda Labs, and RunPod platforms. Use when estimating ML training costs, comparing platform pric...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.