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Found 107 Skills
Deployment patterns from Kubernetes to serverless and edge functions. Use when deploying applications, setting up CI/CD, or managing infrastructure. Covers Kubernetes (Helm, ArgoCD), serverless (Vercel, Lambda), edge (Cloudflare Workers, Deno), IaC (Pulumi, OpenTofu, SST), and GitOps patterns.
This skill guides writing Infrastructure as Code using OpenTofu (open-source Terraform fork). Use when creating .tf files, managing cloud infrastructure, configuring providers, or designing reusable modules.
AWS development best practices for Lambda, SAM, CDK, DynamoDB, IAM, and serverless architecture using Infrastructure as Code.
Provides comprehensive guidance for Terraform infrastructure as code including resource definition, state management, modules, and cloud provider integration. Use when the user asks about Terraform, needs to define infrastructure as code, manage cloud resources, or work with Terraform modules.
Terraform infrastructure as code with providers and state management. Use for cloud provisioning.
Railway platform for instant deployments. Use for simple hosting.
Pulumi infrastructure as code with programming languages. Use for IaC.
Use when writing Terraform for OCI, troubleshooting provider errors, managing state files, or implementing Resource Manager stacks. Covers terraform-provider-oci gotchas, resource lifecycle anti-patterns, state management mistakes, authentication issues, and OCI Landing Zones.
Ansible Role Creator - Auto-activating skill for DevOps Advanced. Triggers on: ansible role creator, ansible role creator Part of the DevOps Advanced skill category.
Grafana Dashboard Creator - Auto-activating skill for DevOps Advanced. Triggers on: grafana dashboard creator, grafana dashboard creator Part of the DevOps Advanced skill category.
Comprehensive best practices for Terraform infrastructure as code from Anton Babenko's community guide
Professional DevOps engineering skill for creating CI/CD pipelines, implementing infrastructure as code, managing environments, and establishing monitoring and observability across all deployment stages.