Agent skill · software engineering · samhvw8
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.
Why this skill is useful
Adds detailed automation scripts for CI/CD pipelines and infrastructure as code that enhance cloud deployment capabilities.
What it needs
Requires docker, terraform installed locally. Requires aws, azure, cloudflare, gcp account access. About 11k tokens when loaded. Last updated 2025-12-09. 10 stars on the source repository.
What this skill does
Infrastructure Engineering Skill Comprehensive guide for modern infrastructure engineering covering DevOps practices, multi-cloud platforms (AWS, Azure, GCP, Cloudflare), FinOps cost optimization, and DevSecOps security practices. When to Use This Skill Use this skill when: DevOps: Setting up CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), implementing GitOps workflows (ArgoCD, Flux) AWS: Deploying to EC2, Lambda, ECS, EKS, managing S3, RDS, using CloudFormation/CDK Azure: Working with Azure VMs, App Service, AKS, Azure Functions, Storage Accounts GCP: Managing Compute Engine, GKE, Cloud Run, Cloud Storage, App Engine Cloudflare: Deploying Workers, R2 storage, D1 databases, Pages applications Kubernetes: Managing clusters, deployments, services, ingress, Helm charts, operators Docker: Containerizing applications, multi-stage builds, Docker Compose, registries FinOps: Analyzing cloud costs, optimizing spend, reserved instances, spot instances, rightsizing DevSecOps: Security scanning (SAST/DAST), vulnerability management, secrets management, compliance IaC: Terraform, CloudFormation, Pulumi, configuration management Monitoring: Setting up observability, logging, metrics, alerting, distributed tracing Platform Selection Guide When to Use AWS Best For: General-purpose cloud computing at scale Mature ecosystem with 200+ services Enterprise workloads with compliance requirements Hybrid cloud with AWS Outposts Extensive third-party integrations Advanced networking and security controls Key Services: EC2 (virtual machines, flexible compute) Lambda (serverless functions, event-driven) ECS/EKS (container orchestration) S3 (object storage, industry standard) RDS (managed relational databases) DynamoDB (NoSQL, global tables) CloudFormation/CDK (infrastructure as code) IAM (identity and access management) VPC (virtual private cloud networking) Cost Profile: Pay-as-you-go, reserved instances (up to 72% discount), savings plans, spot instances (up to 90% discount) When to U …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills samhvw8/infra-engineer