
from ai-design-components371
Guidance and decision trees for deploying applications: Kubernetes, serverless, edge functions, IaC choices and GitOps workflows for production deployments.
This skill is a deployment playbook: it helps choose the right deployment strategy (Kubernetes, serverless, containers, edge), outlines IaC recommendations (Pulumi, OpenTofu, SST), and provides GitOps and CI/CD workflows (ArgoCD, Flux). It includes practical quick-start workflows and troubleshooting guidance for common deployment failures.
Use when planning or executing production deployments, setting up CI/CD, migrating infrastructure, or choosing between edge/serverless/container platforms. It's triggered by deployment, infrastructure, or CI/CD questions and by requests to automate or validate deployment processes.
Best used with agents that can read repo examples and run shell commands (Claude Code, Copilot-style assistants, developer-focused agents). Also valuable as a human-facing guide for engineers planning deployments.
Deployment guidance skill with decision trees for K8s, serverless, and edge deployments. Two Python scripts generate K8s manifests and validate deployment configs — both require mandatory CLI args and fail gracefully with usage messages when invoked dry. Scripts are well-structured with argparse and type hints but lack dry-run defaults. SKILL.md is thorough with good progressive disclosure and reference links.
Solid reference/guidance skill. F-string YAML generation is a minor injection risk for manifest content but not a security vulnerability in the traditional sense. No network calls, no credential handling, no destructive operations.