Deployment Automation

Handles the full deployment pipeline from Helm charts to GitOps with ArgoCD. You get patterns for blue-green and canary deployments, plus Terraform for infrastructure provisioning. The reference guides include actual GitHub Actions workflows and Kubernetes manifests, not just theory. Most useful when you're moving beyond manual kubectl applies and want proper multi-environment promotion with automated rollbacks. The best practices section is solid on the GitOps fundamentals, though the real value is in having working examples of deployment strategies that are surprisingly tricky to get right the first time.

skills.sh installs: 475
GitHub stars: 379
last updated: Aug 21, 2026

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Install

$ npx -y skills add aj-geddes/useful-ai-prompts --skill deployment-automation --agent claude-code

Installs into .claude/skills of the current project.

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Overview

Establish automated deployment pipelines that safely and reliably move applications across development, staging, and production environments with minimal manual intervention and risk.

When to Use

Continuous deployment to Kubernetes
Infrastructure as Code deployment
Multi-environment promotion
Blue-green deployment strategies
Canary release management
Infrastructure provisioning
Automated rollback procedures

Quick Start

Minimal working example:

# helm/Chart.yaml
apiVersion: v2
name: myapp
description: My awesome application
type: application
version: 1.0.0

# helm/values.yaml
replicaCount: 3
image:
  repository: ghcr.io/myorg/myapp
  pullPolicy: IfNotPresent
  tag: "1.0.0"
service:
  type: ClusterIP
  port: 80
  targetPort: 3000
resources:
  requests:
    memory: "256Mi"
    cpu: "250m"
  limits:
    memory: "512Mi"
    cpu: "500m"
autoscaling:
// ... (see reference guides for full implementation)