/deployment-automation
Automate deployments across environments using Helm, Terraform, and ArgoCD. Implement blue-green deployments, canary releases, and rollback strategies.
$ npx -y skills add aj-geddes/useful-ai-prompts --skill deployment-automation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/deployment-automation
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The summary Claude sees to decide when to auto-load this skill.
Automate deployments across environments using Helm, Terraform, and ArgoCD. Implement blue-green deployments, canary releases, and rollback strategies.
SKILL.md
deployment-automation.SKILL.mdname: deployment-automation
description: >
Automate deployments across environments using Helm, Terraform, and ArgoCD.
Implement blue-green deployments, canary releases, and rollback strategies.
Deployment Automation
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
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)Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Helm Deployment Chart](references/helm-deployment-chart.md) | Helm Deployment Chart | | [GitHub Actions Deployment Workflow](references/github-actions-deployment-workflow.md) | GitHub Actions Deployment Workflow | | [ArgoCD Deployment](references/argocd-deployment.md) | ArgoCD Deployment | | [Blue-Green Deployment](references/blue-green-deployment.md) | Blue-Green Deployment |
Best Practices
✅ DO
- Use Infrastructure as Code (Terraform, Helm)
- Implement GitOps workflows
- Use blue-green deployments
- Implement canary releases
- Automate rollback procedures
- Test deployments in staging first
- Use feature flags for gradual rollout
- Monitor deployment health
- Document deployment procedures
- Implement approval gates for production
- Version infrastructure code
- Use environment parity
❌ DON'T
- Deploy directly to production
- Skip testing in staging
- Use manual deployment scripts
- Deploy without rollback plan
- Ignore health checks
- Use hardcoded configuration
- Deploy during critical hours
- Skip pre-deployment validation
- Forget to backup before deploy
- Deploy from local machines
Read more
name: deployment-automation description: > Automate deployments across environments using Helm, Terraform, and ArgoCD. Implement blue-green deployments, canary releases, and rollback strategies.
Deployment Automation
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
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)Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Helm Deployment Chart](references/helm-deployment-chart.md) | Helm Deployment Chart | | [GitHub Actions Deployment Workflow](references/github-actions-deployment-workflow.md) | GitHub Actions Deployment Workflow | | [ArgoCD Deployment](references/argocd-deployment.md) | ArgoCD Deployment | | [Blue-Green Deployment](references/blue-green-deployment.md) | Blue-Green Deployment |
Best Practices
✅ DO
- Use Infrastructure as Code (Terraform, Helm)
- Implement GitOps workflows
- Use blue-green deployments
- Implement canary releases
- Automate rollback procedures
- Test deployments in staging first
- Use feature flags for gradual rollout
- Monitor deployment health
- Document deployment procedures
- Implement approval gates for production
- Version infrastructure code
- Use environment parity
❌ DON'T
- Deploy directly to production
- Skip testing in staging
- Use manual deployment scripts
- Deploy without rollback plan
- Ignore health checks
- Use hardcoded configuration
- Deploy during critical hours
- Skip pre-deployment validation
- Forget to backup before deploy
- Deploy from local machines
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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