devops-infrastructure
クラウドインフラ設計・IaC実装・監視設定・コンテナオーケストレーション。AWS、GCP、Azureのリソース構築、Terraform/Pulumi、Kubernetes、Docker、Prometheus/Grafana監視。「インフラ」「クラウド」「Terraform」「Kubernetes」「監視」「Docker」に関する質問で使用。
Best use case
devops-infrastructure is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
クラウドインフラ設計・IaC実装・監視設定・コンテナオーケストレーション。AWS、GCP、Azureのリソース構築、Terraform/Pulumi、Kubernetes、Docker、Prometheus/Grafana監視。「インフラ」「クラウド」「Terraform」「Kubernetes」「監視」「Docker」に関する質問で使用。
Teams using devops-infrastructure should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/devops-infrastructure/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How devops-infrastructure Compares
| Feature / Agent | devops-infrastructure | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
クラウドインフラ設計・IaC実装・監視設定・コンテナオーケストレーション。AWS、GCP、Azureのリソース構築、Terraform/Pulumi、Kubernetes、Docker、Prometheus/Grafana監視。「インフラ」「クラウド」「Terraform」「Kubernetes」「監視」「Docker」に関する質問で使用。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# DevOps インフラストラクチャ
## クイックスタート
### Terraform（AWS）
```hcl
terraform {
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0"
}
}
backend "s3" {
bucket = "my-terraform-state"
key = "prod/terraform.tfstate"
region = "ap-northeast-1"
}
}
provider "aws" {
region = "ap-northeast-1"
}
module "vpc" {
source = "terraform-aws-modules/vpc/aws"
version = "5.0.0"
name = "my-vpc"
cidr = "10.0.0.0/16"
azs = ["ap-northeast-1a", "ap-northeast-1c"]
private_subnets = ["10.0.1.0/24", "10.0.2.0/24"]
public_subnets = ["10.0.101.0/24", "10.0.102.0/24"]
enable_nat_gateway = true
}
```
### Kubernetes Deployment
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
spec:
replicas: 3
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: app
image: my-app:latest
ports:
- containerPort: 8080
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "256Mi"
cpu: "500m"
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
```
## インフラ設計原則
1. **Infrastructure as Code**: すべてのリソースをコード管理
2. **イミュータブル**: 変更は再作成で行う
3. **冗長性**: マルチAZ、リージョン分散
4. **最小権限**: IAMは必要最小限
5. **観測可能性**: メトリクス、ログ、トレース
## 詳細ガイド
- **Terraform パターン**: [reference/terraform.md](reference/terraform.md)
- **Kubernetes 運用**: [reference/kubernetes.md](reference/kubernetes.md)
- **監視・アラート**: [reference/monitoring.md](reference/monitoring.md)
- **セキュリティ**: [reference/security.md](reference/security.md)
## ユーティリティスクリプト
```bash
# Terraformコスト見積もり
python scripts/estimate_cost.py terraform.tfplan
# Kubernetes リソース分析
python scripts/analyze_k8s.py deployment.yaml
# セキュリティスキャン
python scripts/security_scan.py --provider aws
```
## ワークフロー: 新規インフラ構築
```
進捗チェックリスト:
- [ ] 1. 要件定義（可用性、スケーラビリティ、予算）
- [ ] 2. アーキテクチャ設計
- [ ] 3. Terraformコード作成
- [ ] 4. plan実行・レビュー
- [ ] 5. staging環境デプロイ
- [ ] 6. 監視・アラート設定
- [ ] 7. production環境デプロイ
- [ ] 8. ドキュメント作成
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