القائمة
Cloud and DevOps expert including AWS, GCP, Azure, and Terraform
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/oimiragieo/agent-studio --skill cloud-devops-expertيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Agent frontmatter enhancements — disallowedTools, mcpServers scoping, fork_eligible field
Context management — pre-compact persistence, threshold alignment, microcompact/circuit breaker detection
Hook enhancements — updatedInput for bash safety prefixes, suppressOutput for verbose blocks, denial-based routing feedback
عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | cloud-devops-expert |
| description | Cloud and DevOps expert including AWS, GCP, Azure, and Terraform |
| version | 1.0.0 |
| model | sonnet |
| invoked_by | both |
| user_invocable | true |
| tools | ["Read","Write","Edit","Bash","Grep","Glob"] |
| consolidated_from | 1 skills |
| best_practices | ["Follow domain-specific conventions","Apply patterns consistently","Prioritize type safety and testing"] |
| error_handling | graceful |
| streaming | supported |
| verified | false |
| lastVerifiedAt | "2026-02-19T05:29:09.098Z" |
| source | builtin |
| trust_score | 100 |
| provenance_sha | b8c2d788009cb5fe |
Core Services:
Best Practices:
Core Services:
Best Practices:
Core Services:
Best Practices:
Project Structure:
terraform/
├── environments/
│ ├── dev/
│ │ ├── main.tf
│ │ ├── variables.tf
│ │ └── terraform.tfvars
│ ├── staging/
│ └── prod/
├── modules/
│ ├── vpc/
│ ├── eks/
│ └── rds/
└── global/
└── backend.tf
Code Organization:
Terraform Workflow:
# Initialize
terraform init
# Plan (review changes)
terraform plan -out=tfplan
# Apply (execute changes)
terraform apply tfplan
# Destroy (when needed)
terraform destroy
Best Practices:
terraform fmt for consistent formattingterraform validate to check syntaxterraform import for existing resourcesrequired_version = "~> 1.5"data sources for referencing existing resourcesdepends_on for explicit resource dependenciesDeployment Strategies:
Resource Management:
apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp
spec:
replicas: 3
selector:
matchLabels:
app: myapp
template:
metadata:
labels:
app: myapp
spec:
containers:
- name: myapp
image: myapp:v1.0.0
resources:
requests:
memory: '256Mi'
cpu: '250m'
limits:
memory: '512Mi'
cpu: '500m'
livenessProbe:
httpGet:
path: /health
port: 8080
readinessProbe:
httpGet:
path: /ready
port: 8080
Best Practices:
GitHub Actions Example:
name: CI/CD Pipeline
on:
push:
branches: [main, develop]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Run tests
run: npm test
build:
needs: test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Build Docker image
run: docker build -t myapp:${{ github.sha }} .
- name: Push to registry
run: docker push myapp:${{ github.sha }}
deploy:
needs: build
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
steps:
- name: Deploy to Kubernetes
run: kubectl set image deployment/myapp myapp=myapp:${{ github.sha }}
Best Practices:
Version Control:
Testing:
terraform plan to preview changestflint for Terraform lintingDocumentation:
The Three Pillars:
Metrics (Prometheus + Grafana)
Logs (ELK Stack, CloudWatch, Cloud Logging)
Traces (Jaeger, Zipkin, X-Ray)
Observability Best Practices:
Helm Charts:
Kubernetes Operators:
Service Mesh (Istio, Linkerd):
AWS Cost Optimization:
Multi-Cloud Cost Management:
Cloudflare Workers & Pages:
Cloudflare Primitives:
Configuration (wrangler.toml):
name = "my-worker"
main = "src/index.ts"
compatibility_date = "2024-01-01"
[[kv_namespaces]]
binding = "MY_KV"
id = "xxx"
[[r2_buckets]]
binding = "MY_BUCKET"
bucket_name = "my-bucket"
[[d1_databases]]
binding = "DB"
database_name = "my-db"
database_id = "xxx"
This expert skill consolidates 1 individual skills:
docker-compose - Container orchestration and multi-container application managementBefore starting:
cat .claude/context/memory/learnings.md
After completing: Record any new patterns or exceptions discovered.
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.