cloud-devops
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
Best use case
cloud-devops is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
Teams using cloud-devops 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/cloud-devops/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cloud-devops Compares
| Feature / Agent | cloud-devops | 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?
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
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
# Cloud/DevOps Workflow Bundle ## Overview Comprehensive cloud and DevOps workflow for infrastructure provisioning, container orchestration, CI/CD pipelines, monitoring, and cloud-native application development. ## When to Use This Workflow Use this workflow when: - Setting up cloud infrastructure - Implementing CI/CD pipelines - Deploying Kubernetes applications - Configuring monitoring and observability - Managing cloud costs - Implementing DevOps practices ## Workflow Phases ### Phase 1: Cloud Infrastructure Setup #### Skills to Invoke - `cloud-architect` - Cloud architecture - `aws-skills` - AWS development - `azure-functions` - Azure development - `gcp-cloud-run` - GCP development - `terraform-skill` - Terraform IaC - `terraform-specialist` - Advanced Terraform #### Actions 1. Design cloud architecture 2. Set up accounts and billing 3. Configure networking 4. Provision resources 5. Set up IAM #### Copy-Paste Prompts ``` Use @cloud-architect to design multi-cloud architecture ``` ``` Use @terraform-skill to provision AWS infrastructure ``` ### Phase 2: Container Orchestration #### Skills to Invoke - `kubernetes-architect` - Kubernetes architecture - `docker-expert` - Docker containerization - `helm-chart-scaffolding` - Helm charts - `k8s-manifest-generator` - K8s manifests - `k8s-security-policies` - K8s security #### Actions 1. Design container architecture 2. Create Dockerfiles 3. Build container images 4. Write K8s manifests 5. Deploy to cluster 6. Configure networking #### Copy-Paste Prompts ``` Use @kubernetes-architect to design K8s architecture ``` ``` Use @docker-expert to containerize application ``` ``` Use @helm-chart-scaffolding to create Helm chart ``` ### Phase 3: CI/CD Implementation #### Skills to Invoke - `deployment-engineer` - Deployment engineering - `cicd-automation-workflow-automate` - CI/CD automation - `github-actions-templates` - GitHub Actions - `gitlab-ci-patterns` - GitLab CI - `deployment-pipeline-design` - Pipeline design #### Actions 1. Design deployment pipeline 2. Configure build automation 3. Set up test automation 4. Configure deployment stages 5. Implement rollback strategies 6. Set up notifications #### Copy-Paste Prompts ``` Use @cicd-automation-workflow-automate to set up CI/CD pipeline ``` ``` Use @github-actions-templates to create GitHub Actions workflow ``` ### Phase 4: Monitoring and Observability #### Skills to Invoke - `observability-engineer` - Observability engineering - `grafana-dashboards` - Grafana dashboards - `prometheus-configuration` - Prometheus setup - `datadog-automation` - Datadog integration - `sentry-automation` - Sentry error tracking #### Actions 1. Design monitoring strategy 2. Set up metrics collection 3. Configure log aggregation 4. Implement distributed tracing 5. Create dashboards 6. Set up alerts #### Copy-Paste Prompts ``` Use @observability-engineer to set up observability stack ``` ``` Use @grafana-dashboards to create monitoring dashboards ``` ### Phase 5: Cloud Security #### Skills to Invoke - `cloud-penetration-testing` - Cloud pentesting - `aws-penetration-testing` - AWS security - `k8s-security-policies` - K8s security - `secrets-management` - Secrets management - `mtls-configuration` - mTLS setup #### Actions 1. Assess cloud security 2. Configure security groups 3. Set up secrets management 4. Implement network policies 5. Configure encryption 6. Set up audit logging #### Copy-Paste Prompts ``` Use @cloud-penetration-testing to assess cloud security ``` ``` Use @secrets-management to configure secrets ``` ### Phase 6: Cost Optimization #### Skills to Invoke - `cost-optimization` - Cloud cost optimization - `database-cloud-optimization-cost-optimize` - Database cost optimization #### Actions 1. Analyze cloud spending 2. Identify optimization opportunities 3. Right-size resources 4. Implement auto-scaling 5. Use reserved instances 6. Set up cost alerts #### Copy-Paste Prompts ``` Use @cost-optimization to reduce cloud costs ``` ### Phase 7: Disaster Recovery #### Skills to Invoke - `incident-responder` - Incident response - `incident-runbook-templates` - Runbook creation - `postmortem-writing` - Postmortem documentation #### Actions 1. Design DR strategy 2. Set up backups 3. Create runbooks 4. Test failover 5. Document procedures 6. Train team #### Copy-Paste Prompts ``` Use @incident-runbook-templates to create runbooks ``` ## Cloud Provider Workflows ### AWS ``` Skills: aws-skills, aws-serverless, aws-penetration-testing Services: EC2, Lambda, S3, RDS, ECS, EKS ``` ### Azure ``` Skills: azure-functions, azure-ai-projects-py, azure-monitor-opentelemetry-py Services: Functions, App Service, AKS, Cosmos DB ``` ### GCP ``` Skills: gcp-cloud-run Services: Cloud Run, GKE, Cloud Functions, BigQuery ``` ## Quality Gates - [ ] Infrastructure provisioned - [ ] CI/CD pipeline working - [ ] Monitoring configured - [ ] Security measures in place - [ ] Cost optimization applied - [ ] DR procedures documented ## Related Workflow Bundles - `development` - Application development - `security-audit` - Security testing - `database` - Database operations - `testing-qa` - Testing workflows
Related Skills
gcp-cloud
Google Cloud Platform infrastructure patterns and best practices. Use when designing or implementing GCP solutions including Compute Engine, Cloud Functions, Cloud Storage, and BigQuery.
gcp-cloud-run
Specialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold start optimization, and event-dri...
exploiting-cloud-platforms
Exploit AWS, Azure, and GCP cloud misconfigurations including S3 buckets, IAM roles, metadata services, serverless functions, and cloud-specific privilege escalation. Use when pentesting cloud environments or assessing cloud security.
devops
[DevOps] Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.
devops-troubleshooter
Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability.
devops-specialist
DevOps 与运维专家。精通 CI/CD、容器化、编排、基础设施即代码、监控告警和自动化部署。用于构建高效、可靠的软件交付流水线和运维系统。
DevOps Practices
Expertise in deployment automation, container orchestration, and infrastructure as code. Activates when working with "deploy", "kubernetes", "docker", "terraform", "helm", "k8s", "container", or cloud infrastructure.
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。
devops-infra-github
Expert guidance for containerization, orchestration, and CI/CD pipelines for Bun monorepo projects.
devops-guide
Comprehensive DevOps and infrastructure guide covering Docker, Kubernetes, AWS, Terraform, CI/CD pipelines, Linux, and cloud deployment strategies. Use when setting up infrastructure, automation, or deployment systems.
devops-engineer
Expert DevOps engineer bridging development and operations with comprehensive automation, monitoring, and infrastructure management. Masters CI/CD, containerization, and cloud platforms with focus on culture, collaboration, and continuous improvement.
DevOps & Deployment
Use when setting up CI/CD pipelines, containerizing applications, deploying to Kubernetes, or writing infrastructure as code. DevOps & Deployment covers GitHub Actions, Docker, Helm, and Terraform patterns.