Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
Scanned 9/3/2026
Install to Claude Code
npx -y skills add Ghosteken/agent-harness --skill cloud-devops --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Cloud Devops?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/ghosteken-cloud-devops)More formats (shields.io, HTML) on the badges page.
---
name: cloud-devops
description: Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
---
# 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
- `azure-functions` - Azure development
- `gcp-cloud-run` - GCP development
- `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
```
```
```
### Phase 2: Container Orchestration
#### Skills to Invoke
- `kubernetes-architect` - Kubernetes architecture
- `docker-expert` - Docker containerization
- `helm-chart-scaffolding` - Helm charts
#### 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
- `github-actions-templates` - GitHub Actions
#### 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 @github-actions-templates to create GitHub Actions workflow
```
### Phase 4: Monitoring and Observability
#### Skills to Invoke
- `observability-engineer` - Observability engineering
- `grafana-dashboards` - Grafana dashboards
#### 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
- `secrets-management` - Secrets management
#### 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 @secrets-management to configure secrets
```
### Phase 6: Cost Optimization
#### Skills to Invoke
#### 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
```
```
### Phase 7: Disaster Recovery
#### Skills to Invoke
- `incident-responder` - Incident response
#### Actions
1. Design DR strategy
2. Set up backups
3. Create runbooks
4. Test failover
5. Document procedures
6. Train team
#### Copy-Paste Prompts
```
```
## Cloud Provider Workflows
### 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
- `testing-qa` - Testing workflows
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!