Cloud/DevOps Workflow Bundle
SkillCloud & infracloud-devops is a skill that gives an AI agent a structured workflow for cloud infrastructure and DevOps work. It covers AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development, guiding the agent through setup and deployment tasks across these platforms.
Use Cloud/DevOps Workflow Bundle in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Cloud/DevOps Workflow Bundle and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Cloud/DevOps Workflow Bundle skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have an AI agent that can load skills.
What your AI can do with it
- Guides cloud setup and deployment tasks across AWS, Azure, and Google Cloud
- Handles Kubernetes workflows
- Works with Terraform for infrastructure tasks
- Covers CI/CD pipeline work
- Supports monitoring and cloud-native development
Getting started
- Have an AI agent that can load skills.
- Add the cloud-devops skill to the agent's available skills.
- Ask the agent to perform a cloud or DevOps task, such as a deployment or infrastructure setup, and it will follow the skill's workflow.
What this skill tells your AI
The instructions your AI receives, as published by davila7/claude-code-templates in cli-tool/components/skills/development/cloud-devops/SKILL.md and read by ahel’s review.
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 architectureaws-skills- AWS developmentazure-functions- Azure developmentgcp-cloud-run- GCP developmentterraform-skill- Terraform IaCterraform-specialist- Advanced Terraform
Actions
- Design cloud architecture
- Set up accounts and billing
- Configure networking
- Provision resources
- 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 architecturedocker-expert- Docker containerizationhelm-chart-scaffolding- Helm chartsk8s-manifest-generator- K8s manifestsk8s-security-policies- K8s security
Actions
- Design container architecture
- Create Dockerfiles
- Build container images
- Write K8s manifests
- Deploy to cluster
- 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 engineeringcicd-automation-workflow-automate- CI/CD automationgithub-actions-templates- GitHub Actionsgitlab-ci-patterns- GitLab CIdeployment-pipeline-design- Pipeline design
Actions
- Design deployment pipeline
- Configure build automation
- Set up test automation
- Configure deployment stages
- Implement rollback strategies
- 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 engineeringgrafana-dashboards- Grafana dashboardsprometheus-configuration- Prometheus setupdatadog-automation- Datadog integrationsentry-automation- Sentry error tracking
Actions
- Design monitoring strategy
- Set up metrics collection
- Configure log aggregation
- Implement distributed tracing
- Create dashboards
- 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 pentestingaws-penetration-testing- AWS securityk8s-security-policies- K8s securitysecrets-management- Secrets managementmtls-configuration- mTLS setup
Actions
- Assess cloud security
- Configure security groups
- Set up secrets management
- Implement network policies
- Configure encryption
- 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 optimizationdatabase-cloud-optimization-cost-optimize- Database cost optimization
Actions
- Analyze cloud spending
- Identify optimization opportunities
- Right-size resources
- Implement auto-scaling
- Use reserved instances
- Set up cost alerts
Copy-Paste Prompts
Use @cost-optimization to reduce cloud costs
Phase 7: Disaster Recovery
Skills to Invoke
incident-responder- Incident responseincident-runbook-templates- Runbook creationpostmortem-writing- Postmortem documentation
Actions
- Design DR strategy
- Set up backups
- Create runbooks
- Test failover
- Document procedures
- 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 developmentsecurity-audit- Security testingdatabase- Database operationstesting-qa- Testing workflows
Signals
- GitHub stars
- 32k
- Forks
- 4k
- Last commit
- Oct 2026
Questions
- Which cloud platforms does it cover?
- AWS, Azure, and Google Cloud (GCP), along with Kubernetes and Terraform.
- Does it handle CI/CD?
- Yes, CI/CD is part of the workflow it covers, alongside monitoring and cloud-native development.
- What kind of tasks is it for?
- Cloud setup and deployment tasks, such as configuring infrastructure and deploying across the supported platforms.
Advanced
- Item type
- skill
- Key
cloud-devops- Source
- github.com/davila7/claude-code-templates
github.com/davila7/claude-code-templates
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