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cloud-devops

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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

Source

git clone https://github.com/bcastelino/agent-skills-kit/blob/main/skills/cloud-devops/SKILL.mdView on GitHub

Overview

Cloud-devops provides a comprehensive, phase-based workflow for provisioning infrastructure, container orchestration, CI/CD, monitoring, and security across AWS, Azure, GCP, and Kubernetes. It combines IaC, CI/CD tooling, and cloud-native practices to help teams deliver scalable, observable, and cost-conscious cloud applications.

How This Skill Works

The workflow is organized into six phases: Infrastructure, Container Orchestration, CI/CD, Monitoring/Observability, Cloud Security, and Cost Optimization. Each phase lists the relevant skills to invoke, plus detailed actions and copy-paste prompts to accelerate implementation. Teams progress phase-by-phase to design, provision, deploy, secure, and monitor cloud workloads.

When to Use It

  • Setting up cloud infrastructure
  • Implementing CI/CD pipelines
  • Deploying Kubernetes applications
  • Configuring monitoring and observability
  • Managing cloud costs

Quick Start

  1. Step 1: Outline the six phases and map the required skills to your project.
  2. Step 2: Provision Phase 1 infrastructure with Terraform and cloud-architect; containerize Phase 2 components.
  3. Step 3: Implement Phase 3–6: CI/CD, monitoring, security, and cost optimization using the provided prompts.

Best Practices

  • Plan with phase-based scoping: map each phase to the exact skills to invoke (e.g., cloud-architect, terraform-skill, kubernetes-architect).
  • Use Infrastructure as Code (Terraform) for repeatable provisioning and version control.
  • Integrate monitoring and observability early with Grafana/Prometheus dashboards and alerts.
  • Prioritize cloud security from the start: secrets management, IAM and network policies in Phase 5.
  • Tie cost optimization to every phase, with dedicated analyses in Phase 6 and ongoing cost monitoring.

Example Use Cases

  • Provision a multi-cloud baseline with Terraform and cloud-architect, then deploy a Kubernetes cluster across AWS/GCP.
  • Design a CI/CD pipeline using deployment-engineer and cicd-automation-workflow-automate, with GitHub Actions templates.
  • Create Grafana dashboards and Prometheus metrics for a microservices app and set up alerts with observability-engineer.
  • Apply Kubernetes security policies and secrets-management to protect sensitive configuration and data.
  • Implement cost-optimization practices across AWS, Azure, and GCP, using dedicated cost-optimization skills.

Frequently Asked Questions

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