Cloud Devops

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

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Cloud Devops"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags cloud-devops workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.