Skip to content

Preparing Archive

Core
6d 1h ago
Safe

cloud-devops

Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.

.agents/skills/cloud-devops TypeScript
TY
MA
2+ layers Tracked stack
Capabilities
0
Signals
0
Related
3
0
Capabilities
Actionable behaviors documented in the skill body.
0
Phases
Operational steps available for guided execution.
0
References
Support files available for deeper usage and onboarding.
0
Scripts
Runnable or reusable automation artifacts discovered locally.

Architectural Overview

Skill Reading

"This module is grounded in security patterns and exposes 1 core capabilities across 1 execution phases."

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

Primary Stack

TypeScript

Tooling Surface

Guide only

Workspace Path

.agents/skills/cloud-devops

Operational Ecosystem

The complete hardware and software toolchain required.

This skill is mostly documentation-driven and does not expose extra scripts, references, examples, or templates.

Module Topology

Skill File
Parsed metadata
Skills UI
Launch context
Chat Session
Antigravity Core

Antigravity Core

Principal Engineering Agent

A high-performance agentic architecture developed by Deepmind for autonomous coding tasks.
120 Installs
4.2 Reliability
1 Workspace Files
4.2
Workspace Reliability Avg
5
68%
4
22%
3
10%
2
0%
1
0%
No explicit validation signals were parsed for this skill yet, but the module remains available for inspection and chat launch.

Recommended for this workflow

Adjacent modules that complement this skill surface

Loading content
Cart