Guides cloud/DevOps workflows through phases for infrastructure provisioning with AWS/Azure/GCP/Terraform, Kubernetes orchestration, CI/CD pipelines, and monitoring setup.
From antigravity-awesome-skillsnpx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-awesome-skillsThis skill uses the workspace's default tool permissions.
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Comprehensive cloud and DevOps workflow for infrastructure provisioning, container orchestration, CI/CD pipelines, monitoring, and cloud-native application development.
Use this workflow when:
cloud-architect - Cloud architectureaws-skills - AWS developmentazure-functions - Azure developmentgcp-cloud-run - GCP developmentterraform-skill - Terraform IaCterraform-specialist - Advanced TerraformUse @cloud-architect to design multi-cloud architecture
Use @terraform-skill to provision AWS infrastructure
kubernetes-architect - Kubernetes architecturedocker-expert - Docker containerizationhelm-chart-scaffolding - Helm chartsk8s-manifest-generator - K8s manifestsk8s-security-policies - K8s securityUse @kubernetes-architect to design K8s architecture
Use @docker-expert to containerize application
Use @helm-chart-scaffolding to create Helm chart
deployment-engineer - Deployment engineeringcicd-automation-workflow-automate - CI/CD automationgithub-actions-templates - GitHub Actionsgitlab-ci-patterns - GitLab CIdeployment-pipeline-design - Pipeline designUse @cicd-automation-workflow-automate to set up CI/CD pipeline
Use @github-actions-templates to create GitHub Actions workflow
observability-engineer - Observability engineeringgrafana-dashboards - Grafana dashboardsprometheus-configuration - Prometheus setupdatadog-automation - Datadog integrationsentry-automation - Sentry error trackingUse @observability-engineer to set up observability stack
Use @grafana-dashboards to create monitoring dashboards
cloud-penetration-testing - Cloud pentestingaws-penetration-testing - AWS securityk8s-security-policies - K8s securitysecrets-management - Secrets managementmtls-configuration - mTLS setupUse @cloud-penetration-testing to assess cloud security
Use @secrets-management to configure secrets
cost-optimization - Cloud cost optimizationdatabase-cloud-optimization-cost-optimize - Database cost optimizationUse @cost-optimization to reduce cloud costs
incident-responder - Incident responseincident-runbook-templates - Runbook creationpostmortem-writing - Postmortem documentationUse @incident-runbook-templates to create runbooks
Skills: aws-skills, aws-serverless, aws-penetration-testing
Services: EC2, Lambda, S3, RDS, ECS, EKS
Skills: azure-functions, azure-ai-projects-py, azure-monitor-opentelemetry-py
Services: Functions, App Service, AKS, Cosmos DB
Skills: gcp-cloud-run
Services: Cloud Run, GKE, Cloud Functions, BigQuery
development - Application developmentsecurity-audit - Security testingdatabase - Database operationstesting-qa - Testing workflows