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Found 1,167 Skills
Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.
Implements zero-downtime deployments on GKE using rolling updates, blue-green strategies, and health checks. Use when deploying new versions, rolling back failed deployments, configuring Spring Boot health probes (liveness/readiness), managing rollout status, or implementing progressive rollout patterns. Includes automated health verification and rollback procedures.
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
AWS SAM and AWS CDK deployment for serverless applications. Triggers on phrases like: use SAM, SAM template, SAM init, SAM deploy, CDK serverless, CDK Lambda construct, NodejsFunction, PythonFunction, SAM and CDK together, serverless CI/CD pipeline. For general app deployment with service selection, use deploy-on-aws plugin instead.
Produces Go/No-Go deployment checklists with SQL verification queries, rollback procedures, and monitoring plans. Use when PRs touch production data, migrations, or risky data changes.
Execute Azure deployments after preparation and validation are complete. USE FOR: azd up, azd deploy, push to Azure, publish to Azure, ship to production, launch on Azure, go live, release to Azure, deploy web app, deploy container app, deploy static site, deploy Azure Functions, azd provision, infrastructure deployment, bicep deploy, terraform apply, deploy with terraform. Supports azd with Bicep, azd with Terraform, pure Bicep, pure Terraform, and Azure CLI deployments. DO NOT USE FOR: preparing new apps (use azure-prepare), validating before deploy (use azure-validate).
**CRITICAL**: Run azure-validate before deploying Azure resources. Validates Azure deployment readiness. USE FOR: assess if application is ready to deploy to Azure, validate azure.yaml or Bicep configuration files, run Azure preflight checks, review deployment previews and what-if analysis, verify Azure infrastructure configuration, troubleshoot Azure deployment errors. DO NOT USE FOR: creating new applications (use azure-prepare), executing deployments (use azure-deploy).
Use this skill to work with Microsoft Foundry (Azure AI Foundry): deploy AI models from catalog, build RAG applications with knowledge indexes, create and evaluate AI agents, manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Microsoft Foundry, AI Foundry, deploy model, model catalog, RAG, knowledge index, create agent, evaluate agent, agent monitoring, create Foundry project, new Foundry project, set up Foundry, onboard to Foundry, provision Foundry infrastructure, create Foundry resource, create AI Services, multi-service resource, AIServices kind, register resource provider, enable Cognitive Services, setup AI Services account, create resource group for Foundry, RBAC, role assignment, managed identity, service principal, permissions, quota, capacity, TPM, deployment failure, QuotaExceeded. DO NOT USE FOR: Azure Functions (use azure-functions), App Service (use azure-create-app), generic Azure resource creation (use azure-create-app).
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.
Deploy applications and websites to Vercel instantly. Use when asked to "Deploy my app", "Deploy this to production", "Create a preview deployment", or "Push this live". No authentication required - returns preview URL and claimable deployment link.
Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes