Everything your AI needs, in one place.

coreweave-install-auth

Configure CoreWeave Kubernetes Service (CKS) access with kubeconfig and API tokens. Use when setting up kubectl access to CoreWeave, configuring CKS clusters, or authenticating with CoreWeave cloud se

coreweave-local-dev-loop

Set up local development workflow for CoreWeave GPU deployments. Use when building containers locally, testing YAML manifests, or iterating on model serving configurations before deploying. Trigger wi

coreweave-multi-env-setup

Configure CoreWeave across development, staging, and production environments. Use when setting up multi-environment GPU infrastructure, separating namespaces, or managing per-environment GPU quotas. T

coreweave-observability

Set up GPU monitoring and observability for CoreWeave workloads. Use when implementing GPU metrics dashboards, configuring alerts, or tracking inference latency and throughput. Trigger with phrases li

coreweave-performance-tuning

Optimize CoreWeave GPU inference latency and throughput. Use when reducing inference latency, maximizing GPU utilization, or tuning batch sizes and concurrency. Trigger with phrases like "coreweave pe

coreweave-prod-checklist

Production readiness checklist for CoreWeave GPU workloads. Use when launching inference services, preparing GPU training for production, or validating deployment configurations. Trigger with phrases

coreweave-sdk-patterns

Production-ready patterns for CoreWeave GPU workload management with kubectl and Python. Use when building inference clients, managing GPU deployments programmatically, or creating reusable CoreWeave

coreweave-security-basics

Secure CoreWeave deployments with RBAC, network policies, and secrets management. Use when hardening GPU workloads, managing model access, or configuring namespace isolation. Trigger with phrases like

coreweave-upgrade-migration

Upgrade CoreWeave deployments and migrate between GPU types. Use when migrating from A100 to H100, upgrading CUDA versions, or updating inference server versions. Trigger with phrases like "upgrade co

customerio-deploy-pipeline

Deploy Customer.io integrations to production cloud platforms. Use when deploying to Cloud Run, Vercel, AWS Lambda, or Kubernetes with proper secrets management and health checks. Trigger: "deploy cus

customerio-multi-env-setup

Configure Customer.io multi-environment setup with workspace isolation. Use when setting up dev/staging/prod workspaces, environment-aware clients, or Kubernetes config overlays. Trigger: "customer.io

deepgram-deploy-integration

Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring containers, or setting up Deepgram in Docker/Kubernetes/serverless. Trigger: "deploy deepgra

documenso-deploy-integration

Deploy Documenso integrations across different platforms and environments. Use when deploying to cloud platforms, containerizing applications, or setting up infrastructure for Documenso integrations.

maintainx-deploy-integration

Deploy MaintainX integrations to production environments. Use when deploying to cloud platforms, configuring production environments, or automating deployment pipelines for MaintainX integrations. Tri

building-gitops-workflows

Execute use when constructing GitOps workflows using ArgoCD or Flux. Trigger with phrases like "create GitOps workflow", "setup ArgoCD", "configure Flux", or "automate Kubernetes deployments". Generat

castai-ci-integration

Integrate CAST AI policy validation and cost checks into CI/CD pipelines. Use when adding CAST AI savings verification to GitHub Actions, validating Terraform plans, or gating deployments on cost thre

castai-common-errors

Diagnose and fix CAST AI agent, API, and autoscaler errors. Use when the CAST AI agent is offline, nodes are not scaling, or API calls return errors. Trigger with phrases like "cast ai error", "cast a

castai-core-workflow-a

Configure CAST AI autoscaler policies and node templates for cost optimization. Use when enabling Phase 2 automation, setting spot instance policies, or configuring node downscaler and evictor setting

castai-core-workflow-b

Configure CAST AI Workload Autoscaler for pod-level right-sizing and VPA. Use when enabling workload autoscaling, configuring resource recommendations, or tuning pod CPU and memory requests with CAST

castai-cost-tuning

Maximize Kubernetes cost savings with CAST AI spot strategies and right-sizing. Use when analyzing cloud spend, optimizing spot-to-on-demand ratios, or configuring CAST AI for maximum savings. Trigger

castai-debug-bundle

Collect CAST AI diagnostic bundle for support tickets and troubleshooting. Use when preparing a support case, collecting agent logs, or building a diagnostic snapshot of cluster state. Trigger with ph

castai-deploy-integration

Deploy CAST AI across multi-cloud Kubernetes clusters with Terraform modules. Use when onboarding EKS, GKE, or AKS clusters to CAST AI using infrastructure-as-code patterns. Trigger with phrases like

castai-hello-world

Query CAST AI cluster savings report and node inventory. Use when verifying CAST AI connectivity, viewing cluster cost savings, or listing managed nodes after onboarding. Trigger with phrases like "ca

castai-install-auth

Install and configure CAST AI agent on a Kubernetes cluster with API key authentication. Use when onboarding a cluster to CAST AI, setting up Helm charts, or configuring Terraform provider authenticat