Skill UI

A comprehensive Python SDK for interacting with Azure Container Registry (ACR). This tool allows developers to manage the full container lifecycle, including listing repositories, handling tags, manipulating manifests, downloading artifacts, and managing container images within Azure's cloud environment. Ideal for implementing robust CI/CD pipelines and container automation.

A comprehensive Python SDK for interacting with Azure Container Registry (ACR). This tool allows developers to manage the full container lifecycle, including listing repositories, handling tags, manipulating manifests, downloading artifacts, and managing container images within Azure's cloud environment. Ideal for implementing robust CI/CD pipelines and container automation.

Creates production-ready GitOps workflows for ArgoCD or Flux, producing manifests, repository layout guidance, and deployment instructions tailored to the user’s infrastructure so Kubernetes clusters stay in sync with Git.

Designs and executes chaos experiments, failure-injection frameworks, and game days for distributed systems, providing runbooks, manifests, rollback plans, and continuous resilience automation in CI/CD.

Automates Istio and Linkerd configuration for microservices, generating production-ready manifests and setup code tailored to your infrastructure, emphasizing security, observability, and traffic management best practices.

Generates production-ready Kubernetes deployment, service, ingress, and autoscaler manifests using best practices such as health checks, TLS, and resource limits. Use this when creating or updating deployments, services, ConfigMaps, Secrets, or other Kubernetes resource manifests for any application.

Provides comprehensive instructions for deploying Deepgram transcription services into various production environments. This guide covers building production-ready Docker images, configuring Docker Compose, setting up robust Kubernetes manifests (including HPA and secrets), and implementing serverless handlers for platforms like AWS Lambda. Essential for scaling Deepgram services reliably and securely in the cloud.

Blueprint for designing GitHub Actions-powered CI/CD pipelines that leverage Docker multi-stage builds, Helm chart environments, ArgoCD GitOps, Kubernetes manifests, and monitoring best practices to keep deployments reliable across teams.

This skill provides comprehensive guidance for the creation, organization, and management of Helm charts. It is essential for packaging, distributing, and deploying Kubernetes applications across various environments. Use it when implementing complex, templated, and reusable manifests for robust cloud-native deployments.

This skill provides step-by-step guidance for creating production-ready Kubernetes manifests. It covers essential resources including Deployments, Services, ConfigMaps, Secrets, and PersistentVolumeClaims. Use this skill when defining complete, robust containerized application architectures, managing network connectivity, stateful workloads, and ensuring adherence to Kubernetes best practices like resource limits and security contexts.

This specialized, end-to-end workflow guides the deployment of applications onto Kubernetes clusters. It systematically covers all critical production phases, including Docker container preparation, generating K8s manifests, structuring applications with Helm charts, configuring advanced service meshes (like Istio), enforcing robust security policies (RBAC, NetworkPolicy), and implementing full observability and GitOps pipelines for reliable, scalable deployments.

Consolidates Kubernetes deployment best practices across manifests, Helm charts, autoscaling, and troubleshooting to keep API workloads resilient, efficient, and observable. Ideal for SREs or platform teams standardizing resource limits, probes, topology spread, and diagnostics.