ark-research

Enables deploying and managing AI agent workloads across Kubernetes clusters, providing infrastructure for scaling and orchestrating intelligent agent systems.

Tracks, manages, and helps resolve Kubernetes-related issues and configurations within the Ark agentic runtime platform.

Regenerates and debugs TypeScript types across the ARK stack, handling type errors from Kubernetes CRDs to dashboard by automating type generation and custom SDK functionality.

ark-documentation skill from mckinsey/agents-at-scale-ark

Automatically identifies and proposes code-level fixes for security vulnerabilities in Kubernetes deployments using AI-powered analysis.

Configures and initializes a Kubernetes cluster with the Ark agentic runtime, installing necessary dependencies, controllers, APIs, and optional default model settings.

Defines and manages the architectural configuration and deployment specifications for agentic workloads in Kubernetes clusters using the Ark framework.

Guides Kubernetes operator development for Ark, managing CRD generation, type modifications, and synchronization between Go types and Helm charts.

Tests and validates the functionality, usability, and performance of the Ark dashboard and user interface components within the Kubernetes-based agentic workload platform.

Tests and validates the functionality and performance of chainsaw-related workflows within the Ark Kubernetes agent platform.