mckinsey/agents-at-scale-ark

Design architecture for Ark features following existing patterns and principles. Use when planning new features, extending components, or evaluating technical approaches.

Run and write Ark Chainsaw tests with mock-llm. Use for running tests, debugging failures, or creating new e2e tests.

Guidance for developing the Ark Kubernetes operator. Use when modifying Go types, CRDs, controllers, or webhooks. Helps with CRD generation and Helm chart sync issues.

Guidance for structuring Ark documentation using the Diataxis framework. Use this skill when creating new docs, deciding where content belongs, reviewing documentation PRs, or restructuring existing documentation.

Search, create, and manage GitHub issues for the Ark project. Use when you need to find existing issues, create new ones, or update issue status.

Resolve common penetration testing issues in Ark. Use when fixing security vulnerabilities from pentest reports, security audits, or OWASP Top 10 issues.

Research technical solutions by searching the web, examining GitHub repos, and gathering evidence. Use when exploring implementation options or evaluating technologies.

Regenerate and debug types across the ARK stack (SDK, API, Dashboard). Use when fixing TypeScript type errors in ark-dashboard, updating types after CRD changes, regenerating types.ts from OpenAPI spec, debugging "Property does not exist on type" schema errors, or adding custom SDK functionality via overlays. Covers the full type pipeline from Kubernetes CRDs to TypeScript.

CVE research and security patch workflow for Ark. Provides CVE API integration, mitigation strategies, and security-focused PR templates. Works with research, analysis, and setup skills for comprehensive vulnerability fixing.