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Found 5 Skills
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).
내부 AI 툴 필수 구현 가이드(P0/P1) 기반으로 권한, 비용, 로그, 보안 컴플라이언스를 설계-검증-개선하는 자동화 스킬. RBAC 설계, Gateway 원칙, Firestore 정책, 행동 로그, 비용 투명성, 기준검증 시스템의 전체 라이프사이클을 지원한다.
Expert-level ArgoCD GitOps deployment, application management, sync strategies, and production operations
Automation skill for designing, verifying, and improving auth, cost, logging, and security compliance based on the internal AI tool mandatory implementation guide (P0/P1). Supports the full lifecycle of RBAC design, Gateway principles, Firestore policy, behavior logs, cost transparency, and the criteria verification system.
Kubernetes cluster operations: kubectl commands, manifest generation, Helm charts, RBAC, debugging, and deployment strategies.