# Ovstorage > Deploy and develop against NVIDIA Omniverse Storage APIs on any Kubernetes cluster (MicroK8s, EKS, AKS, GKE, bare metal). Two storage adapters: (1) Example Storage Adapter — Python filesystem reference implementation + Discovery for learning and custom adapter development; (2) S3/Azure Production Storage Adapter — NVIDIA pre-built S3/Azure adapter + Discovery as minimum, expandable with Event Aggregation, Event Consumer, RabbitMQ, Envoy Auth Extension, Storage Navigator, and Contour ingress. Can deploy on the developer's behalf (generating scripts + .env) or guide manual deployment. Custom adapter development covers three APIs: Storage, Notifications, and Permissions. Use when a developer asks about deploying, configuring, validating, troubleshooting, or building any component of the Omniverse Storage APIs stack. - Skill: `nvidia-omniverse/ovstorage` (Agent Skill, multi-file: 21 files) - Install (CLI): `npx skillmds@latest add nvidia-omniverse/ovstorage` - Raw SKILL.md: https://api.skillmd.com/api/skills/nvidia-omniverse/ovstorage/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Product & Planning - Author: NVIDIA-Omniverse (https://skillmd.com/u/nvidia-omniverse) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/nvidia-omniverse/ovstorage --- Read `GUIDE.md` from the skill base directory shown above for the full decision tree, starting points, and composability guide. Load additional reference files from `references/` in that same base directory only as needed for the user's specific task. ## Workspace All evaluations, iterations, and benchmarks for this skill are stored in `storage-apis-workspace/` at the **repository root** (not inside `.claude/skills/`). When running evals or creating new iterations, always use `storage-apis-workspace/` as the workspace path. $ARGUMENTS