oss-solution-registry-onboard

Standardize open-source Physical AI repository onboarding into the NPA registry.

17|8|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/nebius/nebius-physical-ai --skill oss-solution-registry-onboard
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oss-solution-registry-onboard
Source: https://github.com/nebius/nebius-physical-ai/tree/main/skills/workflows/oss-solution-registry-onboard
Command: npx skills add https://github.com/nebius/nebius-physical-ai --skill oss-solution-registry-onboard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of inconsistently onboarding open-source Physical AI repositories into a standardized registry, ensuring that only verified, testable, and high-quality solutions are admitted to the NPA catalog.

Core Features & Use Cases

  • Capability Discovery: Systematically identifies and documents native upstream capabilities using the project's own vocabulary.
  • Live Infrastructure Validation: Enforces mandatory smoke tests on Nebius infrastructure to ensure build, pull, and execution success.
  • Use Case: Use this skill when you need to promote a new robotics or simulation repository from a raw GitHub link to a fully documented, registry-ready NPA solution with verified smoke tests and workflow specs.

Quick Start

Use the oss-solution-registry-onboard skill to evaluate and onboard the public repository at the provided URL into the NPA registry.

Frequently Asked Questions about oss-solution-registry-onboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I onboard an open-source robotics repository into the NPA registry?

To onboard an open-source robotics repository into the NPA registry, you must complete capability discovery, containerized build verification, and successful execution of end-to-end smoke tests on Nebius infrastructure. This ensures only verified, testable solutions are admitted to the catalog.

What is Physical AI solution validation and when is it required?

Physical AI solution validation is the process of evaluating robotics, simulation, and policy-training repositories for Workbench integration through live infrastructure smoke testing. It is required when promoting a raw GitHub repository to a fully documented, registry-ready NPA solution.

Does onboarding a simulation repository require live infrastructure smoke testing?

Yes, onboarding a simulation repository requires mandatory live infrastructure smoke testing on Nebius infrastructure. This validation enforces build, pull, and execution success to guarantee that the open-source solution is testable and high-quality before registry admission.

How do I document upstream capabilities for a Physical AI project?

You document upstream capabilities by systematically identifying and describing them using the project's own native vocabulary. This strict adherence to documented capabilities ensures accurate workflow specs and standardized onboarding into the NPA registry.

Can I use this validation process for policy-training repositories?

Yes, you can use this validation process for policy-training repositories alongside robotics and simulation projects. The skill evaluates these repositories for Workbench integration by verifying containerized builds and executing end-to-end smoke tests on Nebius infrastructure.

Why does repository onboarding require containerized build verification?

Repository onboarding requires containerized build verification to enforce strict build and execution success before admission. This live infrastructure validation step ensures that raw GitHub repositories meet the standardized quality and testability criteria of the NPA catalog.