diagram-to-npa-workflow

Transform architecture diagrams and procedural write-ups into npa.workflow/v0.0.1 YAML specifications.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill bridges the gap between conceptual pipeline diagrams and executable infrastructure-as-code, eliminating the manual effort of translating visual logic into complex YAML specifications.

Core Features & Use Cases

  • Topology Mapping: Automatically translates boxes, arrows, and decision diamonds into valid states, sequences, and control-flow logic.
  • Validation Hardening: Ensures generated workflows pass strict schema validation and planning checks before deployment.
  • Use Case: A robotics team has a whiteboard sketch of a sim-to-real training loop; this skill converts that sketch into a production-ready npa.workflow/v0.0.1 spec that handles GPU resource allocation and loop logic.

Quick Start

Use the diagram-to-npa-workflow skill to parse the attached architecture diagram and step-by-step write-up into a runnable npa workflow specification.

Frequently Asked Questions about diagram-to-npa-workflow

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

FAQPage Schema
How do I convert an architecture diagram into a declarative YAML workflow specification?

To convert an architecture diagram into a YAML workflow specification, you provide the diagram and a procedural write-up. The skill translates visual topology into declarative npa.workflow/v0.0.1 YAML specifications with valid states and control-flow logic.

What is the best way to automate multi-resource GPU orchestration for physical AI pipelines?

Automating multi-resource GPU orchestration involves translating pipeline diagrams into declarative npa.workflow/v0.0.1 YAML specifications. This approach handles complex control-flow patterns including nested loops and ensures reliable execution on Nebius infrastructure.

Can I translate whiteboard sketches with nested loops and decision gates into executable infrastructure-as-code?

Yes, you can translate sketches with nested loops and decision gates into executable infrastructure-as-code. The skill maps decision diamonds and boxes into valid sequences and bounded control-flow cycles for npa.workflow/v0.0.1 specs.

How do I validate generated workflow graphs against schema requirements before deployment?

Validating generated workflow graphs against schema requirements is handled automatically during conversion. The skill ensures the resulting npa.workflow YAML specifications pass strict schema validation and planning checks before deployment.

Does this workflow conversion approach support bounded control-flow cycles for reliable execution?

Yes, this workflow conversion supports bounded control-flow cycles for reliable execution. It validates generated graphs against schema requirements and ensures the resulting npa.workflow specifications maintain bounded cycles on Nebius infrastructure.