author-npa-workflow

To validate an NPA workflow YAML file, use this skill to check your declarative state machine specifications against the npa.workflow/v0.0.1 schema. It identifies syntax errors, invalid tool references, and circular dependencies to ensure your workflow is correctly structured.

Yes, you can convert legacy SkyPilot bash pipelines into declarative NPA workflows. This skill assists in transforming existing scripts into robust npa.workflow/v0.0.1 specifications suitable for orchestrating tasks on Nebius infrastructure.

A declarative state machine for physical-AI pipeline orchestration is a structured YAML specification that coordinates data curation, simulation, and model training tasks. It uses the npa.workflow/v0.0.1 schema to define execution logic on Nebius GPU infrastructure.

Yes, NPA workflow validation checks for tool catalog compliance and token resolution rules. It ensures your declarative state machine specifications adhere to execution depth constraints and tool catalog requirements before deployment on Nebius infrastructure.

Your NPA workflow specification fails execution depth constraint checks if the declarative state machine violates the structural rules defined in the npa.workflow/v0.0.1 schema. This skill validates your YAML to pinpoint non-compliance with tool catalog and token resolution requirements.

The best way to author a multi-stage physical-AI pipeline for Nebius GPU clusters is to define a declarative state machine using the npa.workflow/v0.0.1 schema. This skill validates your YAML specification for data curation and model training orchestration.