nemo-build-agent

Orchestrate LangGraph agent build, deployment, and evaluation within the NeMo Platform.

58|16|Updated May 14, 2026
One-click install
npx skills add https://github.com/NVIDIA-NeMo/nemo-platform --skill nemo-build-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nemo-build-agent
Source: https://github.com/NVIDIA-NeMo/nemo-platform/tree/main/sdk/python/nemo-platform/src/nemo_platform/skills/nemo-build-agent
Command: npx skills add https://github.com/NVIDIA-NeMo/nemo-platform --skill nemo-build-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill bridges the gap between an agent specification and a production-ready deployment, automating the complex orchestration of scaffolding, synthetic data generation, and evaluation.

Core Features & Use Cases

  • Automated Scaffolding: Automatically generates NAT workflow YAML configurations from agent specifications.
  • Synthetic Data Pipeline: Integrates with Data Designer to create high-quality evaluation, benchmark, and knowledge-base datasets.
  • Validation & Sign-off: Performs automated deployment verification, tool-wiring checks, and final success-criteria validation.

Quick Start

Use the nemo-build-agent skill to scaffold and deploy the agent defined in the current workspace spec.

Frequently Asked Questions about nemo-build-agent

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

FAQPage Schema
How do I automate LangGraph agent deployment in the NeMo Platform?

To automate LangGraph agent deployment in the NeMo Platform, an orchestration skill manages the lifecycle from initial YAML scaffolding and synthetic data generation to final policy-governed sandbox deployment.

What is the best way to scaffold NAT workflow YAML configurations from an agent specification?

Scaffolding NAT workflow YAML configurations from an agent specification is best handled by an automated build agent that generates the required configuration files directly from your valid agent specification.

How does synthetic data generation work for LangGraph agent evaluation?

Synthetic data generation for LangGraph agent evaluation works by integrating with a Data Designer to automatically create high-quality evaluation, benchmark, and knowledge-base datasets needed for validation.

Do I need active platform services to run NeMo agent deployment workflows?

Yes, you need active platform services to execute NeMo agent deployment and validation workflows, along with a valid agent specification to successfully orchestrate the build.

Can I validate tool-wiring and success criteria automatically during agent deployment?

Yes, you can validate tool-wiring and success criteria automatically during agent deployment by performing automated deployment verification and final success-criteria validation checks.