content-workflow-cli-demo

Generate product demo videos from terminal traces and render previews.

179|21|Updated Apr 28, 2026
One-click install
npx skills add https://github.com/NVIDIA-Omniverse/usd-content-agents --skill content-workflow-cli-demo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-workflow-cli-demo
Source: https://github.com/NVIDIA-Omniverse/usd-content-agents/tree/main/.agents/skills/content-workflow-cli-demo
Command: npx skills add https://github.com/NVIDIA-Omniverse/usd-content-agents --skill content-workflow-cli-demo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, content-workflow-cli, opencv-python, numpy, pillow, and includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of creating professional, high-fidelity product demonstrations for complex agentic content workflows without the need for manual, error-prone screen recordings.

Core Features & Use Cases

  • Artifact-Backed Replays: Generates demo videos using real workflow outputs, ensuring visual consistency and accuracy.
  • Automated Storyboarding: Orchestrates the creation of terminal traces, render previews, and final artifact summaries into a cohesive narrative.
  • Use Case: Use this to generate a polished demo video for a material assignment workflow, showing the transition from a raw USD asset to a fully materialized, render-verified final product.

Quick Start

Use the content-workflow-cli-demo skill to build and render a product demo video for the ladder asset workflow.

Frequently Asked Questions about content-workflow-cli-demo

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

FAQPage Schema
How do I automate product demo video generation for USD content authoring workflows?

You can automate product demo video generation by using artifact-backed replays that compose terminal traces, render previews, and final asset summaries into a unified visual narrative. This skill orchestrates real workflow execution outputs into a cohesive video without manual screen recording.

What is artifact-backed replay for agentic content authoring workflows?

Artifact-backed replay is a process that generates demo videos using real workflow execution outputs rather than simulated recordings. It ensures visual consistency and accuracy by capturing terminal traces, render previews, and final asset summaries directly from the actual content authoring process.

Do I need a specific Python environment to generate workflow demo videos?

Yes, generating workflow demo videos requires a configured content-workflow-cli environment, a reachable Content Authoring Tool API, and Python 3.12. Additional dependencies include opencv-python, numpy, and pillow for processing visual artifacts and composing the final video output.

Can I use this approach to create demo videos for material assignment workflows in USD?

Yes, you can create demo videos for material assignment workflows by showing the transition from a raw USD asset to a fully materialized, render-verified final product. The automated storyboarding feature orchestrates these stages into a cohesive narrative for professional demonstrations.

Why use automated storyboarding instead of manual screen recording for product demo videos?

Automated storyboarding eliminates error-prone manual screen recording by generating professional, high-fidelity product demonstrations directly from real workflow artifacts. It ensures visual consistency and accuracy while orchestrating terminal traces, render previews, and asset summaries into a cohesive narrative automatically.

What are the limitations of using execution artifacts for workflow demo video composition?

The main limitation is the strict dependency on a configured content-workflow-cli environment, a reachable Content Authoring Tool API, and Python 3.12. Without these prerequisites properly set up, the skill cannot capture the real execution artifacts needed to compose the unified visual narrative for the demo video.