kelly-digital-human

Compare 2D and 3D digital human vendors and validate launch readiness.

4|3|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/mr-kelly/skills --skill kelly-digital-human
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kelly-digital-human
Source: https://github.com/mr-kelly/skills/tree/main/skills/kelly-digital-human
Command: npx skills add https://github.com/mr-kelly/skills --skill kelly-digital-human

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @hono/node-server, hono, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill solves the complexity of choosing, implementing, and validating digital human solutions by providing a unified workspace for comparing 2D and 3D architectures and managing launch readiness.

Core Features & Use Cases

  • Implementation Path Selection: Compare low-cost 2D photoreal services against high-control 3D UE/Unity builds.
  • Multimodal Studio: Simulate voice-to-lip-sync streams, latency, and avatar rendering locally.
  • Launch QA Gate: Manage safety, lip-sync quality, and latency checks before production deployment.
  • Use Case: Use this when you need to prototype an AI customer service host or a brand character, ensuring the pipeline meets latency and safety standards before committing to vendor contracts.

Quick Start

Use the kelly-digital-human skill to open the local demo app and start the digital human implementation workflow.

Frequently Asked Questions about kelly-digital-human

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

FAQPage Schema
How do I compare 2D and 3D digital human avatar solutions for an AI presenter?

You can compare 2D and 3D digital human architectures by using a unified workspace to evaluate low-cost 2D photoreal services against high-control 3D UE/Unity builds. This approach facilitates vendor comparison and multimodal pipeline design for AI-driven presenters.

What is the best way to validate lip-sync latency for an AI customer service host?

The best way to validate lip-sync latency for an AI customer service host is using a multimodal studio to simulate voice-to-lip-sync streams and avatar rendering locally. This identifies pipeline latency and rendering issues before production deployment.

Can I test digital human launch readiness locally before committing to vendor contracts?

Yes, you can test digital human launch readiness locally by running a provided server launcher to manage state and simulate stream events. This manages safety, lip-sync quality, and latency checks before you commit to vendor contracts.

Does the digital human QA desk support Web-RTC stream events for multimodal pipelines?

The digital human QA desk supports Web-RTC stream events for multimodal pipelines by requiring local execution of a server launcher. This setup manages local state and simulates the stream events needed for pipeline design and validation.

How do I start the local server for digital human prototyping and multimodal simulation?

To start the local server for digital human prototyping, execute the provided server launcher to open the local demo app. This initiates the digital human implementation workflow and manages the state needed to simulate multimodal streams.