digital-twin-generation_skill

This skill helps generate photorealistic digital twins and avatars for video calls, customer service, and multilingual content.
  • Python

2.6k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill digital-twin-generation

  • _meta.json306 B
  • SKILL.md14.7 KB

Overview

This skill generates photorealistic digital twins and avatar clones using each::sense AI for professional and consumer applications. It produces high-quality headshots, full-body models, animated video clips, and multilingual-ready assets optimized for video calls, corporate communications, and customer service. Outputs are configurable by mode (max or eco) and support iterative refinement via session_id.

How this skill works

The skill ingests multiple reference photos and a textual brief to produce consistent, lifelike digital replicas. You select mode for quality or speed, provide image_urls and optional session_id to iterate, and specify aspect ratio, expressions, or target use. The API returns finished images or animated videos and can generate platform-specific variants from a single master twin.

When to use it

  • Create a professional spokesperson image set for investor presentations and press releases
  • Generate consistent customer service avatars for chat and video support
  • Build a video-call twin optimized for virtual meetings and streaming
  • Produce multilingual presenters for dubbed or lip-synced video content
  • Create platform-specific profile images and thumbnails from one master twin

Best practices

  • Provide 3–10 high-resolution reference photos covering front, 3/4, and profile angles
  • Use max for final production assets and eco for quick prototypes
  • Include specific directions for lighting, background, expression, and aspect ratio
  • Use a persistent session_id to refine identity and generate consistent variations
  • Anchor variations with original reference photos to preserve identity fidelity

Example use cases

  • Convert executive headshots into a corporate spokesperson twin for announcements
  • Create a friendly, on-brand avatar for 24/7 customer support interfaces
  • Produce a multilingual presenter with neutral mouth positions for dubbing
  • Generate full-body twins for virtual event speakers and digital stages
  • Export multiple format variations (1:1, circular-friendly, 16:9) from one master twin

FAQ

Provide 3–10 quality photos including front, 3/4, and profile views for best results.

What is the difference between max and eco modes?

max produces highest-quality, production-ready assets; eco is faster and suitable for prototypes.

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