gnipbao GitHub avatar

codex-whiteboard-video-skill

gnipbao

This repository provides a Codex Skill adapter that allows Codex to call a local whiteboard video engine to convert images, SVGs, sketches, or scripts into hand-drawn whiteboard animations.

Stars

205

7-day growth

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Forks

44

Open issues

0

License

MIT

Last updated

2026-07-01

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It seamlessly integrates whiteboard video generation into Codex, leveraging local models for privacy and offline use, while keeping the complex engine code separate for easier maintenance.

Who it is for

  • Codex users who want to generate whiteboard animations from sketches or images
  • AI video creators looking for a local, offline pipeline
  • Developers interested in integrating whiteboard video capabilities into their workflows
  • Open-source contributors who want to extend or customize the engine

Use cases

  • Transform a static illustration into a 15-second hand-drawn whiteboard video
  • Create educational explainer videos from line art or SVG diagrams
  • Automate video production for marketing or social media content using scripts
  • Experiment with different line art styles (e.g., anime, contour) for creative projects

Strengths

  • Tight integration with Codex via a simple skill mention and CLI wrapper
  • Leverages a separate, well-documented engine for rendering, model providers, and video synthesis
  • Supports multiple line art provider backends (Informative Drawings, Anime2Sketch) with local model storage
  • Clear separation of concerns – skill repo only contains instructions and wrapper, reducing update conflicts

Considerations

  • Requires manual download and setup of model repositories and weights, which can be time-consuming
  • The quality of output heavily depends on the chosen line art model and its training data
  • Installation process involves multiple steps (engine pip install, skill clone, model download) that may be non-trivial for non-technical users
  • The skill repository itself does not include any generated videos or user data – everything is handled externally

README quick start

安装

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