Generates a world model representation from state inputs using discrete wavelet transforms (DWT) to capture multi-resolution temporal and spatial features.
Installs into .claude/skills of the current project.
Are you the author of Wavelet World Model?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/dvcrn-wavelet-world-model)
---
name: wavelet-world-model
description: "Generates a world model representation from state inputs using discrete wavelet transforms (DWT) to capture multi-resolution temporal and spatial features."
---
# Wavelet World Model Skill
This skill allows your OpenClaw agent to transform high-dimensional sequential state data into a compact world model representation using Wavelet Transforms.
It leverages multi-resolution analysis to efficiently encode BOTH high-frequency details (rapid changes) and low-frequency components (long-term dependencies), making it highly effective for robotic control, continuous state tracking, and predicting complex environments.
## Commands
- `wavelet-model`: standardized command to initialize the wavelet world model and process state inputs.
