Skill

wavelet-world-model

Generates a world model representation from state inputs using discrete wavelet transforms (DWT) to capture multi-resolution temporal and spatial features.

Freerisk: low
waveletworldmodel

The full skill

— 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. author: tempguest version: 0.1.0 license: MIT — # 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.