AI Agent Skills

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and simi…

This layout engine can solve the hardest layout problems imaginable. Its output is DTP grade and deterministic. It's faster than engines written in C++ because it's not…

Build large procedural oceans and coast transitions in Three.js. Use for WebGPU/TSL FFT oceans, multi-cascade wavelength bands, hybrid FFT plus Gerstner clear-water ocea…

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

Route ambitious Three.js graphics work to the smallest expert skill set. Use for new visual experiences, graphics rewrites, reference matching, or requests spanning geom…

[ICLR 2026] ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation

Connectionist Temporal Classification (CTC) decoder with dictionary and language model.

[CVPR 2024] FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation

Temporal pattern detection and forecasting. Use when analyzing trends over time, detecting seasonality, identifying anomalies in time series, or building simple forecast…

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

CesiumJS time, properties, and animation - Clock, JulianDate, TimeInterval, Property, SampledProperty, CallbackProperty, PathMode, interval and sampled path materials, i…

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002

[ICCV 2023] ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and simi…