Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.
为 AI 研究论文生成专业的分析演示文稿。按照标准化的学术分析框架，从 TLDR 到 Limitation 全面解读论文。适用于论文阅读汇报、组会分享、研究讨论等场景。
Domain-agnostic autonomous optimization loop. Try ideas, measure results, keep what works, discard what doesn't, repeat forever. Works for any quantifiable metric — ML training, build speed, bundle size, test performance, etc. Use when asked to "optimize X in a loop", "autoresearch for X", or "autonomous optimization".
Autonomous ML research loop inspired by Karpathy's autoresearch. Agent modifies code, trains on single GPU, evaluates metric, keeps or discards, repeats indefinitely. Use when asked to "run autoresearch", "autonomous training loop", or "overnight experiments".
CUHK PhD course learning assistant for lecture summarization, homework assistance, and exam review. Triggers on "课程", "作业", "复习", "homework", "review", "lecture", "考试", "/course". Supports bilingual output (Chinese main + English terms) for summaries, LaTeX homework with human-like writing, and comprehensive review documents.
Use this skill when processing large-scale ML datasets. Covers data loading, preprocessing, augmentation, multimodal data handling, and streaming/sharding techniques.
Use this skill when working with diffusion models for image/video generation. Covers Diffusers library pipelines, custom samplers, ControlNet, model training, and optimization techniques.
Use this skill when setting up ML experiment infrastructure. Covers wandb/tensorboard integration, hydra/omegaconf configuration management, experiment reproducibility, and results visualization.