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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when building ML/AI apps in Rust. An agent skill from moeru-ai/auv. | moeru-ai/ | 100 | 1 repo | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Guide for writing and modifying NKI kernels. An agent skill from uw-syfi/vibesys. | uw-syfi/ | 108 | — | ~5k | Automated safety check: Pass | MIT | today |
| 3 | Optimize or review eager CPU-only Albucore PyTorch runtime paths with benchmark-backed decisions. | albumentations-team/ | 123 | — | ~895 | Automated safety check: Pass | MIT | 6 days ago |
| 4 | Review an AlbumentationsX transform for correctness, public API coherence, performance, documentation, and test coverage. | albumentations-team/ | 567 | — | ~973 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 5 | Write, review, and run high-level xTBloom Python GFN2-xTB inference with Calculator, Structure, and BatchCalculator, including single systems, repeated geometry updates, heterogeneous ragged… | jinzhezenggroup/ | 148 | — | ~1.3k | Automated safety check: Pass | LGPL-3.0 | 2 days ago |
| 6 | Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines. | jaechang-hits/ | 374 | 1 repo | ~4k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |
| 7 | GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile. | Mathews-Tom/ | 329 | — | ~3.5k | Automated safety check: Notes | MIT | 5 days ago |
| 8 | DiffSBDD 昇腾 NPU 迁移 Skill，适用于将基于等变扩散模型的结构化药物设计项目从 CUDA 迁移到华为 Ascend NPU，覆盖环境搭建、依赖安装、torchscatter 源码编译、代码适配以及 de novo 推理验证。 | ascend-ai-coding/ | 174 | — | ~898 | Automated safety check: Pass | No licence | yesterday |
