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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 241 | Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. | NVIDIA/ | 3.6k | — | ~973 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 242 | Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM… | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 243 | MoE expert-parallel communication overlap in Megatron Bridge. | NVIDIA/ | 3.6k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 244 | Representative, point-in-time MoE training playbooks by hardware and model family. | NVIDIA/ | 3.6k | — | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 245 | Long-context MoE training guidance for Megatron Bridge. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 246 | Evidence-gated workflow for MoE performance optimization in Megatron Bridge. | NVIDIA/ | 3.6k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 247 | Practical guidance for training MoE VLMs in Megatron Bridge. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 248 | Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. | NVIDIA/ | 3.6k | — | ~924 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 249 | 249.Flash Attention Optimize transformer attention with Flash Attention — 2-4x speedup, 10-20x memory reduction for long sequences on CUDA GPUs. | AlexAI-MCP/ | 135 | — | ~1.2k | Automated safety check: Pass | MIT | 6 mo ago |
| 250 | Diagnose and fix CoreWeave GPU scheduling, pod, and networking errors. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 251 | Upgrade CoreWeave deployments and migrate between GPU types. | jeremylongshore/ | 2.8k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 252 | 252.GPU Optimizer 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 |
| 253 | 253.Discoart Use this repo skill for DiscoArt image generation, configuration/prompt scheduling, CLI, Jina serving, Docker runtime planning, and troubleshooting. | VectorSpaceLab/ | 331 | — | ~1.3k | Automated safety check: Pass | Unknown | 1 mo ago |
| 254 | 254.Hunyuan Video Use this operating skill for Tencent-Hunyuan/HunyuanVideo text-to-video setup, checkpoint layout, inference commands, Gradio launch, and CUDA/FP8/xDiT troubleshooting. | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | Unknown | 1 mo ago |
| 255 | 255.Make It 3D Use this repo skill for Make-It-3D single-image 3D creation, including CUDA asset setup, alpha-image validation, coarse NeRF optimization, refinement, rendering, export, and troubleshooting. | VectorSpaceLab/ | 331 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 256 | 256.Mining Backends Use this quip-miner sub-skill for CPU, CUDA, Metal, Modal, and QPU mining commands, backend dependencies, QPU budgets, unified streaming, and PoW/mempool scheduling. | VectorSpaceLab/ | 331 | — | ~753 | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
| 257 | 257.Nuplan Devkit A skill your agent uses for Motional nuPlan autonomous-driving planning workflows: dataset and map access, scenario filtering, planner implementation, open- or closed-loop simulation, metrics… | VectorSpaceLab/ | 331 | — | ~1.2k | Automated safety check: Pass | Unknown | 1 mo ago |
| 258 | A skill your agent uses for Anomalib benchmark pipelines, tiled ensemble workflows, and advanced pipeline orchestration helpers while keeping experimental execution paths explicit. | VectorSpaceLab/ | 331 | — | ~952 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 259 | 259.Quip Miner Use this repo skill for QuIP quip-miner, the Substrate-integrated quantum mining CLI, when configuring or operating CPU/CUDA/Metal/Modal/QPU miners, managing hybrid wallets/bootstrap/identity… | VectorSpaceLab/ | 331 | — | ~1.4k | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
| 260 | Use this sub-skill for Torch-TensorRT runtime performance controls, CUDA Graphs, output allocation, caches, TensorRT-RTX runtime settings, mutable modules, refit, weight streaming, and benchmark… | VectorSpaceLab/ | 331 | — | ~1k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 261 | 261.Swin Transformer Use this repo skill for Microsoft Swin-Transformer image-classification model, config, data, checkpoint, SimMIM, Swin-MoE, and optional CUDA acceleration workflows. | VectorSpaceLab/ | 331 | — | ~1.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 262 | 262.Torch Tensorrt A skill your agent uses for Torch-TensorRT tasks: compiling PyTorch models with TensorRT, dynamic-shape/export workflows, runtime optimization, Triton/C++/distributed deployment, debugging… | VectorSpaceLab/ | 331 | — | ~1.5k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 263 | Generate novel crystal structures and molecules using ADiT (All-atom Diffusion Transformer), a unified latent diffusion model. | learningmatter-mit/ | 176 | — | ~1.4k | Automated safety check: Pass | MIT | 3 days ago |
| 264 | AI for Science 场景下的昇腾 NPU Profiling 采集与性能分析 Skill,用于在华为 Ascend NPU 上使用 torchnpu.profiler 采集 L0、L1、L2 级性能数据,分析训练或推理中的算子耗时、调用栈、内存与瓶颈,并指导后续调优。 | ascend-ai-coding/ | 174 | — | ~3k | Automated safety check: Pass | No licence | yesterday |
| 265 | Ankh 蛋白质语言模型昇腾 NPU 迁移 Skill,适用于 Ankh base/large、Ankh3 large/XL 以及同类基于 HuggingFace Transformers 与 PyTorch 的蛋白模型从 CUDA/GPU 到华为 Ascend NPU 的环境检查、代码适配、权重加载、验证脚本补齐与文档沉淀。 | ascend-ai-coding/ | 174 | — | ~2.1k | Automated safety check: Pass | No licence | yesterday |
| 266 | Boltz2 蛋白质结构预测模型的昇腾 NPU 迁移与复现 Skill,适用于在华为 Ascend 910、910B、910C 上准备权重、适配 Lightning 和 CUDA only kernel、完成 Boltz2 端到端结构预测推理,并沉淀可复现的环境与验证命令。 | ascend-ai-coding/ | 174 | — | ~2.8k | Automated safety check: Pass | No licence | yesterday |
| 267 | BoltzGen 昇腾 NPU 迁移与复现 Skill,适用于在华为 Ascend NPU 上部署 BoltzGen 生成式蛋白设计与逆折叠流程,覆盖环境准备、权重缓存、cuEquivariance 兼容、源码适配和端到端推理验证。 | ascend-ai-coding/ | 174 | — | ~3.8k | Automated safety check: Pass | No licence | yesterday |
| 268 | 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 |
| 269 | GENERator DNA 序列生成模型的昇腾 NPU 迁移 Skill,适用于将基于 HuggingFace Transformers 的 Causal LM 从 CUDA 迁移到华为 Ascend NPU,覆盖环境搭建、依赖安装、代码适配、多进程处理和 sequence recovery 验证。 | ascend-ai-coding/ | 174 | — | ~827 | Automated safety check: Pass | No licence | yesterday |
| 270 | OligoFormer 昇腾 NPU 迁移 Skill,适用于将基于 PyTorch Transformer 的 siRNA 效能预测模型迁移到华为 Ascend NPU,覆盖环境搭建、RNA-FM 依赖安装、代码适配、推理验证与可选训练流程。 | ascend-ai-coding/ | 174 | — | ~1.3k | Automated safety check: Pass | No licence | yesterday |
| 271 | One-time session setup and orchestration map for the TAO skill bank. | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Warn | Apache-2.0 | yesterday |
| 272 | 272.Deep Learning A skill your agent uses when training or debugging a neural net in PyTorch — the forward/loss/backward/step loop and its silent bugs, mixed precision (AMP), AdamW/LR schedules, DDP/FSDP/ZeRO… | ericrisco/ | 180 | — | ~3.4k | Automated safety check: Pass | MIT | yesterday |
| 273 | 273.Comfy CLI Install, manage, and run ComfyUI instances. An agent skill from sundial-org/awesome-openclaw-skills. | sundial-org/ | 663 | — | ~1.5k | Automated safety check: Pass | No licence | 7 mo ago |
| 274 | 274.Cuda CUDA C/C++ skill for NVIDIA GPU kernel programming. An agent skill from mohitmishra786/low-level-dev-skills. | mohitmishra786/ | 252 | — | ~1.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 275 | 275.Cuda Debugging CUDA debugging skill for GPU program correctness. An agent skill from mohitmishra786/low-level-dev-skills. | mohitmishra786/ | 252 | — | ~1.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 276 | 276.Cuda Profiling CUDA profiling skill for NVIDIA GPU performance analysis. An agent skill from mohitmishra786/low-level-dev-skills. | mohitmishra786/ | 252 | — | ~1.6k | Automated safety check: Notes | MIT | 3 mo ago |
| 277 | 277.Hip Rocm HIP and ROCm skill for AMD GPU programming. An agent skill from mohitmishra786/low-level-dev-skills. | mohitmishra786/ | 252 | — | ~1.6k | Automated safety check: Notes | MIT | 3 mo ago |
| 278 | 278.Triton Lang Triton language skill for Python GPU kernel authoring. An agent skill from mohitmishra786/low-level-dev-skills. | mohitmishra786/ | 252 | — | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 279 | 279.Llama Cpp Operate, configure, benchmark, and troubleshoot llama.cpp across CPU, Metal, CUDA, HIP/ROCm, Vulkan, SYCL, and hybrid or multi-GPU systems. | magnus919/ | 115 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 280 | 280.Nx Matting 使用本地 BiRefNet GGUF 模型完成图片或视频抠图、人物抠图、主体分割和背景移除,并输出透明 PNG、MOV 或 WebM。适用于用户提到图片抠图、照片去背景、人像透明图、视频抠图、透明视频、BiRefNet、JPG/PNG/BMP/WebP 图片,或 MP4/MOV/WebM 视频的场景;无需 Python、PyTorch 或 CUDA。 | aiskillstore/ | 433 | — | ~748 | Automated safety check: Pass | MIT | yesterday |
| 281 | 281.Uma Run structure relaxation and phonon calculations using Meta's UMA (Universal Materials Accelerator) via fairchem | lamm-mit/ | 246 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 282 | The Docker execution platform for TAO jobs — a local daemon or a remote GPU box via DOCKERHOST=ssh://user@host. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Warn | Apache-2.0 | yesterday |