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PyTorch
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 145 | Multi-GPU and distributed training patterns with PyTorch DDP. | aiming-lab/ | 15k | — | ~216 | Automated safety check: Pass | MIT | 1 mo ago |
| 146 | 146.Pytorch Training Best practices for building robust PyTorch training loops. An agent skill from aiming-lab/AutoResearchClaw. | aiming-lab/ | 15k | — | ~391 | Automated safety check: Pass | MIT | 1 mo ago |
| 147 | Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 6 days ago |
| 148 | A skill your agent uses when creating, migrating, or debugging pixi environments, especially for scientific Python, bioinformatics, single-cell analysis, CUDA/PyTorch, Jupyter/VS Code kernels… | xuzhougeng/ | 1k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 149 | 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 |
| 150 | Root-cause a vLLM torch-nightly CI regression report. An agent skill from pytorch/test-infra. | pytorch/ | 113 | — | ~2.4k | Automated safety check: Pass | Unknown | yesterday |
| 151 | Sub-skill técnica de Yann LeCun. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 2 repos | ~365 | Automated safety check: Pass | MIT | 2 days ago |
| 152 | Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices. | NVIDIA/ | 3.6k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 153 | A skill your agent uses when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches. | NVIDIA/ | 3.6k | 1 repo | ~4.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 154 | 154.Model Scaffold A skill your agent uses when you need a runnable PyTorch training repo for a medical-imaging task (segmentation, classification, detection, synthesis, self-supervised, or fine-tuning a pretrained… | Aperivue/ | 333 | — | ~3.1k | Automated safety check: Pass | MIT | 6 days ago |
| 155 | 155.Offline Voice How the on-device narration engine (VieNeu-TTS) and voice cloning work in this system - install tiers, the worker protocol, and the verified traps around torchaudio, voice metadata parsing and… | notivn/ | 127 | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 156 | 156.Runtime Skills Universal Runtime best practices for PyTorch inference, Transformers models, and FastAPI serving. | llama-farm/ | 836 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 4 mo ago |
| 157 | Review vLLM-routed torch-nightly root causes against existing upstream vLLM issues using read-only search results, and emit a validated upstream-checks artifact for the filer. | pytorch/ | 113 | — | ~1.3k | Automated safety check: Pass | Unknown | yesterday |
| 158 | Build and debug masked one-dimensional elementwise kernels for Triton-Ascend, including launch wrappers and PyTorch/NPU correctness checks. | Krusty84/ | 106 | — | ~584 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 159 | 159.Accelerate Run PyTorch training across GPUs with minimal changes. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 3 days ago |
| 160 | 160.Flash Attention Speed up long-sequence transformer training and inference. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~2.7k | Automated safety check: Pass | MIT | 3 days ago |
| 161 | 161.Pytorch Fsdp Fully sharded data-parallel training for large models. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~619 | Automated safety check: Pass | MIT | 3 days ago |
| 162 | 162.Torchtitan Pretrain LLMs at scale with PyTorch 4D parallelism. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~2.6k | Automated safety check: Pass | MIT | 3 days ago |
| 163 | Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation, and job export; use when the user names… | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 164 | 164.CI Metrics Fallback loader for the canonical PyTorch ci-metrics skill. An agent skill from pytorch/test-infra. | pytorch/ | 113 | — | ~452 | Automated safety check: Pass | Unknown | yesterday |
| 165 | Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills. | databricks/ | 345 | — | ~4.6k | Automated safety check: Pass | Unknown | yesterday |
| 166 | Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse… | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 167 | Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and… | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 168 | CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 169 | Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 170 | InternVideo2-CLIP L14 (TAO videoclip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 171 | PyTorch-based TAO image classification. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 172 | Apply existing ShapeShifter graph passes to an .onnx model via the quark-cli shapeshifter CLI or a ShapeShifter YAML. | amd/ | 182 | — | ~1.9k | Automated safety check: Pass | MIT | 13 days ago |
| 173 | Diagnose failed Quark installation, PTQ execution, script generation, or export attempts. | amd/ | 182 | — | ~1.9k | Automated safety check: Notes | MIT | 13 days ago |
| 174 | Install or verify the correct PyTorch build for a user's accelerator backend before Quark installation. | amd/ | 182 | — | ~1.6k | Automated safety check: Pass | MIT | 13 days ago |
| 175 | L3 recipe that runs a Torch LLM PTQ end-to-end for AMD Quark — for PyTorch / HuggingFace transformers models (safetensors input): quantize → validate → evaluate. | amd/ | 182 | — | ~2.6k | Automated safety check: Pass | MIT | 13 days ago |
| 176 | Route Quark user goals to the correct atomic skill or workflow. | amd/ | 182 | — | ~1.9k | Automated safety check: Pass | MIT | 13 days ago |
| 177 | Route Quark user goals to the correct atomic skill or workflow. | amd/ | 182 | — | ~1.8k | Automated safety check: Pass | MIT | 13 days ago |
| 178 | 178.Setup Assistant Guides through installation, configuration, and first-time setup of the Claude Patent Creator system. | RobThePCGuy/ | 196 | — | ~1.4k | Automated safety check: Notes | MIT | 5 days ago |
| 179 | Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder. | matlab/ | 1.1k | — | ~2.8k | Automated safety check: Pass | Unknown | 2 days ago |
| 180 | Creates MATLAB interfaces to Python image processing and computer vision models from GitHub repositories or pip-installable packages using MPyReq. | matlab/ | 1.1k | — | ~3.7k | Automated safety check: Pass | Unknown | 2 days ago |
| 181 | Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). | matlab/ | 1.1k | — | ~4.6k | Automated safety check: Pass | Unknown | 2 days ago |
| 182 | Validate Triton-Ascend kernel outputs against PyTorch references with dtype-aware tolerances, exact integer checks, bfloat16 promotion, and boolean handling. | Krusty84/ | 106 | — | ~649 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 183 | This skill provides guidance for implementing PyTorch pipeline parallelism for distributed training of large language models. | lazyFrogLOL/ | 128 | — | ~2.1k | Automated safety check: Pass | No licence | 4 mo ago |
| 184 | This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. | lazyFrogLOL/ | 128 | — | ~2.8k | Automated safety check: Pass | No licence | 4 mo ago |
| 185 | Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use only when the request names… | NVIDIA/ | 3.6k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 186 | Convert existing plain or manual PyTorch training code into an NVFLARE federated job using Client API model exchange, local validation, and job export; use when the user names plain PyTorch or… | NVIDIA/ | 3.6k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 187 | Extract Intel GPU ISA (assembly) from any XPU kernel. An agent skill from intel/torch-xpu-ops. | intel/ | 115 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 188 | A skill your agent uses when asked to implement a fix for a root-caused failure, apply a proposed patch, or produce a staged code change from triage output. | intel/ | 115 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 189 | A skill your agent uses when asked to verify a fix works, confirm a staged patch resolves a failure, or produce a before/after summary of a fix. | intel/ | 115 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 190 | A skill your agent uses when asked to fix a GitHub issue end-to-end, run the agent pipeline on an issue, or process an agent:active / batch tracking issue. | intel/ | 115 | — | ~9.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 191 | A skill your agent uses when setting up a new torch-xpu-ops release branch corresponding to a PyTorch release. | intel/ | 115 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 192 | Build PyTorch from source with Intel XPU (GPU) support. An agent skill from intel/torch-xpu-ops. | intel/ | 115 | — | ~939 | Automated safety check: Pass | Apache-2.0 | yesterday |