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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). | matlab/ | 184 | — | ~3.4k | Automated safety check: Pass | Unknown | yesterday |
| 50 | Load this FIRST whenever working with PyTorch CI data (any pytorch/ org repo), the torchci/HUD codebase, or the PyTorch HUD ClickHouse database. | pytorch/ | 113 | — | ~2.8k | Automated safety check: Pass | Unknown | today |
| 51 | Publish a Python package to PyPI using uv with credentials loaded from a local .secrets file. | ML4ITS/ | 166 | — | ~178 | Automated safety check: Pass | MIT | 7 mo ago |
| 52 | 52.Perforatedai Expert in PerforatedAI library for adding artificial dendrites to PyTorch neural networks. | PerforatedAI/ | 237 | — | ~17k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 53 | Author a new ShapeShifter graph-transformation pass for AMD Quark (ONNX or PyTorch) so it conforms to the pass framework's conventions and auto-registers. | amd/ | 182 | — | ~2.9k | Automated safety check: Pass | MIT | 13 days ago |
| 54 | 54.Ascendc End-to-end AscendC custom operator development for Ascend NPU in an ascend-kernel (csrc/ops + build.sh + torchnpu PyTorch custom op) project. | ascend-ai-coding/ | 174 | — | ~3.5k | Automated safety check: Pass | No licence | yesterday |
| 55 | Pick the right ComfyUI startup flags for VRAM, attention, caching, and speed. | artokun/ | 803 | — | ~3.1k | Automated safety check: Pass | MIT | 6 days ago |
| 56 | 56.Edit how to use the edit command properly | omegaml/ | 108 | — | ~206 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 57 | Disable or re-enable Cloudflare R2 (download-r2.pytorch.org) usage in managev2.py during R2 outages. | pytorch/ | 113 | — | ~1.5k | Automated safety check: Pass | Unknown | today |
| 58 | Profile ExecuTorch model execution. Use when measuring performance, analyzing operator timing, or debugging slow models. | pytorch/ | 5.1k | — | ~165 | Automated safety check: Pass | Unknown | yesterday |
| 59 | Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects. | matlab/ | 1.1k | — | ~2.8k | Automated safety check: Pass | Unknown | 2 days ago |
| 60 | Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning. | amd/ | 182 | — | ~1.4k | Automated safety check: Pass | MIT | 13 days ago |
| 61 | Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation. | ascend-ai-coding/ | 174 | — | ~4.6k | Automated safety check: Pass | No licence | yesterday |
| 62 | Guide for writing and modifying NKI kernels. An agent skill from uw-syfi/vibesys. | uw-syfi/ | 108 | — | ~5k | Automated safety check: Pass | MIT | today |
| 63 | Benchmarks LLM inference and drives GPU kernel optimization with Magpie. | amd/ | 408 | — | ~2.3k | Automated safety check: Pass | MIT | 2 days ago |
| 64 | Review PyTorch upstream unit-test (UT) PRs that enable Intel GPU (XPU) on existing tests. | intel/ | 115 | — | ~917 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 65 | Find reverts that landed on pytorch/pytorch main but are missing from a release branch (release/X.Y) because the reverted commit was already shipped in a release candidate, and open one cherry-pick… | pytorch/ | 113 | — | ~2.6k | Automated safety check: Pass | Unknown | today |
| 66 | 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 |
| 67 | Install or verify the AMD Quark package and its dependencies. | amd/ | 182 | — | ~1.8k | Automated safety check: Notes | MIT | 13 days ago |
| 68 | World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. | davila7/ | 33k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | today |
| 69 | World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. | davila7/ | 33k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | today |
| 70 | Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards. | Orchestra-Research/ | 13k | — | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 71 | Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX… | dotnet/ | 5.6k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 72 | Generate (and optionally open) a PyTorch release tracker / cherry-pick tracking issue from a release announcement, like https://github.com/pytorch/pytorch/issues/180506. | pytorch/ | 113 | — | ~2.7k | Automated safety check: Pass | Unknown | today |
| 73 | Orchestrates modular PyTorch profiler trace analysis with TraceLens: generates perf reports, prepares category data, runs system-level and compute-kernel subagents in parallel, validates outputs… | amd/ | 408 | — | ~760 | Automated safety check: Pass | MIT | 2 days ago |
| 74 | 74.Llama Nnc Develop and profile the edge-e3 PyTorch-to-NNC flow, including nnc/compiler.py lowering and generated ABI, example/llama smoke models, cpp/libnn runtime operators, BF16 correctness checks, and… | exeex/ | 110 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 15 days ago |
| 75 | Build production computer vision pipelines for object detection, tracking, and video analysis. | curiositech/ | 244 | — | ~4k | Automated safety check: Pass | MIT | 1 mo ago |
| 76 | Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)… | awslabs/ | 916 | — | ~910 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 77 | TRIGGER when user asks to create a microservice that calls Python, runs ML inference, or uses Python libraries (PyTorch, pandas, sentence-transformers, numpy) for its core compute. | microbus-io/ | 172 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 13 days ago |
| 78 | Generate a PyTorch release validation checklist issue by pulling open/closed issues from a GitHub milestone and cherry-picks from a release tracker issue. | pytorch/ | 113 | — | ~2.2k | Automated safety check: Pass | Unknown | today |
| 79 | Deep learning framework (PyTorch Lightning / lightning package). | K-Dense-AI/ | 48k | 1 repo | ~2.6k | Automated safety check: Notes | Apache-2.0 | 6 days ago |
| 80 | Multi-GPU setup for PerforatedAI with DataParallel or DistributedDataParallel (DDP). | PerforatedAI/ | 237 | — | ~5.5k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 81 | Computer vision engineering skill for object detection, image segmentation, and visual AI systems. | alirezarezvani/ | 28k | 1 repo | ~3.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 82 | Run, extend, debug, or review the public edge-e3 bare-metal software harness, including encrypted Verilator builds, hello and tensor examples, all example/llama/model smoke cases, PyTorch BF16… | exeex/ | 110 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 15 days ago |
| 83 | Supports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. | K-Dense-AI/ | 48k | 1 repo | ~5.6k | Automated safety check: Pass | MIT | 6 days ago |
| 84 | Update tools/scripts/generatebinarybuildmatrix.py when a PyTorch release goes live. | pytorch/ | 113 | — | ~1.7k | Automated safety check: Pass | Unknown | today |
| 85 | Run a bounded TileLang implementation and optimization task from a PyTorch reference or existing kernel through baseline analysis, a written plan, candidate edits, lowering inspection, validation… | sablin39/ | 145 | — | ~2.7k | Automated safety check: Pass | No licence | 26 days ago |
| 86 | Pin (or re-pin) the Linux manywheel builder docker images used by the nightly/release binary build workflows in pytorch/pytorch to a fixed .ci/docker build. | pytorch/ | 113 | — | ~2.1k | Automated safety check: Pass | Unknown | yesterday |
| 87 | 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 |
| 88 | 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 |
| 89 | 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 |
| 90 | 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 |
| 91 | 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 |
| 92 | 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 |
| 93 | 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 |
| 94 | 94.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 |
| 95 | 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 |
| 96 | 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 |