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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | Guides mechanistic interpretability work with TransformerLens: loading models, caching activations, using HookPoints, activation patching and attention-pattern analysis. | Orchestra-Research/ | 13k | 3 repos | ~3k | Automated safety check: Pass | MIT | 3 mo ago |
| 98 | Step-by-step playbook for migrating a pytorch/pytorch .github/workflows/.yml from EC2 to OSDC (ARC) runners — covers both dial-up and 100% opt-in patterns, with the inputs that must be plumbed… | pytorch/ | 113 | — | ~2k | Automated safety check: Pass | Unknown | yesterday |
| 99 | Guides users through selecting the right PINA solver for their problem, or creating a custom solver when no built-in fits. | PINA-org/ | 798 | — | ~2.9k | Automated safety check: Pass | MIT | 4 days ago |
| 100 | 100.Model Builder QAI ModelBuilder. An agent skill from qualcomm/qai-appbuilder. | qualcomm/ | 247 | — | ~4.1k | Automated safety check: Pass | BSD-3-Clause | today |
| 101 | Rigor Run skill for README-first deep learning repo reproduction. | lllllllama/ | 497 | 1 repo | ~691 | Automated safety check: Pass | MIT | 17 days ago |
| 102 | Generate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic — formulas with derivations, from-scratch PyTorch code, comparison tables, and 25 高频面试题 (L1 必会 / L2 进阶 / L3 顶级 lab). | wanshuiyin/ | 17k | 1 repo | ~3.3k | Automated safety check: Notes | MIT | 3 days ago |
| 103 | 103.Debug Cuda Crash Call this skill when you need to debug CUDA crashes in SGLang using kernel API logging | sgl-project/ | 37k | 2 repos | ~4.9k | Automated safety check: Pass | Apache-2.0 | today |
| 104 | 104.Test Mode Guide for using MPK test mode to unit-test individual layers or multi-layer pipelines through the full compilation pipeline. | mirage-project/ | 2.5k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 105 | 将原生 PyTorch 自定义算子库、Torch extension、生态库(TorchCodec/FlashInfer/DeepEP 等)以及 Kernel DSL 生态(Triton/TileLang/TVM FFI 等)以最小修改方式接入 PaddlePaddle。遇到以下场景务必使用:迁移外部算子库到 Paddle;分析 PFCCLab fork 与上游的兼容差异;处理… | PaddlePaddle/ | 24k | — | ~883 | Automated safety check: Pass | Apache-2.0 | today |
| 106 | 106.Code Review A skill your agent uses when reviewing a pull request or diff in the quax repository. | nstarman/ | 143 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 107 | Render a single-panel PAI figure of score versus parameter count from sweep CSVs, PAI run folders, or hand-supplied numbers. | PerforatedAI/ | 237 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 108 | 108.Triaging Issues Triages GitHub issues by routing to oncall teams, applying labels, and closing questions. | pytorch/ | 104k | — | ~4.2k | Automated safety check: Pass | Unknown | today |
| 109 | Check PyTorch ciflow/xpu (xpu.yml) on the main branch, collect the failing XPU test cases from the most recent completed run(s), analyze the ROOT CAUSE of each failure with AI, and produce a list… | intel/ | 115 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | today |
| 110 | Analyze single-file PyTorch/Kineto Chrome trace .json(.gz) files using the VeloQ CLI. | lucifer1004/ | 128 | — | ~1.3k | Automated safety check: Pass | MIT | 6 days ago |
| 111 | Run, resume, monitor, diagnose, and report Quark Quant-Perf workflows for PyTorch and HuggingFace transformers models. | amd/ | 182 | — | ~3k | Automated safety check: Pass | MIT | 13 days ago |
| 112 | Guide users through Cosmos3 supervised fine-tuning (SFT) post-training: preparing the example dataset and Wan2.2 VAE, converting the base checkpoint to DCP, launching distributed training (paired… | NVIDIA/ | 560 | — | ~2.7k | Automated safety check: Pass | Unknown | today |
| 113 | Patterns and pitfalls for the ONNX-domain Attention operator's CUDA implementation in ONNX Runtime: dispatch cascade, eligibility limits, mask and bias kernels, and test routing. | microsoft/ | 22k | — | ~6.5k | Automated safety check: Pass | MIT | today |
| 114 | 114.Extending Ocannl Touch-lists for common OCANNL extension tasks: adding a primitive operation, adding or extending a backend, extending shape inference, and diagnosing output differences between backends. | ahrefs/ | 118 | — | ~728 | Automated safety check: Pass | BSD-2-Clause | 3 days ago |
| 115 | Convert PyTorch ATDISPATCH macros to ATDISPATCHV2 format in ATen C++ code. | intel/ | 115 | 3 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 116 | 116.Moe Training Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. | Orchestra-Research/ | 13k | 2 repos | ~3.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 117 | Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. | Orchestra-Research/ | 13k | 2 repos | ~3.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 118 | Guides causal experiments on PyTorch models with pyvene, such as causal tracing, activation patching and interchange intervention training, to test how a model works. | Orchestra-Research/ | 13k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 119 | Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery. | Orchestra-Research/ | 13k | 2 repos | ~2.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 120 | Guides reinforcement-learning research with torchforge, Meta's PyTorch-native library that keeps RL algorithms apart from infrastructure, including GRPO math-reasoning runs. | Orchestra-Research/ | 13k | 2 repos | ~2.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 121 | Sets up large-scale LLM training with NVIDIA Megatron-Core, choosing tensor, pipeline, data, context and expert parallelism for a given model size and GPU count. | Orchestra-Research/ | 13k | 2 repos | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 122 | 122.Select Trainer Guides users through configuring the PINA Trainer for solver training, including batching strategy, data splitting, and Lightning options. | PINA-org/ | 798 | — | ~1.3k | Automated safety check: Pass | MIT | 4 days ago |
| 123 | Export a PyTorch model to .pte format for ExecuTorch. Use when converting models, lowering to edge, or generating .pte files. | pytorch/ | 5.1k | — | ~238 | Automated safety check: Pass | Unknown | yesterday |
| 124 | Processes digital pathology whole slide images with histolab: tissue detection, mask creation, tile extraction and dataset preparation for deep learning. | davila7/ | 33k | 11 repos | ~5.1k | Automated safety check: Pass | MIT | yesterday |
| 125 | Builds machine learning pipelines on clinical data with PyHealth: EHR datasets, prediction tasks, medical code mapping, healthcare models and evaluation. | davila7/ | 33k | 11 repos | ~4.4k | Automated safety check: Pass | MIT | yesterday |
| 126 | Organizes PyTorch training code into LightningModules, DataModules and Trainers, with multi-GPU strategies, callbacks and logging configured. | davila7/ | 33k | 11 repos | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 127 | Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). | matlab/ | 184 | — | ~3.4k | Automated safety check: Pass | Unknown | yesterday |
| 128 | Covers logging and viewing training metrics, histograms, model graphs, embeddings and profiles with TensorBoard in PyTorch and TensorFlow projects. | Orchestra-Research/ | 13k | 3 repos | ~3.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 129 | Rigor Intake helper for README-first deep learning repo reproduction. | lllllllama/ | 497 | 1 repo | ~531 | Automated safety check: Pass | MIT | 17 days ago |
| 130 | 130.Spec Check Review or refresh repository specs against implementation and tests. | gdsfactory/ | 131 | — | ~650 | Automated safety check: Pass | Apache-2.0 | 9 days ago |
| 131 | 131.Add Transform Full checklist for adding a new transform to AlbumentationsX. | albumentations-team/ | 567 | — | ~1.7k | Automated safety check: Pass | AGPL-3.0 | today |
| 132 | Applies the reasoning, architectural principles, and AI philosophy of Christopher Manning (natural language processing expert, Stanford University, director of Stanford AI Lab). | K-Dense-AI/ | 282 | — | ~1.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 133 | Review 3DGS implementation code for correctness, performance bugs, and best practices. | jaccen/ | 161 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 134 | 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 | yesterday |
| 135 | 135.Deepchem Molecular machine learning toolkit. An agent skill from davila7/claude-code-templates. | davila7/ | 33k | 10 repos | ~4.4k | Automated safety check: Pass | MIT | yesterday |
| 136 | 136.Uv Pypi Publish 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 |
| 137 | Audits SKILL.md files in this repo's skills directory for references to functions, classes, or modules (mentioned by name in prose, e.g. | PINA-org/ | 798 | — | ~1.5k | Automated safety check: Pass | MIT | 4 days ago |
| 138 | 138.AI Review 使用 PaddlePaddle 仓库规则评审 Pull Request 和全仓库代码变更,覆盖正确性、兼容性、算子、分布式、数值、性能、安全、测试、构建和 PR 信息。当需要审查 Paddle 的代码、测试、算子 YAML、C++/CUDA/XPU kernel、Python API、分布式逻辑或 CI 配置时使用。 | PaddlePaddle/ | 24k | — | ~303 | Automated safety check: Pass | Apache-2.0 | today |
| 139 | A skill your agent uses when designing or reviewing self-distillation workflows for agentic models, including trace collection, teacher or judge feedback, rejection sampling, critique, conversion to… | burtenshaw/ | 153 | — | ~354 | Automated safety check: Pass | Apache-2.0 | 27 days ago |
| 140 | Guide to using Mamba selective state-space models for linear-time sequence modeling, from the Mamba block and pretrained checkpoints to Mamba-2 and speed comparisons. | Orchestra-Research/ | 13k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 141 | Walks through nanoGPT, Karpathy's compact GPT implementation: training on Shakespeare, reproducing GPT-2, fine-tuning GPT-2 checkpoints and training on your own text. | Orchestra-Research/ | 13k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 142 | Explains RWKV, a hybrid that trains in parallel like a GPT and runs inference like an RNN with constant memory per token, plus usage, fine-tuning and troubleshooting. | Orchestra-Research/ | 13k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 143 | 143.Run Train Rigor Train skill for deep learning research repositories. An agent skill from lllllllama/RigorPilot-Skills. | lllllllama/ | 497 | 1 repo | ~633 | Automated safety check: Pass | MIT | 17 days ago |
| 144 | 144.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 |