Topic · AI & LLM Engineering
Best model hubs and datasets skills, page 4
Model hubs and datasets skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 145 | Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. | NVIDIA/ | 3.5k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | today |
| 146 | 146.Dataset Finder A skill your agent uses when users need to search for datasets, download data files, or explore data repositories. | LeoYeAI/ | 2.2k | — | ~5.4k | Automated safety check: Pass | Proprietary | 2 mo ago |
| 147 | 147.Quark Torch Ptq Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request… | amd/ | 181 | — | ~2.3k | Automated safety check: Pass | MIT | 11 days ago |
| 148 | 148.Model Cards A skill your agent uses when authoring or interpreting Mitchell-extended model cards in this plugin. | Habitat-Thinking/ | 114 | — | ~1.3k | Automated safety check: Pass | Unknown | 18 days ago |
| 149 | Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). | NVIDIA/ | 3.5k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | today |
| 150 | End-to-end LLM accuracy evaluation on AMD ROCm (ROCm-only) — container setup, vLLM/SGLang/ATOM serving, lm-eval / lighteval / evalscope benchmarks. | amd/ | 181 | — | ~6.2k | Automated safety check: Pass | MIT | 11 days ago |
| 151 | This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. | agent-skills-hub/ | 111 | 1 repo | ~7.7k | Automated safety check: Pass | MIT | 7 days ago |
| 152 | Trending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick (architecture shift, size step, license change… | BankrBot/ | 1.2k | — | ~496 | Automated safety check: Pass | No licence | 4 days ago |
| 153 | 153.Aeon Paper Pick Surface the one AI / ML paper to read today from Hugging Face Papers, with the central claim, why it's worth an hour, where it might be wrong, and a time-budgeted read order. | BankrBot/ | 1.2k | — | ~557 | Automated safety check: Pass | No licence | 4 days ago |
| 154 | Migrate any HuggingFace model to Ascend NPU torchair graph mode (torch.compile) and benchmark it for accuracy and performance against NPU eager and CPU eager. | ascend-ai-coding/ | 174 | — | ~1.3k | Automated safety check: Pass | No licence | today |
| 155 | 155.Huggingface A skill your agent uses when running open models or working on the Hugging Face platform — the Inference Providers router or InferenceClient, Hub repos via the hf CLI, a dedicated Inference Endpoint… | ericrisco/ | 174 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 156 | 156.Runpod A skill your agent uses when running GPU compute on RunPod and deciding between Pods (hourly, always-on) and Serverless (per-second, autoscaling) for training, fine-tuning or inference — serverless… | ericrisco/ | 174 | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 157 | Shrink a HuggingFace safetensors model to 1 hidden layer for fast debugging without loading the full model into memory. | amd/ | 181 | — | ~980 | Automated safety check: Pass | MIT | 11 days ago |
| 158 | 158.Huggingface Verify your Hugging Face account and search the model hub. An agent skill from Anil-matcha/awesome-muse-connectors. | Anil-matcha/ | 1.3k | — | ~431 | Automated safety check: Pass | MIT | 4 days ago |
| 159 | 159.Hugging Face CLI Hugging Face Hub CLI (hf) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. | aiskillstore/ | 430 | 2 repos | ~7.2k | Automated safety check: Pass | Apache-2.0 | today |
| 160 | Search and download research datasets from Kaggle, HuggingFace, and repos | wentorai/ | 298 | 1 repo | ~2.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 161 | 161.Huggingface API Search and discover ML models, datasets, and Spaces on Hugging Face | wentorai/ | 298 | 1 repo | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 162 | Run NLP and CV model inference via Hugging Face free-tier API | wentorai/ | 298 | 1 repo | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 163 | 163.Skill Hub Use the skill-hub CLI to search, install, update, and publish agent skills from skill-hub.com. | CoWork-OS/ | 474 | — | ~586 | Automated safety check: Pass | MIT | today |
| 164 | 164.Discover ML Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. | rand/ | 181 | — | ~574 | Automated safety check: Pass | MIT | 7 mo ago |
| 165 | 165.Model Card Document a deployed ML/AI model so others can use it responsibly. | mohitagw15856/ | 1.4k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 166 | 166.CLI And UI Use smolagents command-line entry points, browser automation CLI, Gradio UI helpers, and lightweight web-server patterns. | VectorSpaceLab/ | 330 | — | ~859 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 167 | 167.Diffusers A skill your agent uses for Hugging Face Diffusers tasks: pipeline inference, schedulers, adapters/loaders, training recipes, modular pipelines, conversion helpers, CLI checks, and repo maintenance. | VectorSpaceLab/ | 330 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 168 | Build ONNX export and validation commands, package/load timm models via Hugging Face Hub or local directories, use Torch Hub compatibility, and safely clean or average checkpoints. | VectorSpaceLab/ | 330 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 169 | 169.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/ | 330 | — | ~1.1k | Automated safety check: Pass | Unknown | 1 mo ago |
| 170 | 170.Morning AI AI news tracking skill that monitors 80+ entities across 6 free sources (Reddit, HN, GitHub, HuggingFace, arXiv, X/Twitter). | davepoon/ | 3.6k | — | ~405 | Automated safety check: Pass | MIT | today |
| 171 | Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints. | criptogus/ | 288 | — | ~539 | Automated safety check: Pass | CC-BY-SA-4.0 | yesterday |
| 172 | MindSpeed-MM weight conversion guide using mm-convert CLI tool. | ascend-ai-coding/ | 174 | — | ~2.1k | Automated safety check: Pass | No licence | today |
| 173 | 173.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 |
| 174 | A skill your agent uses when preparing the accountability artifacts that accompany an ACM FAccT paper — datasheets for datasets, model cards, data statements, audit and impact-assessment… | brycewang-stanford/ | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | 12 days ago |
| 175 | A skill your agent uses when preparing an accepted ACM FAccT paper for camera-ready — de-anonymizing and adding the withheld Positionality/Acknowledgements statements, switching to the acmart… | brycewang-stanford/ | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | 12 days ago |
| 176 | A skill your agent uses when strengthening ACM FAccT transparency and reproducibility — releasing code, data, and analysis for quantitative audits; documenting datasets and models with datasheets… | brycewang-stanford/ | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | 12 days ago |
| 177 | 177.Open Weights A skill your agent uses when choosing an open-weight LLM and clearing it for use — which family and size fit the task, the hardware and the budget, and above all whether the license permits shipping. | ericrisco/ | 174 | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 178 | 178.Mteb Leaderboard Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks). | lazyFrogLOL/ | 128 | — | ~2.1k | Automated safety check: Pass | No licence | 4 mo ago |
| 179 | 179.Tdc Predict binding-related effects (ADMET) using TDC models from Hugging Face | lamm-mit/ | 244 | — | ~631 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
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