Topic · AI & LLM Engineering
Best model hubs and datasets skills, page 3
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 |
|---|---|---|---|---|---|---|---|---|
| 97 | A skill your agent uses when benchmarking Skippy exact-prefix cache across model families, comparing Skippy against llama-server, producing README benchmark tables, updating… | Mesh-LLM/ | 3.5k | — | ~764 | Automated safety check: Pass | Apache-2.0 | today |
| 98 | Load OpenMed clinical/biomedical NER models from the Hugging Face Hub or a local path and reuse them efficiently across calls. | maziyarpanahi/ | 5.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 99 | Create and manage datasets on Hugging Face Hub. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | today |
| 100 | Build, deploy, debug, or maintain a Hugging Face Space using Gradio, Docker, or Static SDKs. | waybarrios/ | 533 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 101 | Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. | sickn33/ | 47k | 1 repo | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 102 | A skill your agent uses when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. | sickn33/ | 47k | 1 repo | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 103 | 抓取并分析"数据库、AI、GitHub、AI论文"相关的近1周内最新内容,分类汇总,输出图文并茂(含内置 Mermaid 图)的 Markdown 周报到当前项目的 markdown/ 目录。 | digoal/ | 8.6k | — | ~2.4k | Automated safety check: Pass | GPL-2.0 | 10 days ago |
| 104 | 104.Onboard Marin Verify or complete a new internal Marin developer's local setup and access to GitHub, GCP, Iris, Weights & Biases, Hugging Face, and optional CoreWeave storage. | marin-community/ | 3.9k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 105 | 105.Academic Aio A skill your agent uses when a medical AI paper should be found and cited by AI search engines and RAG tools. | Aperivue/ | 329 | 1 repo | ~4.8k | Automated safety check: Pass | MIT | 2 days ago |
| 106 | 106.Transformers JS Run Hugging Face models in JavaScript or TypeScript with Transformers.js, WebGPU, or WASM across browser, Node.js, Bun, and Deno. | waybarrios/ | 533 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 107 | Train object detection, image classification, and SAM or SAM2 segmentation models locally or on Hugging Face Jobs, with dataset validation and results saved to the Hub. | sickn33/ | 47k | 1 repo | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 108 | Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community… | sickn33/ | 47k | 1 repo | ~3.9k | Automated safety check: Pass | Apache-2.0 | today |
| 109 | AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. | sickn33/ | 47k | 1 repo | ~4.6k | Automated safety check: Pass | Apache-2.0 | today |
| 110 | 110.Add Dataset Register a named Hugging Face dataset for Marin by inspecting its schema and adding the appropriate experiments/datasets module. | marin-community/ | 3.9k | — | ~458 | Automated safety check: Pass | Apache-2.0 | today |
| 111 | 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 | 5 days ago |
| 112 | Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. | sickn33/ | 47k | 1 repo | ~2.5k | Automated safety check: Pass | Apache-2.0 | today |
| 113 | Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. | sickn33/ | 47k | 1 repo | ~8.3k | Automated safety check: Pass | Apache-2.0 | today |
| 114 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.5k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | today |
| 115 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.5k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 116 | Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | today |
| 117 | 117.Model Card A skill your agent uses when a trained medical-imaging model needs its documentation. | Aperivue/ | 329 | — | ~1.5k | Automated safety check: Pass | MIT | 2 days ago |
| 118 | 118.Upload Hf Model Upload or publish model weights to the Hugging Face Hub. An agent skill from marin-community/marin. | marin-community/ | 3.9k | — | ~264 | Automated safety check: Pass | Apache-2.0 | today |
| 119 | 119.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 | 1 repo | ~574 | Automated safety check: Pass | MIT | 7 mo ago |
| 120 | 120.Huggingface Best Find and compare recommended Hugging Face models for a task using benchmarks, model size, and device constraints. | waybarrios/ | 533 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 121 | Generate research questions from existing materials — codebooks, survey questionnaires, datasets, or published papers/abstracts. | joshzyj/ | 168 | — | ~4.2k | Automated safety check: Pass | Unknown | 19 days ago |
| 122 | 122.Transformers JS Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. | sickn33/ | 47k | 1 repo | ~444 | Automated safety check: Pass | Apache-2.0 | today |
| 123 | Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence. | aiskillstore/ | 430 | 3 repos | ~7.9k | Automated safety check: Pass | No licence | today |
| 124 | Generate images via Stable Diffusion (HuggingFace Diffusers, local/API) | taracodlabs/ | 851 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 24 days ago |
| 125 | Download and convert AI models using the Model Download microservice. | open-edge-platform/ | 169 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 126 | 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/ | 3.5k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | today |
| 127 | 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/ | 3.5k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | today |
| 128 | Detect and defend against indirect prompt injection hidden in web pages, documents, and images consumed by an agent, via content extraction (HTML/PDF/OCR), normalization, and scanning with LLM… | mukul975/ | 34k | — | ~2.8k | Automated safety check: Warn | Apache-2.0 | 1 mo ago |
| 129 | Runs NVIDIA garak probe suites (jailbreak, prompt injection, data leakage, toxicity, and more) against an LLM endpoint - Hugging Face models, OpenAI-compatible APIs, or Bedrock - then interprets the… | mukul975/ | 34k | — | ~2.9k | Automated safety check: Warn | Apache-2.0 | 1 mo ago |
| 130 | Self-healing China mirror source resolver. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~4.6k | Automated safety check: Notes | MIT | 2 mo ago |
| 131 | 131.Models Add any Hugging Face image or video model, checkpoint or LoRA to Guaardvark from a URL, list what is installed, and download registry models on request. | guaardvark/ | 255 | — | ~782 | Automated safety check: Pass | MIT | today |
| 132 | 132.Morning AI AI news tracking skill that monitors 80+ entities across 6 free sources (Reddit, HN, GitHub, HuggingFace, arXiv, X/Twitter). | davepoon/ | 3.6k | 1 repo | ~405 | Automated safety check: Pass | MIT | yesterday |
| 133 | Interactive Gradio UI to paint a region and remove solid key-color background (white / green / magenta) only inside that selection. | godot-fun/ | 182 | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 134 | Hugging Face Dataset Viewer | sickn33/ | 47k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 135 | 135.Hugging Face CLI Execute Hugging Face Hub operations using the hf CLI. An agent skill from majiayu000/claude-skill-registry. | majiayu000/ | 666 | 2 repos | ~1.9k | Automated safety check: Pass | MIT | today |
| 136 | 136.Hugging Science A skill your agent uses when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering… | majiayu000/ | 666 | 2 repos | ~2.4k | Automated safety check: Notes | MIT | today |
| 137 | 137.Engine Mlx Lm Serve an MLX or Hugging Face safetensors model already on this Mac with mlx-lm's server and join it to the person's fleet. | autonomous-ai/ | 1.1k | — | ~1.9k | Automated safety check: Pass | MIT | today |
| 138 | 138.Engine Sglang Serve a Hugging Face model with SGLang on a Linux machine with an NVIDIA or AMD GPU, configured from the model's SGLang cookbook page — or, when it has none, from the model's own files — and join it… | autonomous-ai/ | 1.1k | — | ~1.5k | Automated safety check: Pass | MIT | today |
| 139 | 139.Engine Vllm Serve a Hugging Face model with vLLM on a Linux machine with an NVIDIA or AMD GPU, configured from the model's official vLLM recipe — or, when it has none, from the model's own files — and join it… | autonomous-ai/ | 1.1k | — | ~1.9k | Automated safety check: Pass | MIT | today |
| 140 | 140.GitHub Trending Curated trending across GitHub repos and the Hugging Face Hub (models, datasets, spaces) - filtered, clustered, and labeled by momentum with a one-line why-notable per pick. | aeonfun/ | 767 | — | ~5.3k | Automated safety check: Pass | MIT | today |
| 141 | Prepare export and downstream evaluation handoff for a planned or completed Quark PTQ run. | amd/ | 181 | — | ~1.5k | Automated safety check: Pass | MIT | 10 days ago |
| 142 | Validate workspace shape, model paths, output directories, and repo structure before downstream Quark skills proceed. | amd/ | 181 | — | ~1.3k | Automated safety check: Pass | MIT | 10 days ago |
| 143 | 143.Publish Model 学習済み Lightning checkpoint (.ckpt) を ONNX export → sanity check → RTF benchmark → HuggingFace upload まで連鎖実行する read-mostly skill。 | ayutaz/ | 220 | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 144 | 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 |
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