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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | 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 | yesterday |
| 98 | 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 | 2 days ago |
| 99 | 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 | yesterday |
| 100 | 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 | 2 days ago |
| 101 | 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 | 2 days ago |
| 102 | Add and manage evaluation results in Hugging Face model cards. | sickn33/ | 47k | 2 repos | ~418 | Automated safety check: Pass | MIT | 2 days ago |
| 103 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 104 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 105 | Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 106 | 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 | 2 days ago |
| 107 | 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 | 2 days ago |
| 108 | lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.). An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 2 repos | ~3.1k | Automated safety check: Pass | MIT | 3 days ago |
| 109 | 109.Huggingface Best Find and compare recommended Hugging Face models for a task using benchmarks, model size, and device constraints. | waybarrios/ | 534 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 110 | A skill your agent uses to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors… | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 111 | 111.Model Registry Curated download URLs and target directories, organized by family (Flux, WAN, LTX, Qwen, Z-Image, SD15/SDXL), for every model the comfyui-mcp skills reference, covering checkpoints, VAEs, text… | artokun/ | 803 | — | ~2.1k | Automated safety check: Pass | MIT | 6 days ago |
| 112 | Generate images via Stable Diffusion (HuggingFace Diffusers, local/API) | taracodlabs/ | 852 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 28 days ago |
| 113 | Download and convert AI models using the Model Download microservice. | open-edge-platform/ | 171 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 114 | 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 |
| 115 | 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 |
| 116 | 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 |
| 117 | 117.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/ | 257 | — | ~782 | Automated safety check: Pass | MIT | yesterday |
| 118 | 118.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/ | 1.2k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 119 | 119.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/ | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 120 | 120.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/ | 1.2k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 121 | 121.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/ | 234 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 122 | 122.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/ | 770 | — | ~5.3k | Automated safety check: Pass | MIT | yesterday |
| 123 | Prepare export and downstream evaluation handoff for a planned or completed Quark PTQ run. | amd/ | 182 | — | ~1.5k | Automated safety check: Pass | MIT | 13 days ago |
| 124 | Validate workspace shape, model paths, output directories, and repo structure before downstream Quark skills proceed. | amd/ | 182 | — | ~1.3k | Automated safety check: Pass | MIT | 13 days ago |
| 125 | Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 126 | 126.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 |
| 127 | 127.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/ | 182 | — | ~2.3k | Automated safety check: Pass | MIT | 13 days ago |
| 128 | Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 129 | This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. | agent-skills-hub/ | 112 | 1 repo | ~7.7k | Automated safety check: Pass | MIT | 9 days ago |
| 130 | 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 | yesterday |
| 131 | 131.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/ | 180 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 132 | 132.Ollama A skill your agent uses when running open-weight LLMs locally with Ollama — pulling and tagging models, calling the local API, picking a quantization or GGUF, writing Modelfiles, and sizing VRAM and… | ericrisco/ | 180 | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 133 | 133.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/ | 180 | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 134 | Shrink a HuggingFace safetensors model to 1 hidden layer for fast debugging without loading the full model into memory. | amd/ | 182 | — | ~980 | Automated safety check: Pass | MIT | 13 days ago |
| 135 | Transcribes audio and video files to text using pluggable ASR backends. | swyxio/ | 176 | — | ~8.5k | Automated safety check: Pass | MIT | 6 days ago |
| 136 | 136.Huggingface Hub HuggingFace Hub — download models/datasets, upload artifacts, search, and manage tokens via CLI and Python API. | AlexAI-MCP/ | 135 | — | ~965 | Automated safety check: Pass | MIT | 6 mo ago |
| 137 | Search and download research datasets from Kaggle, HuggingFace, and repos | wentorai/ | 298 | 1 repo | ~2.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 138 | 138.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 |
| 139 | 139.Embeddings Add embeddings to Unstructured elements with provider-specific encoders, credential-safe configuration, and metadata-preserving enrichment checks. | VectorSpaceLab/ | 331 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 140 | 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/ | 331 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 141 | BoltzGen 昇腾 NPU 迁移与复现 Skill,适用于在华为 Ascend NPU 上部署 BoltzGen 生成式蛋白设计与逆折叠流程,覆盖环境准备、权重缓存、cuEquivariance 兼容、源码适配和端到端推理验证。 | ascend-ai-coding/ | 174 | — | ~3.8k | Automated safety check: Pass | No licence | yesterday |
| 142 | HuggingFace Diffusers 环境配置指南,用于华为昇腾 NPU。覆盖 CANN 版本检测、PyTorch + torchnpu 安装、Diffusers 库安装及环境验证。当用户需要在昇腾 NPU 上配置 Diffusers 环境时使用。 | ascend-ai-coding/ | 174 | — | ~566 | Automated safety check: Pass | No licence | yesterday |
| 143 | 143.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/ | 180 | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 144 | 144.Vllm A skill your agent uses when self-hosting an open-weight LLM for high-throughput concurrent serving with vLLM — running an OpenAI-compatible endpoint, splitting a model across GPUs with tensor or… | ericrisco/ | 180 | — | ~3.6k | Automated safety check: Pass | MIT | yesterday |