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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | A skill your agent uses when adding, debugging, or validating a bring-your-own VLM in VSS RT-VLM, including custom Hugging Face or NGC checkpoints, vLLM adapters or plugins, model shims, and… | NVIDIA-AI-Blueprints/ | 1.9k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 50 | Convert a HuggingFace ASR fine-tune into a sherpa-onnx external model, publish it, and add it to the Anti-Vocale community catalog. | RisorseArtificiali/ | 118 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 51 | Estimate GPU memory usage for Megatron-based MoE (Mixture of Experts) and dense models. | yzlnew/ | 149 | — | ~2.2k | Automated safety check: Pass | No licence | 3 mo ago |
| 52 | Half-Quadratic Quantization for LLMs without calibration data. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 53 | 53.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 |
| 54 | Loads large language models in 8-bit or 4-bit with bitsandbytes so they fit smaller GPUs, and sets up QLoRA fine-tuning on a 4-bit base model. | Orchestra-Research/ | 13k | 2 repos | ~2.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 55 | 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 |
| 56 | Generates text embeddings locally with the sentence-transformers library for RAG, semantic search, clustering and similarity, with model picks for general, multilingual and legal text. | Orchestra-Research/ | 13k | 2 repos | ~1.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 57 | Explains three ways to speed up LLM inference: draft-model speculative decoding, Medusa heads and lookahead decoding with Jacobi iteration, and when each one fits. | Orchestra-Research/ | 13k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 58 | Guide developers through creating a custom data ingestor plugin for AutoRAG-Research. | NomaDamas/ | 149 | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | 2 mo ago |
| 59 | Loads pre-trained Hugging Face Transformers models for text, vision and audio tasks, runs inference with pipelines and fine-tunes on custom datasets. | davila7/ | 33k | 11 repos | ~1.2k | Automated safety check: Pass | MIT | today |
| 60 | Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community… | huggingface/ | 11k | 1 repo | ~4.4k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 61 | Deploy vLLM to Kubernetes (K8s) with GPU support, health probes, and OpenAI-compatible API endpoint. | vllm-project/ | 102 | — | ~2k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 62 | Fills and maintains the knowledgeCutoff, family and generation fields on model cards in LobeHub's model bank, from a single new model up to repo-wide backfills. | lobehub/ | 83k | — | ~2k | Automated safety check: Pass | Unknown | today |
| 63 | A skill your agent uses when converting Hugging Face SafeTensors checkpoints into split BF16 GGUF model repos with skippy-quantize on Hugging Face Jobs or a local machine, then publishing the… | Mesh-LLM/ | 3.5k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 64 | Run the Nemotron-3.5 Lightning Text2SQL LoRA fine-tuning tutorial (NeMo Megatron-Bridge) end-to-end for the user on a single node: data prep, checkpoint conversion, LoRA fine-tuning of the 30B-A3B… | NVIDIA-NeMo/ | 2.1k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 65 | Use Hugging Face Hub via MCP server tools. An agent skill from huggingface/skills. | huggingface/ | 11k | 2 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 66 | Entry point for hosting a model on Amazon SageMaker: asks a few questions, picks a deployment pathway and hands off to the specialist skills. | huggingface/ | 11k | 1 repo | ~2.1k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 67 | Reference for post-training language models with TRL: which trainer and dataset format to use for SFT, DPO, GRPO, KTO and reward models, and how to add LoRA. | huggingface/ | 11k | 1 repo | ~1.1k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 68 | Set up the minimal set of artifacts (tokenized DCLM corpus shard + released HuggingFace checkpoint converted to DCP) required to benchmark, profile, or regression-test a MoE model in PithTrain. | mlc-ai/ | 355 | — | ~399 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 69 | Run, monitor, stop and report Primus convergence tests -- training a model on a real corpus and checking that the loss curve is healthy -- from a plain-language request such as "run convergence test… | AMD-AGI/ | 131 | — | ~2.1k | Automated safety check: Pass | Unknown | today |
| 70 | 70.Docling PRIMARY skill for converting .pdf, .docx, .pptx, .xlsx, .doc, .ppt, .xls, images, and audio/video files (.mp3, .wav, .m4a, .mp4, .mov, etc.) to Markdown. | zhuzhaoyun/ | 433 | — | ~2.6k | Automated safety check: Pass | Unknown | yesterday |
| 71 | Uses Meta's LlamaGuard moderation model to screen prompts and model replies against six safety categories, with vLLM, FastAPI and NeMo Guardrails setups. | Orchestra-Research/ | 13k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 72 | Best practices for the Common utilities package in LlamaFarm. | llama-farm/ | 836 | — | ~885 | Automated safety check: Pass | Apache-2.0 | 4 mo ago |
| 73 | 73.Discover Given a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed… | taishi-i/ | 1k | — | ~6.5k | Automated safety check: Notes | CC0-1.0 | 5 days ago |
| 74 | 74.Hf Dynacell Develop, deploy, and maintain the DynaCell virtual-staining HuggingFace demo hosted at biohub/dynacell (ZeroGPU). | mehta-lab/ | 104 | — | ~1.1k | Automated safety check: Pass | BSD-3-Clause | yesterday |
| 75 | Runs pre-trained Hugging Face models in JavaScript or TypeScript with Transformers.js, in browsers or Node.js, Bun and Deno, for text, vision, audio and multimodal tasks. | huggingface/ | 11k | 1 repo | ~6.2k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 76 | 76.Merge Ov2 Bilingual guide for merging ViT + LLM into LlavaOnevision2 HF checkpoint and validating weight/inference consistency | EvolvingLMMs-Lab/ | 1.2k | — | ~7.6k | Automated safety check: Pass | Apache-2.0 | today |
| 77 | A skill your agent uses when collecting public news candidates from Hacker News, GitHub Trending, Hugging Face papers, and other web sources for briefings and daily reports. | dracohu2025-cloud/ | 227 | — | ~596 | Automated safety check: Pass | MIT | 24 days ago |
| 78 | A skill your agent uses when changing mesh-llm automation or CLI flows that discover Hugging Face GGUF models, plan CPU Hugging Face Jobs for layer-package splitting, estimate max cost, or publish… | Mesh-LLM/ | 3.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 79 | Deploy the article to a Hugging Face Space. An agent skill from adithya-s-k/FineEnvs. | adithya-s-k/ | 461 | — | ~864 | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 80 | 80.Relay Set up, check, stop, or delete a retalk relay server (retalk-server). | xhluca/ | 191 | — | ~1.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 81 | Guides LLM fine-tuning with LoRA and QLoRA through Hugging Face PEFT, from dataset validation and training checks to adapter merging, quantization and deployment. | Jeffallan/ | 12k | — | ~1.7k | Automated safety check: Pass | MIT | 8 days ago |
| 82 | Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval. | henryalouf/ | 157 | — | ~1.6k | Automated safety check: Pass | MIT | 4 mo ago |
| 83 | A skill your agent uses when running quantization of a BF16/FP16 GGUF repo and Skippy layer-package creation as one local or Hugging Face Jobs workflow, publishing both artifacts to Hugging Face. | Mesh-LLM/ | 3.5k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 84 | 84.Llama Cpp llama.cpp local GGUF inference + HF Hub model discovery. An agent skill from Tommy-yw/RunbookHermes. | Tommy-yw/ | 546 | 4 repos | ~2.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 85 | Add support for a new HuggingFace MLX model to AFM. An agent skill from scouzi1966/maclocal-api. | scouzi1966/ | 346 | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 86 | 抓取并汇总"数据库、AI、GitHub、AI 论文"近 1 周新闻,输出图文并茂(含 mermaid 图)的 markdown 周报到当前项目的 markdown/ 目录。覆盖 10 个数据源:postgresweekly.com/issues(自动解析最新 issue… | digoal/ | 8.6k | — | ~1.2k | Automated safety check: Pass | GPL-2.0 | 2 days ago |
| 87 | Train or fine-tune TRL language models on Hugging Face Jobs, including SFT, DPO, GRPO, and GGUF export. | henryalouf/ | 157 | — | ~6.9k | Automated safety check: Pass | MIT | 4 mo ago |
| 88 | Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server. | vllm-project/ | 102 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | 6 mo ago |
| 89 | Track and visualize ML training experiments with Trackio. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 2 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 90 | 用于查找代码示例、开源项目、GitHub Issue、技术问答、开发者讨论、HuggingFace 模型/数据集/Space。 | OpenSenseNova/ | 5.7k | — | ~905 | Automated safety check: Notes | MIT | 2 days ago |
| 91 | Select and verify the current region-specific serving container URI for a SageMaker model deployment. | waybarrios/ | 534 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 92 | 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 |
| 93 | Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. | sickn33/ | 47k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 94 | Curated upstream guidance for Huggingface Community Evals; use when the workflow matches the user goal. | sickn33/ | 47k | 1 repo | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 95 | 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 | yesterday |
| 96 | Build, deploy, debug, or maintain a Hugging Face Space using Gradio, Docker, or Static SDKs. | waybarrios/ | 534 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 5 days ago |