MCP CheckClaude skills for Hugging Face
The 30 strongest of 57 Hugging Face skills on GitHub. Skills built for Hugging Face come first; no repository gets more than 3 spots. Each links to its folder; copy it into ~/.claude/skills/ to use it.
huggingface tokenizers
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly…
Orchestra-Research/AI-Research-SKILLs★ 14kMITFolder:
huggingface-tokenizershuggingface accelerate
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace…
Orchestra-Research/AI-Research-SKILLs★ 14kMITFolder:
acceleratehuggingface
Verify your Hugging Face account and search the model hub. Read-only. Trigger phrases: hugging face, huggingface, hf model, search models.
Anil-matcha/awesome-muse-connectors★ 1.4kMITFolder:
huggingfacehuggingface datasets
Apply hugging face datasets in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses hugging face datasets or its strengths fit the task.
sandbaseai/sandbase-skills★ 203Apache-2.0Folder:
huggingface-datasetshuggingface gradio
Plan, implement, or review hugging face gradio work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests hugging face gradio work.
sandbaseai/sandbase-skills★ 203Apache-2.0Folder:
huggingface-gradioai infrastructure huggingface inference
Hugging Face Inference SDK patterns for TypeScript/Node.js — InferenceClient setup, chat completion, text generation, streaming, embeddings, image generation, audio transcription, translation, summarization, and Inference Endpoints
agents-inc/skills★ 26MITFolder:
ai-infrastructure-huggingface-inferencehuggingface best
Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: \"best model for X\", \"what model should I use for\", \"top models for…
bg-szy/TOP-SKILLS★ 6No licence statedFolder:
huggingface-besthuggingface community evals
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results…
bg-szy/TOP-SKILLS★ 6No licence statedFolder:
huggingface-community-evalshuggingface local models
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
bg-szy/TOP-SKILLS★ 6No licence statedFolder:
huggingface-local-modelsmamba architecture
State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.
Orchestra-Research/AI-Research-SKILLs★ 14kMITFolder:
mambafine tuning expert
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer…
Jeffallan/claude-skills★ 12kMITFolder:
fine-tuning-expertsn search code
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/SenseNova-Skills★ 6kMITFolder:
sn-search-codekermt embed
Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized embedding extraction and write model bundles,…
NVIDIA/skills★ 3.8kApache-2.0Folder:
bionemo-kermt-embedkermt continue pretrain
Continue KERMT pretraining on a custom SMILES corpus with a grover_base, cmim, or hybrid checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized training and write model…
NVIDIA/skills★ 3.8kApache-2.0Folder:
bionemo-kermt-continue-pretrainkermt finetune
Finetune a pretrained KERMT encoder on a labeled CSV. Validate the checkpoint and data, prepare features, and run containerized training. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Write…
NVIDIA/skills★ 3.8kApache-2.0Folder:
bionemo-kermt-finetunemorning ai
AI news tracking skill that monitors 80+ entities across 6 free sources (Reddit, HN, GitHub, HuggingFace, arXiv, X/Twitter). Generates scored daily reports with infographics and message digests. Invoke via /morning-ai.
davepoon/buildwithclaude★ 3.7kMITFolder:
morning-ainew term radar
One run from signal to decision. Finds the names of new AI models, products and repositories seen in the last 24 hours (X, Hugging Face, GitHub, sitemaps), then builds a keyword priority table for them, each new name and the generic search terms behind it,…
zhuyansen/new-term-radar★ 2kMITFolder:
new-term-radarai listening
Collect what is new in AI in the last 24 hours across X, Hugging Face, GitHub and sitemaps, deduplicated, as one report of names that are starting to surge. Use when the user asks what is new or trending in AI today, wants a daily AI listening report, or…
zhuyansen/new-term-radar★ 2kMITFolder:
ai-listeningllm fine tuning
Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP. Covers dataset prep, training runs, and model export.
BagelHole/DevOps-Security-Agent-Skills★ 1.2kMITFolder:
llm-fine-tuningdiscover
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 (contribution candidates). Mines the bundled dataset, then expands…
taishi-i/awesome-japanese-nlp-resources★ 1kCC0-1.0Folder:
discoversearch
Search all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one:…
taishi-i/awesome-japanese-nlp-resources★ 1kCC0-1.0Folder:
searchdataset transformation
Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use…
awslabs/agent-plugins★ 932Apache-2.0Folder:
dataset-transformationtransformers bio nlp
HuggingFace Transformers with biomedical LMs (BioBERT, PubMedBERT, BioGPT, BioMedLM) for scientific NLP: NER (genes, diseases, chemicals), relation extraction, QA, text classification, abstract summarization. Covers loading, biomedical tokenization,…
jaechang-hits/SciAgent-Skills★ 384Licence: see repoFolder:
transformers-bio-nlpacademic aio
Use when a medical AI paper should be found and cited by AI search engines and RAG tools. Optimizes the title, abstract, summary box (Key Points, Research in Context), keywords, preprint, GitHub README/CITATION.cff and Hugging Face card, returning a…
Aperivue/medsci-skills★ 355MITFolder:
academic-aiogputw
GPUtw 台灣 GPU 雲端 REST API 整合助手（gputw, GPUtw.ai, 台灣 GPU 雲, 租 GPU, 裸機 GPU, GPU 執行個體）。 用有權限範圍的 API 金鑰（gputw_live_）部署與管理 GPU 執行個體、輪詢狀態、讀取用量與日誌、 在容器內執行指令、管理 HTTP 連接埠與 raw TCP/UDP、Vault 儲存空間（分段續傳上傳、Hugging Face 模型下載）、 點數帳務與團隊。適用於撰寫自動化腳本、CI、代理程式，以及除錯…
GPUtw-ai/GPUtw-Skill★ 119MITFolder:
GPUtw-Skillalterlab transformers
Loads, runs, and fine-tunes pretrained models with Hugging Face Transformers v5 (PyTorch-only) — pipeline() inference for chat-model text generation, text classification, NER, zero-shot, speech recognition, image classification, object detection, and…
AlterLab-IEU/AlterLab-Academic-Skills★ 80MITFolder:
alterlab-transformerscpu kernel authoring
Use when writing, optimizing, or benchmarking a C++ CPU kernel with AVX2 or AVX512 intrinsics for the Hugging Face kernels ecosystem. Not for CUDA kernels: use cuda.
OutlineDriven/outline-driven-development★ 55Apache-2.0Folder:
cpu-kernel-authoringrun llms
Set up and run local LLMs with Harbor. Use when the user wants to run models locally, install Harbor, start Open WebUI, llama.cpp, Ollama, vLLM, Docker Model Runner, MLX, or oMLX, pull GGUF or HuggingFace models, add SearXNG web search, Speaches TTS/STT,…
av/skills★ 28MITFolder:
run-llmsdspy data
Prepare training and dev data for DSPy - loading from CSV/JSON/HuggingFace, creating dspy.Example objects, setting input keys, and building train/dev splits. Use when you need to prepare data for DSPy optimizers, load labeled examples, or convert dataset…
lebsral/DSPy-Programming-not-prompting-LMs-skills★ 12No licence statedFolder:
dspy-databitnet
Microsoft BitNet — 1-bit LLM setup, inference, and benchmarking on CPU. Automates the full workflow: clone bitnet.cpp, create conda env, download GGUF models from HuggingFace, build optimized ternary kernels, and run inference. Supports official Microsoft…
broomva/skills★ 5MITFolder:
bitnet
Claude skills for Hugging Face: what people ask
Is there a Claude skill for Hugging Face?
Yes: 57 public skills from 22 GitHub repositories mention Hugging Face. The best-known ones named for it are huggingface tokenizers (Orchestra-Research/AI-Research-SKILLs, ★ 14k), huggingface accelerate (Orchestra-Research/AI-Research-SKILLs, ★ 14k) and huggingface (Anil-matcha/awesome-muse-connectors, ★ 1.4k). Stars belong to the whole repository, not to one skill.
How do I add huggingface tokenizers to Claude?
For Hugging Face, copy the huggingface-tokenizers folder from Orchestra-Research/AI-Research-SKILLs (the folder that holds SKILL.md) into ~/.claude/skills/ to use it in every Claude Code project, or into .claude/skills/ for one project. For the Claude apps, upload the zipped folder as a custom skill instead.
How recently were Hugging Face skills updated?
35 of the 57 Hugging Face skills sit in repositories that changed in the 30 days before 31 Oct 2026.
Are Hugging Face skills safe to install?
Installing a Hugging Face skill means Claude will follow its instructions and may run its scripts, so read SKILL.md and every script first: for huggingface tokenizers, that is everything in the huggingface-tokenizers folder. 4 of the 30 here come from repositories with under 10 stars, so few people have looked at them. Watch for downloads, commands that send data out, invisible characters, and text telling Claude to keep something from you.
What licences do these Hugging Face skills use?
Of the 30 Hugging Face skills listed here, 25 sit in repositories under an open licence such as MIT or Apache 2.0, and 4, such as huggingface best and huggingface community evals, state no licence at all, which legally means you may not reuse them. The licence badge on each card tells you which is which.
More topics: every “Claude skills for…” page.