Hugging Face agent skills, page 5

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/rsc-harness

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/rsc-harness

Shrink a HuggingFace safetensors model to 1 hidden layer for fast debugging without loading the full model into memory.

amd/Quark

Transcribes audio and video files to text using pluggable ASR backends.

swyxio/skills

Verify your Hugging Face account and search the model hub. An agent skill from Anil-matcha/awesome-muse-connectors.

Anil-matcha/awesome-muse-connectors

HuggingFace Hub — download models/datasets, upload artifacts, search, and manage tokens via CLI and Python API.

AlexAI-MCP/hermes-CCC

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/marketplace

Search and download research datasets from Kaggle, HuggingFace, and repos

wentorai/research-plugins

Search and discover ML models, datasets, and Spaces on Hugging Face

wentorai/research-plugins

Run NLP and CV model inference via Hugging Face free-tier API

wentorai/research-plugins

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/AREX-Skill

Add embeddings to Unstructured elements with provider-specific encoders, credential-safe configuration, and metadata-preserving enrichment checks.

VectorSpaceLab/AREX-Skill

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/AREX-Skill

Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints.

criptogus/agent-evolve-network

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/awesome-ascend-skills

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/awesome-ascend-skills

MindSpeed-MM weight conversion guide using mm-convert CLI tool.

ascend-ai-coding/awesome-ascend-skills

Install, manage, and run ComfyUI instances. An agent skill from sundial-org/awesome-openclaw-skills.

sundial-org/awesome-openclaw-skills

Python library for building ML demo UIs with minimal code. An agent skill from majiayu000/claude-skill-registry.

majiayu000/claude-skill-registry

Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval.

majiayu000/claude-skill-registry

Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata.

majiayu000/claude-skill-registry

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.

majiayu000/claude-skill-registry

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/rsc-harness

27 ai & machine learning skills. An agent skill from wentorai/research-plugins.

wentorai/research-plugins

Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks).

lazyFrogLOL/Harness_Engineering

Predict binding-related effects (ADMET) using TDC models from Hugging Face

lamm-mit/scienceclaw

Hugging Face expert: Transformers, Datasets, PEFT (LoRA/QLoRA), model fine-tuning, GGUF quantization, Text Generation Inference, pipeline optimization.

theneoai/awesome-skills

Model fine-tuning covering dataset preparation, LoRA and QLoRA, instruction tuning, RLHF and DPO, benchmarking, overfitting prevention, compute requirements, Hugging Face Trainer, and the…

FerroxLabs/wayland

Large language model fine-tuning expertise covering LoRA and QLoRA parameter-efficient methods, full fine-tuning strategies, dataset preparation and curation, instruction tuning, DPO alignment…

FerroxLabs/wayland

NLP processing covering tokenization, named entity recognition, sentiment analysis, text classification, summarization, topic modeling, language detection, text preprocessing, transformer…

FerroxLabs/wayland