Hugging Face agent skills, page 2

Releases a new imcui version on GitHub, then deploys it to a test and a production Hugging Face Space from a dedicated huggingface branch.

Vincentqyw/image-matching-webui

Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.

Orchestra-Research/AI-Research-SKILLs

Run the repository commit workflow when the user explicitly asks to commit changes or create a save-point commit.

Julian-adv/OpenMMO

Trains and evaluates several WiFi-signal-based pose and sensing models, from unsupervised pose estimation to domain adaptation and publishing.

ruvnet/RuView

Adapts and debugs Hugging Face or local models to run on vLLM with Ascend NPU, validates them by serving, and delivers the result as one signed commit.

vllm-project/vllm-ascend

Searches and downloads legally accessible academic PDFs, OCRs them to Markdown, and organizes the results into a traceable, AI-readable literature library.

LigphiDonk/Oh-my--paper

Daily paper/repo digest where YOU are the reader. An agent skill from AI45Lab/iDeer.

AI45Lab/iDeer

Guide for adding a new model to the Archon engine. An agent skill from areal-project/AReaL.

areal-project/AReaL

Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real.

EGalahad/sim2real

Generates AI-BOM, MCP inventory, AI skill inventory, and AI authorship provenance documents with cdxgen, cataloging models, inference services, Hugging Face purls, MCP servers and their…

cdxgen/cdxgen

Add a new HuggingFace-supported VAE to the stage1 tokenizer pipeline.

End2End-Diffusion/diffusion-bench

A skill your agent uses when adding support for a new model to VeOmni.

ByteDance-Seed/VeOmni

Adapt and port new LLM model architectures to this xinfer project.

guoqingbao/xinfer

Train or fine-tune language models with TRL or Unsloth on Hugging Face Jobs, including SFT, DPO, GRPO, reward models, and GGUF conversion.

waybarrios/opencode-power-pack

A skill your agent uses when optimizing or generating a CUDA megakernel for a HuggingFace Llama-family model with AutoMegaKernel (AMK), drives the correctness-gated propose - eval - keep/revert loop…

RightNow-AI/AutoMegaKernel

Always resolve Hugging Face models via model-shelf before any download.

alexziskind1/model-shelf

Uses the Outlines library to constrain model output to a JSON schema, Pydantic model, regex or fixed set of choices when running local models.

Orchestra-Research/AI-Research-SKILLs

Prepare a macOS or Ubuntu machine for edge-e3 development, diagnose missing Verilator/LLVM/Python dependencies, initialize the public repository, and answer or act on the example prompts in the root…

exeex/edge-cores

Integrate new evaluation datasets into FlagEvalMM as benchmark tasks.

flageval-baai/FlagEvalMM

Check model compatibility with xinfer before loading. An agent skill from guoqingbao/xinfer.

guoqingbao/xinfer

Prepare, publish, refresh, or validate the TraceLab public dataset on Hugging Face under UW-SyFI/TraceLab.

uw-syfi/TraceLab

Generates and edits images with Stable Diffusion through Hugging Face Diffusers, covering text-to-image, image-to-image, inpainting, SDXL and custom pipelines.

Orchestra-Research/AI-Research-SKILLs

Train object-detection, image-classification, or SAM segmentation models on Hugging Face Jobs.

waybarrios/opencode-power-pack

Builds an operator-level compute template for an LLM and estimates FLOPs and MFU for a serving shape, with tensor shapes and parallelism what-if checks.

BBuf/AI-Infra-Auto-Driven-SKILLS

Find which provable-contracts YAML contracts a Hugging Face model needs, create missing contracts, generate Rust artifacts, and implement all stubs.

paiml/aprender

Builds an OpenEnv (Hugging Face) variant of an RL environment.

adithya-s-k/FineEnvs

Benchmarks code generation models with the BigCode Evaluation Harness across HumanEval, MBPP, MultiPL-E and other suites using pass@k metrics.

Orchestra-Research/AI-Research-SKILLs

Generate model metadata for an ML model so it works with xybrid.

xybrid-ai/xybrid

Test LLM models served by xinfer for correctness, output quality, and performance.

guoqingbao/xinfer

为 Rion 生成带跨日变化、可信度分层、商业机会和 X 草稿的每日 AI/Web3 早报. An agent skill from Rion-Wu-tech/ai-daily-briefing.

Rion-Wu-tech/ai-daily-briefing

Fetch and summarize recent AI news from curated RSS feeds (Hugging Face, VentureBeat, The Verge, OpenAI, Anthropic, DeepMind, etc.) and YouTube channels (Yannic Kilcher, Two Minute Papers, AI…

letta-ai/skills

A skill your agent uses when the user asks to "scout for new models", "check for model updates", "find better ASR models", "check sherpa-onnx releases", "look for new Whisper models", "search…

RisorseArtificiali/anti-vocale

Review and repair pull requests on the evaleval/EEEdatastore Hugging Face dataset.

evaleval/every_eval_ever

Search all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face).

taishi-i/awesome-japanese-nlp-resources

Adds distributed and mixed-precision training to a PyTorch script with a few Accelerate lines, then launches it on one GPU, many GPUs or DeepSpeed and FSDP setups.

Orchestra-Research/AI-Research-SKILLs

Integrate a new text-to-speech model into vLLM-Omni from HuggingFace reference implementation through production-ready serving with streaming and CUDA graph acceleration.

vllm-project/vllm-omni

HuggingFace Transformers integration for PerforatedAI. An agent skill from PerforatedAI/PerforatedAI.

PerforatedAI/PerforatedAI

Produces ranked, evidence-grounded next steps when an ML experiment has stalled, drawing on a Leeroopedia knowledge base or on fetched docs and issues.

Leeroo-AI/superml

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/video-search-and-summarization

Draw Sebastian-Raschka-gallery-style TikZ architecture diagrams for any HuggingFace decoder-only LLM, with per-block parameter formulas and concrete numbers.

yzlnew/infra-skills

Half-Quadratic Quantization for LLMs without calibration data.

Orchestra-Research/AI-Research-SKILLs

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace.

Orchestra-Research/AI-Research-SKILLs

Guides causal experiments on PyTorch models with pyvene, such as causal tracing, activation patching and interchange intervention training, to test how a model works.

Orchestra-Research/AI-Research-SKILLs

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/AI-Research-SKILLs

Uses Ray Data to read, transform and write large datasets across a cluster for ML training and batch inference, with streaming execution and optional GPU steps.

Orchestra-Research/AI-Research-SKILLs

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/AI-Research-SKILLs

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/AI-Research-SKILLs

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/AI-Research-SKILLs