skills
Skills and an MCP server that let Claude Code work with the Hugging Face Hub, covering model training, dataset creation, the hf CLI, and deploying models to Amazon SageMaker.
26 skills11k
@huggingface- 12,035Stars earned
- 2Plugins
- 31Skills
- 1MCP server
Plugins
2@huggingfacekernels
Skills for writing, optimizing, and benchmarking GPU compute kernels for Hugging Face libraries, covering CUDA on NVIDIA, Triton on NVIDIA and AMD, ROCm on AMD, Intel XPU, and C++ CPU SIMD kernels.
5 skills783
@huggingfaceSkills
31cpu-kernels
Provides guidance for writing, optimizing, and benchmarking C++ CPU kernels with SIMD intrinsics (AVX2/AVX512) for the Hugging…
@huggingfacecuda-kernels
Provides guidance for writing and benchmarking optimized CUDA kernels for NVIDIA GPUs (H100, A100, T4) targeting HuggingFace…
@huggingfacehf-cli
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and…
@huggingfacehf-cloud-aws-context-d…
Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use…
@huggingfacehf-cloud-python-env-se…
Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill…
@huggingfacehf-cloud-sagemaker-dep…
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host,…
@huggingfacehf-cloud-sagemaker-iam…
Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker…
@huggingfacehf-cloud-sagemaker-pro…
Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging…
@huggingfacehf-cloud-serving-image…
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about…
@huggingfacehf-mcp
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run…
@huggingfacehf-mem
Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
@huggingfacehuggingface-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…
@huggingfaceMCP server
1huggingface-skills
MCPA platform for hosting, sharing and running open-source machine learning models, datasets and demos.
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