# Hugging Face

> Use this tool when you need to discover and utilize pre-trained machine learning models, explore relevant datasets, or access model documentation to streamline your AI development workflow. It solves problems related to model selection, data preparation, and understanding model capabilities, making it easier to build and deploy AI applications. Ideal for data scientists and developers looking to accelerate their machine learning projects.

Canonical page: https://skillsregistry.net/skills/huggingface  
JSON: https://api.skillsregistry.net/v1/skills/huggingface

## Description

AI model hub for machine learning. Discover models, explore datasets, and access model documentation and capabilities.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/huggingface)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "huggingface"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/huggingface` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/huggingface/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt