Agent skill · Backend & API

hf-mcp

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill hf-mcp --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/hf-mcp/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Hugging Face MCP Server ## When to Use Use this skill when you need use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server. Connect AI assistants to the Hugging Face Hub. Setup: https://huggingface.co/settings/mcp ## Use Cases & Examples ### Find the Best Model for a Task ``` User: "Find the best model for code generation" 1. model_search(task="text-generation", query="code", sort="trendingScore", limit=10) 2. hub_repo_details(repo_ids=["top-result-id"], include_readme=true) ``` ### Compare Models from Different Providers ``` User: "Compare Llama vs Qwen for text generation" 1. model_search(author="meta-llama", task="text-generation", sort="downloads", limit=5) 2. model_search(author="Qwen", task="text-generation", sort="downloads", limit=5) 3. hub_repo_details(repo_ids=["meta-llama/Llama-3.2-1B", "Qwen/Qwen3-8B"], include_readme=true) ``` ### Find Training Datasets ``` User: "Find datasets for sentiment analysis in English" 1. dataset_search(query="sentiment", tags=["language:en", "task_categories:text-classificati

What's inside
Steps it walks through
  1. When to Use
  2. Use Cases & Examples
  3. Find the Best Model for a Task
  4. Compare Models from Different Providers
  5. Find Training Datasets
  6. Discover AI Tools (MCP Spaces)
  7. Generate Images
  8. Research a Topic
  9. Learn How to Use a Library
  10. Run a Quick GPU Job
  11. Train a Model on Cloud GPU
  12. Check Job Status
  13. Explore What's Trending
  14. Get Model Card Details
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About this skill
What does the hf-mcp skill do?

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill hf-mcp --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going