# huggingface-best

> Claude/Codex skill by [@huggingface](https://omgskills.com/library/huggingface/index.md) · 11k stars · Updated 2026-10-08

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 to compare models by benchmark scores. Triggers on: "best model for X", "what model should I use for", "top models for \[task\]", "which model runs on my laptop/machine/device", "recommend a model for", "what LLM should I use for", "compare models for", "what's state of the art for", or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.

## Install

```sh
git clone https://github.com/huggingface/skills /tmp/skills && ln -s /tmp/skills/skills/huggingface-best ~/.claude/skills/huggingface-best
```

## From README

HuggingFace Best Model Finder Finds the best models for a task by querying official HF benchmark leaderboards, enriching results with model size data, filtering for what fits on the user's device, and returning a comparison table with benchmark scores. --- Step 1: Parse the request Extract from the user's message: Task: what they want the model to do (coding, math/reasoning, chat, OCR, RAG/retrieval, speech recognition, image classification, multimodal, agents, etc.) Device: hardware constraints (MacBook M-series 8/16/32/64GB unified memory, RTX GPU with VRAM amount, CPU-only, cloud/no constraint, etc.) If device is not mentioned, skip filtering entirely and return the highest-performing models regardless of size. If the task is genuinely ambiguous, ask one clarifying question.

## Links

- HTML page: https://omgskills.com/library/huggingface/skills/huggingface-best/
- GitHub: https://github.com/huggingface/skills
- Author: [@huggingface](https://omgskills.com/library/huggingface/index.md)

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