huggingface-best Skill
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 m Published by huggingface in skills.
What is huggingface-best Skill?
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 m Published by huggingface in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Data analysis
- Design and media
- Deployment use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use huggingface-best Skill
- Use it for deployment.
- Use it for data analysis.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: huggingface
- Repository: huggingface/skills
- Skill file: skills/huggingface-best/SKILL.md
What it does
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 m
Skill instructions
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. Device → max parameter budget When a device is specified, extract its available memory (unified RAM for Apple Silicon, VRAM for discrete GPUs) and apply: - fp16 max params (B) ≈ memory (GB) ÷ 2 - Q4 max para
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Frequently asked questions
What is huggingface-best?
huggingface-best is a open-source AI agent skill with Copy skill directory. 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.
Who is huggingface-best best for?
huggingface-best is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows, design and media workflows.
How do I install huggingface-best?
Install or run huggingface-best using Copy skill directory. Check huggingface-best for the latest setup command.
Is huggingface-best actively maintained?
huggingface-best may need a closer maintenance check before production use.
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