Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.
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.
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
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A fork of huggingface/skills — a collection of AI-powered skills and agents for various tasks.
This repository contains a curated marketplace of skills that can be used with AI assistants and coding tools like Claude and Cursor. Each skill is a self-contained capability that can be discovered, installed, and executed within supported environments.
.
├── .claude-plugin/ # Claude plugin integration
│ ├── plugin.json # Plugin metadata and configuration
│ └── marketplace.json # Available skills for Claude
├── .cursor-plugin/ # Cursor plugin integration
│ ├── plugin.json # Plugin metadata and configuration
│ └── marketplace.json # Available skills for Cursor
├── .github/
│ └── workflows/
│ ├── generate-agents.yml # Auto-generate agent definitions
│ ├── push-evals-leaderboard.yml # Update evaluations leaderboard
│ └── push-hackers-leaderboard.yml # Update hackers leaderboard
└── skills/ # Individual skill implementations
└── personal/ # My custom skills (not in upstream)
.claude-plugin/plugin.json.claude-plugin/marketplace.json.cursor-plugin/plugin.json.cursor-plugin/marketplace.jsonWe welcome contributions! To add a new skill:
git checkout -b feat/my-new-skillmarketplace.json filesLeaderboards are automatically updated via GitHub Actions and published to the Hugging Face Hub.
Please review our Security Policy before reporting vulnerabilities.
This project is licensed under the Apache 2.0 License — see the LICENSE file for details.
Personal fork notes: I'm using this primarily to experiment with custom Claude skills for my own workflows. The
skills/personal/directory contains my personal additions on top of the upstream collection. Upstream skills live inskills/(excludingpersonal/). I try to keep my personal skills isolated so merging upstream changes stays straightforward — rungit fetch upstream && git merge upstream/mainto pull in updates.
npx claudepluginhub mineshba4568basht/skillsCore Hugging Face Hub operations through the hf CLI, including skill installation, repo management, jobs, datasets, models, Spaces, and discovery.
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Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.