This project is an extension of the Hugging Face Skills project. Hugging Face Skills are definitions for AI/ML tasks like dataset creation, model training, and evaluation. They are interoperable with all major coding agent tools like Claude Code. This repository includes a new skill for Bright Data to interact with the web and perform various tasks.

The Skills in this repository follow the standardized format Agent Skill format.

How do Skills work?

In practice, skills are self-contained folders that package instructions, scripts, and resources together for an AI agent to use on a specific use case. Each folder includes a SKILL.md file with YAML frontmatter (name and description) followed by the guidance your coding agent follows while the skill is active.

Installation

Run the following commands to test it out yourself:

Clone the repository and navigate to the project directory.
Install skills:

bash scripts/link-skills.sh

Run Claude Code:

claude

Verify skills:

/skills

Follow the following blog post for more information:

We Got Claude to Fine-Tune an Open Source LLM

Skills

This repository has the following skills:

Available skills

Name	Description	Documentation
`brightdata-web-mcp`	Use Bright Data Web MCP to interact with the web and perform various tasks.	SKILL.md
`hugging-face-cli`	Execute Hugging Face Hub operations using the hf CLI. Download models/datasets, upload files, manage repos, and run cloud compute jobs.	SKILL.md
`hugging-face-datasets`	Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation.	SKILL.md
`hugging-face-evaluation`	Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom evaluations with vLLM/lighteval.	SKILL.md
`hugging-face-jobs`	Run compute jobs on Hugging Face infrastructure. Execute Python scripts, manage scheduled jobs, and monitor job status.	SKILL.md
`hugging-face-model-trainer`	Train or fine-tune language models using TRL on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes hardware selection, cost estimation, Trackio monitoring, and Hub persistence.	SKILL.md
`hugging-face-paper-publisher`	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.	SKILL.md
`hugging-face-tool-builder`	Build reusable scripts for Hugging Face API operations. Useful for chaining API calls or automating repeated tasks.	SKILL.md
`hugging-face-trackio`	Track and visualize ML training experiments with Trackio. Log metrics via Python API and retrieve them via CLI. Supports real-time dashboards synced to HF Spaces.	SKILL.md

Using skills in your coding agent

Once a skill is installed, mention it directly while giving your coding agent instructions:

"Use the Bright Data web skill to scrape this website 'https://example.com/'."
"Use the HF LLM trainer skill to estimate the GPU memory needed for a 70B model run."
"Use the HF model evaluation skill to launch run_eval_job.py on the latest checkpoint."
"Use the HF dataset creator skill to draft new few-shot classification templates."
"Use the HF paper publisher skill to index my arXiv paper and link it to my model."

Your coding agent automatically loads the corresponding SKILL.md instructions and helper scripts while it completes the task.

Customize a skill

Copy one of the existing skill folders (for example, hf-datasets/) and rename it.

Update the new folder's SKILL.md frontmatter:

---
name: my-skill-name
description: Describe what the skill does and when to use it
---

# Skill Title

Guidance + examples + guardrails

Add or edit supporting scripts, templates, and documents referenced by your instructions.
Add an entry to .claude-plugin/marketplace.json with a concise, human-readable description.
Run python scripts/generate_agents.py to validate the structure.
Reinstall or reload the skill bundle in your coding agent so the updated folder is available.

Marketplace

The .claude-plugin/marketplace.json file lists skills with human-readable descriptions for the plugin marketplace. The CI validates that skill names and paths match between SKILL.md files and marketplace.json, but descriptions are maintained separately: SKILL.md descriptions guide when Claude activates the skill, while marketplace descriptions are written for humans browsing available skills.

Additional references

Browse the latest instructions, scripts, and templates directly at huggingface/skills.
Review Hugging Face documentation for the specific libraries or workflows you reference inside each skill.
Review Bright Data documentation for anything related to Bright Data.

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Contribution

Contributions are welcome! Feel free to fork this repository and submit pull requests with your improvements.

README.md

Hugging Face Skills (with Brightdata support)