hugging-face-tool-builder

Generate shell, Python, or TSX scripts for the Hugging Face API.

1|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/FacuM/yolo-agent --skill hugging-face-tool-builder-facum
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hugging-face-tool-builder
Source: https://github.com/FacuM/yolo-agent/tree/main/.claude/skills/hugging-face-tool-builder
Command: npx skills add https://github.com/FacuM/yolo-agent --skill hugging-face-tool-builder-facum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation of reusable command-line scripts and utilities for interacting with the Hugging Face API, simplifying data fetching, enrichment, and processing tasks.

Core Features & Use Cases

  • Script Generation: Creates shell, Python, or TSX scripts to interact with Hugging Face APIs.
  • API Integration: Leverages HF_TOKEN for authenticated and rate-limited access.
  • Composability: Designs scripts for chaining and piping with other tools like jq.
  • Use Case: Automatically generate a script to fetch model metadata for all models tagged with 'nlp' and sort them by download count.

Quick Start

Use the hugging-face-tool-builder skill to create a bash script that fetches trending models and outputs their IDs.

Frequently Asked Questions about hugging-face-tool-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate scripts to fetch Hugging Face model and dataset information?

You can generate reusable shell, Python, or TSX scripts to fetch Hugging Face model and dataset information. The tool automates API interactions, handles authentication via HF_TOKEN, and structures responses for easy processing.

What is the best way to automate fetching trending models from the Hugging Face API?

The best way to automate fetching trending models is to generate a bash script using this tool. It creates composable command-line utilities that leverage HF_TOKEN for authenticated access and pipe outputs to tools like jq for sorting and formatting.

Does this tool require an HF_TOKEN for Hugging Face API authentication?

Yes, an HF_TOKEN is required for Hugging Face API authentication. The generated scripts automatically handle authentication using this token to ensure rate-limited and secure access when fetching data.

Can I use the generated Hugging Face API scripts with other command-line tools?

Yes, you can use the generated Hugging Face API scripts with other command-line tools. The scripts are designed for composability, allowing you to chain and pipe API outputs directly into tools like jq for further data processing.

How do I create a Python script to process Hugging Face API responses?

You can create a Python script to process Hugging Face API responses by specifying your requirements. The tool generates a reusable Python script that handles API requests, authentication via HF_TOKEN, and response data extraction automatically.