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.