hugging-face-tool-builder

Generates reusable shell, Python, or TSX scripts for Hugging Face API interactions.

1|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/yuxia214/-22 --skill hugging-face-tool-builder-yuxia214
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hugging-face-tool-builder
Source: https://github.com/yuxia214/-22/tree/main/.cursor/skills/hugging-face-tool-builder
Command: npx skills add https://github.com/yuxia214/-22 --skill hugging-face-tool-builder-yuxia214

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 models, datasets, and APIs.
  • API Integration: Leverages HF_TOKEN for authenticated access and higher rate limits.
  • Composability: Enables chaining and piping of API calls for complex data workflows.
  • Use Case: Automatically generate a script to find the top 10 most downloaded models for a specific task (e.g., text generation) and save their metadata to a JSON file.

Quick Start

Use the hugging-face-tool-builder skill to create a bash script that fetches model metadata for a given list of model 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 a script to fetch Hugging Face model metadata via the API?

Hugging Face API scripts can be generated in shell, Python, or TSX to fetch model and dataset information. The generated scripts handle authenticated access and can save metadata directly to formats like JSON for downstream processing.

Do I need an HF_TOKEN to automate data fetching from the Hugging Face Hub?

Yes, you need an HF_TOKEN for authenticated access to the Hugging Face Hub. Using the token provides higher rate limits and allows the generated scripts to access restricted or gated resources during automated data fetching pipelines.

Can I automate Hugging Face data processing pipelines by chaining API calls?

You can automate Hugging Face data processing pipelines by generating composable scripts that support chaining and piping. This enables complex data workflows where the output of one API call feeds directly into the next processing step.

What's the best way to find the most downloaded Hugging Face models for a specific task?

The best way to find the most downloaded models for a specific task is to generate a Python or shell script that queries the Hugging Face API, filters by task category like text generation, and saves the top results to a JSON file.

Does this tool support generating TSX scripts for interacting with Hugging Face datasets?

Yes, the tool supports TSX script generation alongside shell and Python for interacting with Hugging Face datasets. This allows you to integrate Hugging Face Hub resources directly into JavaScript or TypeScript automation workflows.

What are the limitations of using generated CLI tools for Hugging Face API automation?

Generated CLI tools for Hugging Face API automation are limited by API rate limits and require a valid HF_TOKEN for higher thresholds. They focus on data fetching and scripting, so they do not provide built-in model training or inference capabilities.