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hf-tool-builder

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

1|Updated Nov 7, 2025
Search Tags:#automation#api#cli#data processing#scripting#hugging face
One-click install
npx skills add https://github.com/POWERFULMOVES/PMOVES-BoTZ --skill hf-tool-builder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hf-tool-builder
Source: https://github.com/POWERFULMOVES/PMOVES-BoTZ/tree/main/.claude/skills/hf-tool-builder
Command: npx skills add https://github.com/POWERFULMOVES/PMOVES-BoTZ --skill hf-tool-builder

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 complex data fetching, enrichment, and processing tasks.

Core Features & Use Cases

  • Script Generation: Creates shell or Python scripts to fetch and process data from Hugging Face.
  • API Integration: Leverages Hugging Face API endpoints and the hf CLI tool.
  • Composability: Enables chaining and piping of API calls for complex workflows.
  • Use Case: Automatically download model metadata for trending models, filter them by download count, and extract specific information like license and pipeline tags into a structured JSON output.

Quick Start

Use the hf-tool-builder skill to create a bash script that fetches trending models and lists their IDs.

Frequently Asked Questions about hf-tool-builder

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

FAQPage Schema
How do I automate fetching data from the Hugging Face API using scripts?▼

Automating Hugging Face API data fetching involves generating reusable shell, Python, or TSX scripts that chain API calls and handle authentication via HF_TOKEN to extract structured data like model metadata.

What's the best way to download and filter Hugging Face trending models by download count?▼

Filtering trending Hugging Face models is done by generating a command-line script that fetches model metadata, filters by download count, and outputs specific fields like license and pipeline tags into a structured JSON file.

Can I use the Hugging Face CLI tool to chain multiple API calls together?▼

Chaining Hugging Face API calls is supported through generated command-line scripts that enable piping and composability, allowing complex data processing workflows to run sequentially in shell, Python, or TSX environments.

Do I need an HF_TOKEN to run scripts that interact with the Hugging Face API?▼

An HF_TOKEN is required for authentication when running generated scripts that interact with the Hugging Face API, ensuring secure access to endpoints for data fetching, enrichment, and processing tasks.

What types of scripts can I generate for automating repetitive Hugging Face operations?▼

Automating repetitive Hugging Face operations supports generating shell, Python, and TSX scripts that adhere to API best practices, facilitating tasks like data fetching, enrichment, and structured output extraction.

Why should I generate reusable command-line scripts instead of manually querying the Hugging Face API?▼

Generating reusable command-line scripts for Hugging Face API interactions prevents repetitive manual queries, automates complex data processing workflows, and ensures consistent adherence to API best practices and authentication standards.

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