skills.rest
oabdelmaksoud
oabdelmaksoudCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

hugging-face-tool-builder

Create reusable command-line tooling for Hugging Face API workflows.

4|Updated Feb 26, 2026
Search Tags:#automation#api#cli#tooling#scripting#data-processing#huggingface
One-click install
npx skills add https://github.com/oabdelmaksoud/Openclaw-skills-Compilations --skill hugging-face-tool-builder-oabdelmaksoud
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hugging-face-tool-builder
Source: https://github.com/oabdelmaksoud/Openclaw-skills-Compilations/tree/main/hugging-face-tool-builder
Command: npx skills add https://github.com/oabdelmaksoud/Openclaw-skills-Compilations --skill hugging-face-tool-builder-oabdelmaksoud

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides tooling to build reusable command-line scripts and utilities for interacting with the Hugging Face API, enabling chaining, piping, and automation of data tasks across HF models, datasets, and model cards.

Core Features & Use Cases

  • Reusable scripts and utilities to fetch, enrich, and process HF data.
  • Support for chaining commands, piping results, and composing small steps into larger workflows.
  • Use cases include discovering models, enriching metadata, and extracting model card information via HF CLI or API.

Quick Start

Install the Hugging Face CLI and run the provided reference scripts to begin building reusable HF data tooling.

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 automate Hugging Face API data workflows from the command line?▼

Hugging Face API automation is achieved by building reusable CLI scripts that support command chaining and piping. This skill provides scripting templates and references to automate data workflows like model discovery and metadata extraction.

What is the best way to chain and pipe Hugging Face model discovery commands?▼

Chaining and piping Hugging Face model discovery commands is done using composable CLI scripts that output NDJSON-friendly data. This enables piping model discovery results directly into metadata enrichment and model-card extraction workflows.

Do I need an HF_TOKEN to extract Hugging Face model cards via the API?▼

An optional HF_TOKEN is required to authenticate and extract Hugging Face model cards via the API. Including the token in your CLI scripts enables access to gated models and ensures reliable metadata extraction during automation.

Can I use these scripting templates to enrich metadata for Hugging Face datasets?▼

These scripting templates can be used to enrich metadata for Hugging Face datasets. The skill provides command-line utilities designed to fetch, enrich, and process HF data across models, datasets, and model cards through API automation.

What format do the CLI tooling outputs use for pipeline integration?▼

The CLI tooling outputs use NDJSON-friendly formats for pipeline integration. This allows fetched Hugging Face data and enriched metadata to be easily chained and piped into downstream data-processing workflows and automation steps.

Related Skills

Explore More Software Engineering Skills→
Andrew-GirgisAndrew-Girgis

huggingface-tool-builder

Create reusable scripts for interacting with the Hugging Face API.

Community
Intermediate
yjzhang2003yjzhang2003
26

lark-event

Subscribe to real-time Feishu events via WebSocket and output NDJSON.

Community
Advanced
ClyptAIClyptAI

huggingface-tool-builder

Build reusable CLI tools for Hugging Face API workflows with NDJSON outputs.

Official
Intermediate
iani-kuliiani-kuli

huggingface-tool-builder

Creates reusable CLI tools for Hugging Face Hub API workflows with chaining and piping support.

Community
Intermediate