url-content-loading

Load and extract text and metadata from URLs across multiple platforms.

2|Updated Feb 9, 2025
One-click install
npx skills add https://github.com/narumiruna/kabigon --skill url-content-loading
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: url-content-loading
Source: https://github.com/narumiruna/kabigon/tree/main/skills/url-content-loading
Command: npx skills add https://github.com/narumiruna/kabigon --skill url-content-loading

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Load and extract content from URLs across multiple platforms.

Core Features & Use Cases

  • Cross-platform URL content extraction for posts, videos, documents, and code repositories
  • Flexible loader selection via CLI or Python API
  • Async-first processing with a simple, extensible pipeline

Quick Start

Run the default URL loader pipeline on a target URL, for example uvx kabigon https://example.com.

Frequently Asked Questions about url-content-loading

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

FAQPage Schema
How do I extract text and metadata from a YouTube video URL?

Extracting content from a YouTube URL involves loading the video link through a multi-loader pipeline that fetches text and metadata across platforms. You can run this extraction asynchronously using the CLI or Python API, enabling retrieval of video post data.

Can I extract content from multiple social media platforms like Reddit and X simultaneously?

Yes, extracting content from multiple social platforms like Reddit and X is supported through an async-first multi-loader pipeline. It processes URLs from various sources including Truth Social and GitHub, extracting text and metadata concurrently across different platforms.

What is the best way to load content from a GitHub repository URL?

The best way to load content from a GitHub repository URL is using a cross-platform extraction pipeline. It applies a multi-loader approach to fetch text and metadata from code repositories, supporting both CLI execution and Python API integration for flexible content retrieval.

Does this URL content loader require explicit loader selection for different platforms?

No, explicit loader selection is optional when loading URL content across platforms. The multi-loader pipeline automatically handles extraction for social posts, videos, documents, and code repositories, while still allowing optional explicit loader specification via CLI or Python API if needed.

How do I start extracting URL content using the command line?

To start extracting URL content using the command line, run the default URL loader pipeline on a target URL. Executing a command with the target link loads and extracts text and metadata from the specified platform asynchronously without requiring Python code setup.