summarize

Summarizes text from URLs, files, and YouTube transcripts using AI models.

12|3|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/ApiliumCode/mayros --skill summarize-apiliumcode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize
Source: https://github.com/ApiliumCode/mayros/tree/main/skills/summarize
Command: npx skills add https://github.com/ApiliumCode/mayros --skill summarize-apiliumcode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a fast command-line interface to condense information from various sources like web pages, audio/video transcripts, and local files into concise summaries.

Core Features & Use Cases

  • URL Summarization: Quickly grasp the content of articles or web pages without reading them entirely.
  • File Summarization: Extract key information from local documents.
  • Transcript Extraction: Get a summary or transcript from YouTube videos or podcasts.
  • Use Case: You receive a long article link from a colleague; use this skill to get a quick summary before deciding to read it in full.

Quick Start

Use the summarize skill to get a short summary of the content at https://example.com.

Frequently Asked Questions about summarize

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

FAQPage Schema
How do I summarize web pages and articles from a URL quickly?

To summarize web pages from a URL, provide the link to the summarize command-line interface, which uses AI models to condense the text content into a quick summary. This facilitates fast information retrieval without reading the entire page.

Can I extract and summarize transcripts from YouTube videos and podcasts?

Yes, you can summarize transcripts from YouTube videos and podcasts. The Skill processes audio and video transcripts using various LLM providers, extracting key information and condensing it for efficient knowledge acquisition.

How do I get a summary of local files using an LLM?

You can summarize local files by passing them to the command-line interface, which extracts and condenses key information from local documents using configured AI models. This allows you to quickly grasp file content.

Does this summarization tool support different LLM providers?

Yes, the summarization tool supports multiple LLM providers, allowing you to generate summaries from URLs, files, and transcripts using your preferred AI models. It also offers options for output length and extraction modes.

What is the best way to condense long articles for quick reading?

The best way to condense long articles is using a command-line summarization tool that processes URLs and local files with AI models. It provides options for output length and extraction modes, enabling efficient content condensation.

Are there limitations when transcribing podcasts with a CLI summarizer?

The CLI summarizer focuses on processing existing YouTube video transcripts and local files rather than direct audio extraction. You must have accessible text content or video transcripts available for the AI models to condense effectively.