summarize

Extract essential meaning from URLs, transcripts, and local documents into concise summaries.

19|2|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/perminder-klair/ruuh --skill summarize-perminder-klair
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize
Source: https://github.com/perminder-klair/ruuh/tree/main/agent/.pi/skills/summarize
Command: npx skills add https://github.com/perminder-klair/ruuh --skill summarize-perminder-klair

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps extract and summarize text from URLs, local files, and multimedia sources, providing quick insights when you can't read long content.

Core Features & Use Cases

  • URL and video summarization: Generate concise summaries from web pages and YouTube transcripts.
  • Local file summarization: Summarize PDFs, documents, and transcripts stored on your device.
  • Model-and-key management: Supports multiple providers and API keys to tailor the summarization model.

Quick Start

Summarize the given URL, YouTube transcript, or local file into a concise summary.

Frequently Asked Questions about summarize

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

FAQPage Schema
How do I summarize a YouTube transcript or web page URL into a concise text preview?

To summarize a YouTube transcript or web page URL, the skill extracts essential meaning from the source and generates a concise plain text or structured JSON preview for quick content review.

Can I summarize local PDF files and text documents stored on my device?

Yes, you can summarize local PDF files and text documents. The skill identifies and extracts essential meaning from local files to produce concise previews for your research or note-taking workflows.

Do I need to configure API keys to use different summarization providers?

Yes, you need API keys to manage summarization providers. The skill supports multiple providers and API keys, allowing you to tailor the underlying model used for extracting and summarizing text.

What is the best way to summarize long web content for research workflows?

The best way to summarize long web content for research is applying this skill to URLs, transcripts, and local documents. It extracts essential meaning and loads into context for follow-up questions.

Does the summarization output support structured JSON or only plain text?

The summarization output supports both plain text and structured JSON. This allows flexible integration into downstream content review workflows or direct loading into context for follow-up questions.