summarize

Summarize text from URLs, local files, and YouTube videos.

23|10|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/deepgram/dglabs-deepclaw --skill summarize-deepgram
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize
Source: https://github.com/deepgram/dglabs-deepclaw/tree/main/skills/summarize
Command: npx skills add https://github.com/deepgram/dglabs-deepclaw --skill summarize-deepgram

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires summarize, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of summarizing text from a variety of sources, saving time and improving efficiency when seeking a quick overview of information.

Core Features & Use Cases

  • Content Summarization: Summarize text from URLs, podcasts, and local files.
  • YouTube Extraction: Extract summaries from YouTube videos and transcripts.
  • Use Case: Quickly understand the main points of a long article, podcast episode, or YouTube video without having to watch or read the entire content.

Quick Start

Use the summarize skill to generate a summary of the content from '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 a YouTube video or podcast without watching the whole thing?

You can summarize YouTube videos and podcasts by providing their URLs, allowing the tool to extract transcripts and generate concise text summaries of the main points using models from OpenAI, Anthropic, or Google.

Can I extract a summary from local files and web URLs?

Yes, you can summarize content from both local files and web URLs. The tool processes text from these sources to provide a quick overview, helping you manage information overload from lengthy articles or documents.

What is the best way to get a quick overview of a long article?

Using text summarization on a long article's URL is the best way to get a quick overview. This approach leverages advanced language models to distill the content into a concise summary without requiring you to read the entire text.

Does content extraction for summarization work with models from Google and Anthropic?

Yes, content extraction and summarization work with models from Google and Anthropic, as well as OpenAI. This multi-model support ensures you can generate concise summaries from your URLs, podcasts, and local files using your preferred provider.

When do I need text summarization for podcasts and videos?

You need text summarization for podcasts and videos when facing information overload and requiring a quick understanding of the content. It is ideal for extracting main points from episodes or videos without watching or listening to the entire recording.