summarize

Summarize and extract text content from URLs, podcasts, and local files.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/softweek/openclaw --skill summarize-softweek
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize
Source: https://github.com/softweek/openclaw/tree/main/publish_output/skills/summarize
Command: npx skills add https://github.com/softweek/openclaw --skill summarize-softweek

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the process of extracting key information from various sources like web pages, audio transcripts, and local documents, saving users time and effort in understanding content.

Core Features & Use Cases

  • Content Summarization: Condenses lengthy articles, transcripts, or documents into concise summaries.
  • URL Content Extraction: Extracts and summarizes content directly from web links.
  • Fallback Transcription: Provides a best-effort transcript for YouTube videos without requiring separate tools.

Quick Start

Use the summarize skill to get a 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 content directly from a web URL?

To summarize content from a web URL, the Skill extracts text from the provided link and condenses it into a concise summary. It handles web links by automating information extraction to save manual reading time.

Can I get a transcript for YouTube videos without separate tools?

Yes, you can get a YouTube video transcript without separate tools because the Skill provides a best-effort fallback transcription. It directly extracts and summarizes YouTube video content without requiring external transcription services.

What is the best way to extract key information from local documents and podcasts?

The best way to extract key information from local documents and podcasts is using this Skill to automate the summarization process. It condenses lengthy audio transcripts and local files into concise summaries for quick comprehension.

Does the summarization process support different extraction models?

Yes, the summarization process supports various summarization models and extraction fallbacks. This design ensures comprehensive content processing for URLs, podcasts, and local files even when standard text extraction methods fail.

Are there limitations when transcribing YouTube video content?

A limitation when transcribing YouTube video content is that the Skill provides a best-effort transcript rather than a guaranteed exact transcription. It relies on fallback extraction mechanisms to handle video content processing.