summarize

Summarize text content from URLs, transcripts, and local files.

1|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/sarathi-aiml/openclaw-zero-trust --skill summarize-sarathi-aiml
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize
Source: https://github.com/sarathi-aiml/openclaw-zero-trust/tree/main/skills/summarize
Command: npx skills add https://github.com/sarathi-aiml/openclaw-zero-trust --skill summarize-sarathi-aiml

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Summarize or extract text from URLs, podcasts, and local files to quickly understand content without reading full texts.

Core Features & Use Cases

  • URL summarization: Generate concise summaries of web articles.
  • Transcript extraction: Produce summaries from podcast or video transcripts.
  • Local file support: Summarize documents stored on your device.

Quick Start

Summarize a URL or local file in a single command using your preferred model.

Frequently Asked Questions about summarize

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

FAQPage Schema
How do I summarize content from a URL or local file quickly?

Summarizing content from a URL or local file requires a configured local or hosted model to process web pages, local documents, and transcripts, extracting main ideas and key points into concise summaries.

Can I generate summaries from podcast transcripts and YouTube videos?

Yes, you can generate summaries from podcast transcripts and YouTube videos by processing the extracted text content to quickly understand the main ideas without reading or watching the full original media.

Do I need API keys to extract text from URLs and local documents?

You need a configured local or hosted model to extract text from URLs and local documents, and optional API keys are required if you choose to use specific external model providers for the summarization process.

What is the best way to extract main ideas from long web articles?

The best way to extract main ideas from long web articles is by using URL summarization, which processes the text content and generates a concise summary of the key points for quick comprehension.

Are there limitations when summarizing local files with a hosted model?

Limitations when summarizing local files depend on proper input handling for file paths and the specific capabilities of your configured local or hosted model to read and process the document text accurately.