summarize

Summarize text from URLs, transcripts, and local files.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/DaTingLi/heimaclaw --skill summarize-datingli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: summarize
Source: https://github.com/DaTingLi/heimaclaw/tree/main/reference/nanobot/nanobot/skills/summarize
Command: npx skills add https://github.com/DaTingLi/heimaclaw --skill summarize-datingli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables fast extraction and summarization of information from websites, videos, and local documents, reducing time spent reading long content.

Core Features & Use Cases

  • URL summarization: Generate concise summaries of web pages.
  • Transcript extraction: Produce transcripts or briefings from audio/video sources.
  • Local document processing: Summarize files stored on disk for quick insights.

Quick Start

summarize https://example.com article to 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 long web page URL into a brief overview?

To summarize a web page URL, the skill scrapes the content from the provided link and processes the text to produce a concise, digestible summary of the article for quick reading.

Can I extract a transcript from a video or podcast for quick briefing?

Yes, you can generate transcripts or briefings from audio and video sources. The tool transcribes media content to extract text, enabling fast topic overviews without watching the full source.

What is the best way to summarize local documents stored on disk?

The best way to summarize local documents is processing the files directly with this tool, which reads stored text and outputs concise insights, reducing time spent reading lengthy files.

Does this summarization tool require any setup keys or specific models?

The tool requires a CLI-friendly environment and supports optional integration keys for transcription, allowing model selection to customize the text summarization and extraction process.

Are there limitations when extracting text from URLs with complex layouts?

URL scraping depends on the page structure; highly dynamic or script-heavy web pages may limit text extraction success, affecting the quality of the generated digestible summary.